This bibliography is shared by the paper, technical data note and methodological pages.
- Anthropic. (2026). Anthropic Economic Index report: Cadences. 26 June.
- Anthropic. (2026). EconomicIndex dataset, revision
2ea58ff75e4247d26810c37f10c179edc2466cac. - Anthropic. (2026). Labor market impacts of AI: A new measure and early evidence.
- Appel, R., McCrory, P., Tamkin, A., McCain, M., Neylon, T., & Stern, M. (2025). Anthropic Economic Index report: Uneven geographic and enterprise AI adoption. arXiv:2511.15080.
- Bank Underground. (2026). Canaries in the column: AI exposure and the UK's hiring slowdown. 6 August.
- Bick, A., Blandin, A., & Deming, D. J. (2024; revised 2025). The Rapid Adoption of Generative AI. NBER Working Paper 32966.
- Brynjolfsson, E., Li, D., & Raymond, L. (2025). Generative AI at Work. Quarterly Journal of Economics, 140(2), 889–942.
- Centre for British Progress. (2026). AI and the UK labour market: the evidence so far.
- Chatterji, A., Cunningham, T., Deming, D. J., Hitzig, Z., Ong, C., Shan, C. Y., & Wadman, K. (2025). How People Use ChatGPT. NBER Working Paper 34255.
- Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. arXiv:2303.10130.
- European Commission. Crosswalk between ESCO and ONET*.
- Eurostat. EU Labour Force Survey employment by occupation (lfsa_egai2d) and Structure of Earnings Survey 2022.
- Fan, R. Y., & Nguyen, H. M. (2026). Aggregate Gains from AI and Their Distribution: Global Evidence from Usage Data. IMF Working Paper 2026/147.
- Felten, E., Raj, M., & Seamans, R. (2021). Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses. Strategic Management Journal.
- Felten, E., Raj, M., & Seamans, R. (2023). How will Language Modelers like ChatGPT Affect Occupations and Industries?. arXiv:2303.01157.
- Handa, K., et al. (2025). Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations. arXiv:2503.04761.
- Humlum, A., & Vestergaard, E. (2025). Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI. NBER Working Paper 33777.
- International Labour Organization. (2025). Generative AI and Jobs: A Refined Global Index of Occupational Exposure. ILO Working Paper 140.
- ILOSTAT. Annual employment by sex and occupation, bulk dissemination facility.
- OECD. Survey of Adult Skills (PIAAC), Cycle 2 database.
- OECD. The OECD AI exposure measure.
- Office for National Statistics. SOC2020 Volume 2: coding rules and conventions.
- O*NET Resource Center. ONET Database 30.2 and archived releases*.
- Steele, J. L., & Cruz, I. (2026). Helping People Choose Careers in the Age of AI. arXiv:2607.15506.
- Tomlinson, K., Jaffe, S., Wang, W., Counts, S., & Suri, S. (2025). Working with AI: Measuring the Applicability of Generative AI to Occupations. arXiv:2507.07935.
- US Bureau of Labor Statistics. Employment Projections Data Definitions.
- US Bureau of Labor Statistics. (2026). Table 1.2: Occupational projections, 2025–35, and worker characteristics, 2025.