全民AI：劳动力技能提升政策工具包

AI for AllWorkforce Skilling Policy Toolkit Published February 2026 CONTENT 1.Introduction3 2.Pillar 1: Identify the skills needed for AI12 3Pillar 2: Assess gaps in skilling ecosystems28 Pillar 3: Develop and implement aworkforce skilling roadmap38 5.Pillar 4: Monitor and evaluate progress52 6Case Studies59 . Authored by Access Partnership is the expert global advisory firm acceleratinginnovation through strategy, analysis, public affairs, andcommunications. We work with businesses, governments, andmultilateral institutions to unlock new markets, drive commercialsuccess, and create solutions that advance humanity. Wecombine on‑the‑ground expertise across every region with deepspecialism, letting us go beyond conventional consulting todesign and execute bold, end‑to‑end strategies that help ourclients scale and deliver meaningful impact for society.For more information about Access Partnership, please visit ourwebsite. AVPN is the largest network of social investors in Asia,comprising over 600 funders and resource providers across 33markets. Our mission is to increase the flow and effectiveness offinancial, human, and intellectual capital in Asia by enablingmembers to channel resources towards impact. As an ecosystembuilder, AVPN enables its members to connect, learn, act, andlead across key pillars and improve the effectiveness of deployedcapital, bringing local field needs, regional expertise, and policyinsights to the forefront. For more information about AVPN and our work, please visit ourwebsite and read our latest Annual Review 2024/25. About the Toolkit The toolkit identifies critical policy principles and practical guidance for policymakers and keystakeholders to strengthen AI learning systems and employability across the Asia-Pacific region.Mapped across four pillars, the framework underpinning this toolkit guides policymakers indefining, classifying, and identifying the skills needed for AI; assess existing gaps in skillingecosystems; designing and implementing an actionable workforce skilling roadmap; and monitorand evaluate progress of its skilling initiatives. Progression pathways have also been developed foreach pillar, prompting policymakers to assess their relative stage of progress while identifying nextsteps to scale and sustain effective and targeted AI skilling initiatives. The report concludes byapplying this framework to three countries in the case study section, illustrating how designprinciples can be translated into policy action for effective AI skilling. Information is current as of 31 December 2025, unless otherwise stated Acknowledgements Contributing Organisations Authors MicrosoftNational University of SingaporeOrganisation for EconomicCooperation and Development(OECD)Sasin School of ManagementTech for Good InstituteUniversity of MelbourneUniversity of New South Wales Tristan Ace, Chief Engagement Officer, AVPNEvelyn Wong, Policy Director, AVPNGayathri Haridas, Associate Director, AccessPartnershipLennon Goh, Consultant, Access PartnershipYu Jing Kew, Consultant, Access Partnership AI Asia Pacific InstituteCourseraDigital Asia HubFuture Work GroupH&M GroupICDL ThailandIves Tay & CoJoint Foreign Chambers of Commerce,Thailand ExecutiveSummary Introduction The advent of AI has brought about significant benefits across governments,industries, and individuals.The deployment and integration of AI into existingworkstreams can transform daily operations of individuals, while driving productivity gainsacross the public and private sector. These benefits can only be realised if individuals are empowered to capture the AIopportunity.To effectively adopt AI, individuals must be equipped with the skills to (i) useAI ethically, responsibly, and sustainably; (ii) mitigate AI-associated risks; and (iii) engageeffectively with AI systems. Forward-looking policy frameworks are critical in fostering an enabling environmentfor the development of skills needed for AI.In support of the AVPN AI OpportunityFund, the AI for All Workforce Skilling Policy Toolkit aims to foster collaboration and sharebest practices among policymakers and key stakeholders towards improving AI learningoutcomes and employability. AI For All Workforce Skilling Policy Toolkit The AI for All Workforce Skilling Policy Toolkit aims to equip policymakers and key stakeholders with critical policyprinciples and practical guidance to strengthen AI learning systems and employability across the Asia-Pacific region.The tool is built around two complementary building blocks: Provides a structured policy framework through four pillars to guide thedesign and developmentof national and sectoral skilling initiatives acrossthe APAC region a) AI for All Workforce SkillingPolicy Framework Showcases practical examples that reflect the identified policy actions,serving as a resource for governments and key stakeholders to guide theimplementationof AI skilling programs b) AI for All Workforce SkillingCase Studies