The OECD has developed the new OECD AI Exposure Measure to assess how closely current AI capabilities match the requirements of different occupations. Built by mapping the OECD AI Capability Indicators to occupational requirements, the measure uses an AI Capability Gap index across nine cognitive, social and physical domains. Lower gaps indicate that AI systems are closer to the capability profile needed for an occupation, suggesting higher potential exposure to AI. The measure offers a transparent, forward-looking and updateable way to explore how AI may transform tasks, skill demand and labour-market outcomes, while recognising that real-world impacts will depend on adoption, regulation, organisational change and social choices.
Artificial Intelligence and the Future of Skills
Artificial Intelligence (AI) and robotics are becoming increasingly sophisticated at replicating human skills. The evolution of these technologies could fundamentally transform work over coming decades and deeply affect education's current role in developing skills and preparing learners for future work.
OECD AI Capability Indicators
The new OECD AI Exposure Measure
About
The Artificial Intelligence and the Future of Skills CERI work aims to help policy makers understand how artificial intelligence (AI) and robotics are likely to affect work and how education should change in anticipation.
The project addresses the following questions:
- What human capabilities will be too difficult for AI and robotics to reproduce over the next few decades?
- What education and training will be needed to allow most people to develop capabilities that are beyond the capabilities of AI and robotics?
Objective
- Assessing the current capabilities of AI and robotics to carry out human tasks.
- Identifying the implications of AI and robotics for education systems.
- Designing an ongoing programme to monitor AI and robotics advances and describe their changing implications for education and work.
Publications
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26 May 202660 Pages
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Working paper
Emerging implications and a case study on writing
21 November 202549 Pages -
14 November 2025243 Pages
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23 May 202514 Pages
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Working paper
How does the performance of GPT and 15-year‑old students in PISA compare?
15 July 20238 Pages -
27 October 2017108 Pages
Conference presentations
Project presentation, January 2024
IJCAI Evaluation Beyond Metrics Workshop, 2022
International Conference on Artificial Intelligence in Work, Innovation, Productivity and Skills (AI-WIPS)
2023:
2022:
2021:
Contacts
Meet the team
- Stuart Elliott, Project Manager, Senior Analyst
- Abel Baret, Analyst
- Shivi Chandra, Analyst
- Margarita Kalamova, Analyst
- Aurelija Masiulyté, Project Assistant
- Kristin Ehlert, Project Assistant
- Sam Mitchell, Analyst
- Zina Effachary, Analyst
- Nóra Révai, Analyst
For queries or more information, please contact the team: futureofskills@oecd.org