Credits & Data Sources
AI Changing Work draws on publicly available research, open classification standards, and open-source technologies. This page credits the references and tools behind the site. The AI exposure figures published here are reproduced without modification from the datasets listed below, and the employment, wage and projection figures are transcribed from U.S. Bureau of Labor Statistics Employment Projections. AI Changing Work performs the mapping onto O*NET occupation and task codes and calculates no exposure score of its own.
Data Sources
Source of the occupational classification taxonomy — the codes and titles used to organize the occupations listed here, and the task and occupation codes the external exposure datasets are mapped onto.
CC BY 4.0Source of the employment, wage and projected-change figures shown on this site, transcribed from BLS Employment Projections 2024-34 at the SOC occupational-group level.
Public DomainSource of the observed exposure and task penetration figures shown on this site, reproduced without modification under CC BY 4.0.
Referenced for global AI adoption rates, investment data, and policy analysis.
Referenced for labor statistics across 38 countries and the AI Policy Observatory.
Referenced for global employment trends and the GenAI occupational exposure index.
Research & Publications
Key institutions whose research is cited in our blog content and analysis:
- Brookings Institution — AI labor market meta-analyses
- Dallas Federal Reserve — AI employment and wage data
- PwC — AI Jobs Barometer
- Economic Innovation Group (EIG) — AI jobs counterarguments
- Yale Budget Lab — CPS labor market exposure analysis
- NBER — AI adoption and employment studies
Technology
Open-source technologies used to build this site:
| Project | Role | License |
|---|---|---|
| Next.js | React framework | MIT License |
| PostgreSQL | Database | PostgreSQL License |
| Tailwind CSS | Styling | MIT License |
| shadcn/ui | UI components | MIT License |
| Recharts | Data visualization | MIT License |
| next-intl | Internationalization | MIT License |
| Lucide | Icons | ISC License |
AI Tools
Data analysis, content generation, and translations are performed with the assistance of Anthropic Claude.
Open Data Licenses
We comply with the following data-use terms:
- O*NET data is used under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
- BLS data is in the U.S. Government Public Domain.
- OECD data is used in accordance with the OECD Terms and Conditions. View terms
- Occupational classification vocabulary comes from five sources: ILO ISCO-08 (CC BY 4.0); ESCO v1.2.1, European Commission DG EMPL (CC BY 4.0, EU Reuse Notice); O*NET 30.2, U.S. DOL/ETA (CC BY 4.0); the KSCO 8th–ISCO-08 Correspondence Table published by the Korea Data Agency under KOGL Type 3 (Attribution – No Derivatives), quoted verbatim; and BSCO-2020 by the Bangladesh Bureau of Statistics (BBS), reproduced without modification under no open licence and not endorsed by BBS or the ILO. To request removal of any of this material, contact us. Request removal
- Anthropic Economic Index (labor_market_impacts) is used under CC BY 4.0. Attribution: Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex View terms
- AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- The OpenAI "GPTs are GPTs" exposure rubric is used under the MIT License, Copyright (c) 2024 OpenAI. View terms
- U.S. Bureau of Labor Statistics Employment Projections 2024-34 are a work of the U.S. federal government and are in the public domain (17 U.S.C. 105).