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Back to datasetsKey Variables Workforce composition; hiring and attrition flows; skills; job postings; salary data; company headcount trends AI/Tech Tracking Tracks AI-related skills on worker profiles; AI talent flows between firms; hiring patterns for AI roles Access Details Commercial data provider; academic partnerships available Notes Aggregates data from public online profiles, job postings, and other sources; academic access available through Wharton WRDS and project-specific licensing; used in numerous academic papers studying AI labor market effects including firm-level AI hiring and workforce restructuring
Revelio Labs
Revelio Labs Workforce Intelligence Data
Labor outcomesRestrictedBoth
Visit Dataset- Specific Type
- Other supplemental data
- Dataset Type
- True panel/Longitudinal
- Institution
- Revelio Labs
- Institution Type
- Private Data Provider
- Level of Focus
- Occupation; Firm; Individual
- Most Granular Level
- Individual worker profile level
- Perspective
- Both
- Time Coverage
- 2008-present
- Frequency
- Continuous; updated monthly
- Sample Size
- 1.1 billion+ professional profiles globally; 100+ million US profiles
- Geographic Detail
- Global; country; metro area
- Occupational Classification
- Revelio standardized titles; mappable to SOC
- Industrial Classification
- NAICS; SIC
- Other Classification
- Revelio Skills taxonomy
Key Papers
Generative AI and Firm Values
Eisfeldt, Schubert, Zhang (2023)
Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Resume and Job Posting Data
Lichtinger, Maasoum (2025)
AI and the Extended Workday: Productivity, Contracting Efficiency, and Distribution of Rents
Jiang, Park, Xiao, Zhang (2025)
AI, Automation, and Expertise
Teeselink, Carey (2026)
Eisfeldt et al. (2023); Lichtinger & Maasoum (2025); Jiang et al. (2025); Teeselink & Carey (2026); Widely used in AI labor market research (e.g., Babina et al., 2024)