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The economic potential of generative AI

project 1d28ed035be85d7f

Normalized: economic potential of generative ai

moreland_contracts

Entity Properties (gold project table)

project_id

1d28ed035be85d7f

name

The economic potential of generative AI

client_id

—

canonical_metadata

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created_at

2026-02-12 05:36:54.288209+00:00

updated_at

2026-02-12 05:36:54.288209+00:00

status

—

billable

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recurring

—

squad

—

qa_partner

—

project_manager

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lead_dev

—

description

—

state

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team_name

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closedate

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dealstage

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contract_type

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contract_hourly_rate

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contract_estimated_hours

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contract_total_fee

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57%

Moderate — a somewhat similar entity exists

100%

Strong source linkage

Source Mappings (51)

	Source	Source ID	Display Name	Confidence	Method	Status
	moreland_contracts	ESLUeQeWUxLYkQ	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-03T18:06:56.574901+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-04T02:07:12.054465+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	5UPQ/7nO00YlzQ	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-03-03T06:05:56.761858+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	phROtXhVF7aSeA	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-03-04T06:07:52.551532+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	klkB6oAilY4Sgw	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-03-02T17:49:52.842757+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	NYlxZiABHDBbIg	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-26T02:06:45.642745+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	hv1sspGEMxogSQ	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-25T00:06:02.012919+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	UtstD0nCPCbizQ	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-21T02:06:58.634079+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	jfx9ofRiAHyklg	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-21T12:06:25.170603+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	xbBSjmS3WLdxGw	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-20T12:06:35.555109+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
	moreland_contracts	2haqOptYoiMWPA	The economic potential of generative AI	1.00	exact	Active
Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-20T18:06:02.669829+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-21T18:06:31.618507+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-24T00:06:15.043670+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-23T12:06:29.978734+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-24T18:06:48.583756+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-25T02:06:22.085393+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-03T02:07:02.714720+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-26T18:06:35.844289+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-03-04T12:06:34.419276+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-03T00:05:57.242350+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-02T17:50:07.622459+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-24T06:06:29.343757+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-24T12:06:22.157560+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-23T00:07:31.674989+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-24T02:07:20.304950+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-19T03:12:41.642889+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-19T12:06:56.518239+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-22T02:06:36.388166+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-20T06:06:38.930998+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-19T18:06:51.505595+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-03-04T00:06:49.199009+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-03T12:05:10.244031+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact of generative AI across various industries and its potential to enhance productivity. start_date — extracted_at 2026-03-04T18:07:00.495481+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-26T00:06:45.887429+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-25T18:07:12.945732+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-25T06:06:49.490493+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-23T06:07:50.746049+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-21T06:06:38.292743+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-22T00:06:07.043699+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-22T06:05:45.790943+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-20T00:05:45.325519+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-23T18:07:18.656235+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-03-02T18:06:12.384642+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact of generative AI and its potential to enhance productivity across various industries. start_date — extracted_at 2026-02-26T12:07:09.605649+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-25T12:06:28.318876+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic potential and productivity impact of generative AI across various industries. start_date — extracted_at 2026-02-19T03:10:33.647594+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-19T06:06:49.627507+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-22T12:06:21.412346+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries. start_date — extracted_at 2026-02-21T00:07:28.252081+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-20T02:07:26.126543+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —
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Source Record bronze_moreland_contracts_ma_project_contracts file_hash 28f5f7a9ca9fc30115acd033ce4f0b33 file_name the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf file_path https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/Shared%20Documents/Internal%20-%20Business%20Development/Signet/the-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf company — project_name The economic potential of generative AI contact_person — contract_type — hourly_rate — estimated_hours — total_fee_estimate — brief_project_description Research on the economic impact and potential of generative AI across various industries and functions. start_date — extracted_at 2026-02-23T02:06:52.499119+00:00 raw_text_preview The economic potential of generative AI June 2023The economic potential of generative AI The next productivity frontier Authors Michael Chui Eric Hazan Roger Roberts Alex Singla Kate Smaje Alex Sukharevsky Lareina Yee Rodney Zemmel ii The economic potential of generative AI: The next productivity frontier Contents Key insights 3 Chapter 1: Generative AI as a technology catalyst 4 Glossary 6 Chapter 2: Generative AI use cases across functions and industries 8 Spotlight: Retail and consumer packaged goods 27 Spotlight: Banking 28Spotlight: Pharmaceuticals and medical products 30 Chapter 3: The generative AI future of work: Impacts on work activities, economic growth, and productivity 32 Chapter 4: Considerations for businesses and society 48 Appendix 53 1 The economic potential of generative AI: The next productivity frontier 2 The economic potential of generative AI: The next productivity frontier 1. Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. 2. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D . Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content f file_created_at 2024-03-13T14:59:14+00:00 file_modified_at 2024-03-13T14:58:22+00:00 created_by Paul Franke modified_by Paul Franke _dlt_meta —

The economic potential of generative AI

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