Labor Market Exposure Report 2026

Safe
Exposed

Impact Distribution

Risk by Income Bracket

Risk by Education Level

Key Takeaways for 2026

  • High-Risk Roles (8-10): Highly structured cognitive jobs like AI Researchers, ML Engineers, Data Scientists, and Writers face the highest impact.
  • Low-Risk Roles (0-2): Physical, manual labor roles like Roofers, Masons, Carpenters, and Janitors remain the safest.
  • The Education Paradox: Occupations requiring a Bachelor's degree or higher average an exposure score of 6.2, paradoxically higher than jobs requiring High School or less (3.1).
  • Sector Disparity: The Technology sector averages the highest exposure (7.2), while the Service & Construction sectors average the lowest (2.8).

Methodology & Data Sources

The AI Exposure Score (0-10) represents the task-overlap between occupational duties and projected Large Language Model (LLM) capabilities.

Task definitions are sourced from O*NET 27.3. Employment totals and median wage data are based on the U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) projected for 2026.

Analysis is weighted by sector-specific mean risk factors to ensure accurate labor market representation.

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