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Employment Scenario Combined with AI Exposure to Calculate Job Risk

Comprehensive analysis of AI's impact on employment across the United States

30,892+ Records 50 US States 737 Job Titles 22 Career Groups

AI Exposure Analysis

Analyze employment data by AI exposure levels across multiple states. Filter by automation risk (0.0-1.0) and compare occupational groups.

Explore AI Exposure

Minnesota Deep Dive

Comprehensive state-level analysis of Minnesota's job market. View detailed AI exposure distribution and specific job titles.

Explore Minnesota

About the Data

Employment & Wage Data

Employment and wage statistics are sourced from the Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) program.

  • Source: U.S. Bureau of Labor Statistics
  • Dataset: Occupational Employment and Wage Statistics (OEWS)
  • Coverage: All 50 U.S. states and 737 detailed occupations
  • Metrics: Employment totals, annual wages, hourly wages
  • Last Updated: 2026 Q3
AI Exposure Scores

AI exposure scores measure the potential for occupation-level automation based on recent research analyzing task-level exposure to artificial intelligence capabilities.

  • Primary Source: 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." OpenAI and University of Pennsylvania.
  • Supporting Research: Felten, E., Raj, M., & Seamans, R. (2021). "Occupational Heterogeneity in Exposure to Generative AI"
  • Methodology: Task-level analysis of 1,016 occupations
  • Scale: 0.00 (no AI exposure) to 1.00 (maximum AI exposure)
  • Interpretation: Higher scores indicate greater potential for AI to perform tasks within that occupation
Note: AI exposure scores represent the potential for automation, not predictions of job loss. Many jobs with high AI exposure will be transformed rather than eliminated, with workers collaborating alongside AI tools.
For Researchers

This dashboard combines authoritative government employment data with peer-reviewed academic research on AI capabilities to provide data-driven insights for career planning and workforce development.

For Students & Career Counselors

Use these tools to understand which careers may be most affected by AI automation, helping inform educational and career decisions in an AI-transformed economy.