
Why the next AI data race will be for human expertise and knowledge
The next AI data race: expert judgement, difficult examples and institutional feedback are becoming valuable inputs for specialized corporate AI tools.
Reese Wong is an AI strategy and policy professional, social entrepreneur and institution-builder working on how emerging technologies are reshaping work, organisations and human agency.
He is a World Economic Forum Global Shaper, Future26 Fellow in Technology, Media and Communications, and Agenda Contributor, writing on workplace AI, human connection and emerging AI capabilities. He previously served as Curator of the Global Shapers London II Hub and represented the Community at the Forum’s 2026 Annual Meeting of the New Champions.
Reese currently works in Strategy and Consulting at Accenture, focusing on AI adoption and public-sector strategy. Previously, he worked on technology and AI policy at the U.S. Department of State and UK government, including research supporting UK’s AI Opportunities Action Plan.
He is one of 12 members of UN Human Rights’ inaugural Youth4Rights Advisory Group, contributing an emerging-technology perspective to youth participation, agency and rights.
In 2019, Reese founded ISSIA, one of Hong Kong’s largest youth-led nonprofits, scaling it to 500+ volunteers across 80+ schools and 30+ initiatives reaching more than 30,000 people. He later founded Potentia, focused on expanding opportunity for emerging talent.
Reese is a 2024 Diana Award recipient and Aspen UK Rising Leaders Fellow. Represented by London Speaker Bureau, he has delivered 150+ talks across universities, conferences and global forums.
He holds a BSc in International Relations from the London School of Economics.
The next AI data race: expert judgement, difficult examples and institutional feedback are becoming valuable inputs for specialized corporate AI tools.
个人AI工具虽能节省个人时间,但未必能改变更广泛的工作流程。孤立的聊天窗口会将关键背景信息、假设以及潜在的不确定性隔绝在同事视线之外。高绩效团队必须走出AI“单人模式”,过渡到共享的协作环境。
Generative AI started as an individual tool. Discover why organizations must move from single-player chats to shared, collaborative workflows.
World models help AI predict how an environment may change in response to an action but each part of the system must be tested against real-world outcomes.
As AI lowers the cost of creating content, code and analysis, could human connection and trusted relationships become important sources of economic value?



