O*NET
Occupational Information Network
- Specific Type
- Skills, activities or tasks data
- Dataset Type
- Cross-sectional
- Institution
- Department of Labor (ETA)
- Institution Type
- Federal government
- Level of Focus
- Occupation
- Most Granular Level
- 6-digit O*NET-SOC occupation level
- Perspective
- Both
- Time Coverage
- 2001-present
- Frequency
- Annual database updates
- Sample Size
- ~225,000 job incumbents; ~10,000 experts since 2001
- Geographic Detail
- National
- Occupational Classification
- 8-digit O*NET-SOC
- Industrial Classification
- Not found
- Other Classification
- Task-level detailed work activities (DWAs)
Key Papers
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Eloundou, Manning, Mishkin, Rock (2023)
The Impact of Artificial Intelligence on the Labor Market
Webb (2019)
What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
Brynjolfsson, Mitchell, Rock (2018)
Occupational, Industry, and Geographic Exposure to Artificial Intelligence: A Novel Dataset and Its Potential Uses
Felten, Raj, Seamans (2021)
Artificial Intelligence and Jobs: Evidence from Online Vacancies
Acemoglu, Autor, Hazell, Restrepo (2020)
Skill Requirements across Firms and Labor Markets
Deming, Kahn (2017)
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, Autor (2011)
The Future of Employment: How Susceptible are Jobs to Computerisation?
Frey, Osborne (2016)
Task-Based Automation: Implications for Wages and Inequality
Hubmer (2023)
Tasks, Automation, and the Rise in US Wage Inequality
Acemoglu, Restrepo (2021)
Applying AI to Rebuild Middle Class Jobs
Autor (2024)
New Frontiers: The Origins and Content of New Work, 1940-2018
Autor, Chin, Salomons, Seegmiller (2022)
Gen-AI: Artificial Intelligence and the Future of Work
Cazzaniga, Jaumotte, Li, Melina, Panton, Pizzinelli, Rockall, Tavares (2024)
Generative AI and Jobs: A Global Analysis of Potential Effects on Job Quantity and Quality
Gmyrek, Berg, Bescond (2023)
Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Resume and Job Posting Data
Lichtinger, Maasoum (2025)
How People Use ChatGPT
Chatterji, Cunningham, Deming, Hitzig, Ong, Shan, Wadman (2025)
The Unequal Adoption of ChatGPT Exacerbates Existing Inequalities Among Workers
Humlum, Vestergaard (2024)
Tasks At Work: Comparative Advantage, Technology and Labor Demand
Acemoglu, Kong, Restrepo (2024)
Expertise
Autor, Thompson (2025)
Who Is Using AI to Code? Global Diffusion and Impact of Generative AI
Daniotti, Wachs, Feng, Neffke (2026)
How Are Patented AI, Software and Robot Technologies Related to Wage Changes in the United States?
Fossen, Samaan, Sorgner (2022)
Mapping the Future of Occupations: Transformative and Destructive Effects of New Digital Technologies on Jobs
Fossen, Sorgner (2019)
Technology and Labor Displacement: Evidence from Linking Patents with Worker-Level Data
Kogan, Papanikolaou, Schmidt, Seegmiller (2023)
'Generate' the Future of Work through AI: Empirical Evidence from Online Labor Markets
Liu, Xu, Li, Tan (2023)
Labour Market Exposure to AI: Cross-Country Differences and Distributional Implications
Pizzinelli (2023)
The Potential Impact of AI Innovations on U.S. Occupations
Septiandri, Constantinides, Quercia (2024)
AI-Exposed Jobs Deteriorated Before ChatGPT
Frank, Sabet, Simon, Bana, Yu (2026)
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Patwardhan, Dias, Proehl, Kim, Wang, Watkins, Posada Fishman, Aljubeh, Thacker, Fauconnet, Kim, Chao, Miserendino, Chabot, Li, Sharman, Barr, Glaese, Tworek (2025)
The AI Productivity Index (APEX)
Vidgen, Thrush, Hale, Madnani, Awal, Majumder, Luger, Baines, Klyman, Saifullah, Kirk (2025)
Anthropic Economic Index Report: Economic Primitives
Appel, Massenkoff, McCrory, McCain, Heller, Neylon, Tamkin (2026)
How Adaptable Are American Workers to AI-Induced Job Displacement?
Manning, Aguirre (2026)
AI and Jobs: A Review of Theory, Estimates, and Evidence
del Rio-Chanona, Ernst, Merola, Samaan, Teutloff (2025)
Eloundou et al. (2023); Webb (2019); Brynjolfsson et al. (2018); Felten et al. (2021); Acemoglu et al. (2020); Deming & Kahn (2017); Acemoglu & Autor (2011); Frey & Osborne (2016); Hubmer (2023); Acemoglu & Restrepo (2021); Autor (2024); Autor et al. (2022); Cazzaniga et al. (2024); Gmyrek et al. (2023); Lichtinger & Maasoum (2025); Chatterji et al. (2025); Humlum & Vestergaard (2024); Acemoglu et al. (2024); Autor & Thompson (2025); Daniotti et al. (2026); Fossen et al. (2022); Fossen & Sorgner (2019); Kogan et al. (2023); Liu et al. (2023); Pizzinelli (2023); Septiandri et al. (2024); Frank et al. (2026); Patwardhan et al. (2025); Vidgen et al. (2025); Appel et al. (2026); Manning & Aguirre (2026); del Rio-Chanona et al. (2025)