中小企业人工智能采用情况

OECD discussion paper for the G7 Disclaimers This document was prepared by the Organisation for Economic Co-operation and Development (OECD)at the requestof the 2025 G7 Presidency of Canada. It was drafted by the OECD’sCentre for Entrepreneurship, SMEs, Regions andCities(CFE);Directorate for Employment, Labour and Social Affairs (ELS)andDirectorate for Science,Technologyand Innovation (STI).The paper aimstoinform thedevelopment ofthe proposed G7SME AI Adoption Blueprintin thecontext of theG7 Industry, Digital, and Technology Working GroupandtheG7 Industry, Digital and TechnologyMinisterial Meeting (IDTMM)on7-9 December 2025in Montreal, Quebec, Canada. This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed andarguments employed herein do not necessarily reflect the official views of OECDMember countries. This document, as well as any data and map included herein, are without prejudice to the status of or sovereignty overany territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use ofsuch data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlementsin the West Bank under the terms of international law. Cover image: © Gorodenkoff/GettyImages. © OECD 2025 Attribution 4.0 International (CC BY 4.0) This work is made available under the Creative Commons Attribution 4.0 International licence. By using this work, you acceptto bebound by the terms of this licence (https://creativecommons.org/licenses/by/4.0/ ). Attribution–you must cite the work. Translations–you must cite the original work, identify changes to the original and add the following text:In the event of anydiscrepancy between the original work and the translation, only the text of original work should be considered valid. Adaptations–you must cite the original work and add the following text:This is an adaptation of an original work by the OECD.The opinions expressed and arguments employed in this adaptation should not be reported as representing the official views oftheOECD or of its Member countries. Third-party material–the licence does not apply to third-party material in the work. If using such material, you are responsible forobtaining permission from the third-party and for any claims of infringement. You must not use the OECD logo, visual identity or cover image without express permission or suggest the OECD endorses youruse of the work.Any dispute arising under this licence shall be settled by arbitration in accordance with the Permanent Court ofArbitration (PCA) Arbitration Rules 2012. The seat of arbitration shall be Paris (France). The number of arbitrators shall beone Abstract Artificial intelligence (AI)holds significant promise for enhancing businessproductivity and innovation, including among small and medium-sizedenterprises (SMEs). Despite recent technological advancements in AI tools,adoption of AI by SMEsremains relatively low compared to other digitaltechnologies and to larger firms. Canada’s 2025 G7 Presidency has madeaccelerating AI adoption by SMEs a key priority. This discussion paper,prepared by the OECD Secretariat at the request of the G7 Presidency,seeks to inform G7 discussions on a proposed Blueprint for SME AIAdoption.Itexamines recent evidence on AI diffusion across G7economies, highlighting large and persistent gaps between SMEs and largefirms. It introduces a taxonomy of SME AI adopters based on digitalmaturity, complexity of use, and scope of application, with a view tosupporting policy design. Drawing on case studies from G7 countries, thepaper illustrates diverse adoption pathways and identifies key enablers–connectivity; AI-enabling inputs; skills; and finance–that are prerequisitesfor SMEs to successfully adopt AI. The findings underscore the need forgovernments to support strategies that can accelerate AI uptake amongSMEs and promote digital transformation that benefits all. The papercontributes to ongoingG7 and OECD efforts to foster innovative,trustworthy, and productivity-enhancing AI diffusion in line with the OECDAI Principles. Acknowledgments The authors thankJerry Sheehan,Nadim Ahmad,Audrey Plonk,Lucia Cusmano,Guy Lalanne,KarinePerset,Glenda Quintini,Andrew Paterson,Raffaella Centurelli,Gallia Daor,Alexia Gonzalez FanfaloneandLucia Russofor their support throughout this project and for their insightful feedback.Valuablemethodological guidance was provided by Molly Lesher and Nils Adriansson.Theauthorsare grateful tocomments and suggestions received byG7delegateswithin theIndustry,Digital andTechnologyWorkingGroupunder the2025CanadianG7Presidency.Special thanks go totheteam atInnovation, Science andEconomicDevelopmentCanada(ISED),whose initiative,valuable insights,and steadfast support,including theirvolun