Lightcast (formerly Burning Glass)
Lightcast Job Postings Analytics (formerly Burning Glass Technologies)
- Specific Type
- Job posting data
- Dataset Type
- Repeated cross-sectional
- Institution
- Lightcast
- Institution Type
- Private Data Provider
- Level of Focus
- Job posting
- Most Granular Level
- 6-digit SOC occupation level; ZIP code level
- Perspective
- Firm-side
- Time Coverage
- 2007-present
- Frequency
- Real-time
- Sample Size
- Over 2.5 billion job postings from 160,000+ sources
- Geographic Detail
- ZIP code level
- Occupational Classification
- 6-digit SOC codes
- Industrial Classification
- 4-digit NAICS
- Other Classification
- Geographic (ZIP, county, CZ); Skill clusters
Key Papers
The Impact of Artificial Intelligence on the Labor Market
Webb (2019)
Artificial Intelligence and Jobs: Evidence from Online Vacancies
Acemoglu, Autor, Hazell, Restrepo (2020)
Skill Requirements across Firms and Labor Markets
Deming, Kahn (2017)
Do Recessions Accelerate Routine-Biased Technological Change?
Hershbein, Kahn (2016)
The Diffusion of Disruptive Technologies
Bloom, Hassan, Kalyani, Lerner, Tahoun (2025)
Generative AI and Firm Values
Eisfeldt, Schubert, Zhang (2023)
Artificial Intelligence, Firm Growth, and Product Innovation
Babina, Fedyk, He, Hodson (2023)
Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Resume and Job Posting Data
Lichtinger, Maasoum (2025)
Earnings Dynamics, Changing Job Skills, and STEM Careers
Deming, Noray (2020)
Displacement or Complementarity? The Labor Market Impact of Generative AI
Chen, Srinivasan, Zakerinia (2025)
Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
Liu, Wang, Yu (2025)
Webb (2019); Acemoglu et al. (2020); Deming & Kahn (2017); Hershbein & Kahn (2016); Bloom et al. (2025); Eisfeldt et al. (2023); Babina et al. (2023); Lichtinger & Maasoum (2025); Deming & Noray (2020); Chen et al. (2025); Liu et al. (2025); Azar et al. (2020)