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Labor Department analysis identifies high-paying roles with low artificial intelligence exposure

A Bureau of Labor Statistics review classified 213 occupations as having limited overlap with current artificial intelligence capabilities.

Updated Sep 3, 2026 · 10:18 UTC1 reports

The short version

  • The Bureau of Labor Statistics analyzed 831 occupations and designated 213 as having low exposure to artificial intelligence models.
  • Twenty low-exposure professions had a median annual income of at least $75,000 in the past year, with multiple healthcare roles projected to add jobs over the next decade.
  • Agency analysts noted that high exposure does not inherently mean job losses, pointing to expected growth in heavily exposed positions like software developers.
  • Public skepticism remains elevated, with a Pew Research Center survey reporting that 71% of American adults expect AI to reduce overall jobs over the next two decades.

Key facts

  • The Bureau of Labor Statistics categorized 831 occupations according to their exposure to AI, finding 213 occupations with low relative exposure.[Business Insider]
  • Twenty occupations with low AI exposure recorded a median annual wage of at least $75,000 in the past year.[Business Insider]
  • Certain high-paying, low-exposure roles such as dental hygienists are forecast to grow from 2025 to 2035, while others, such as chemical plant and system operators, are projected to shrink.[Business Insider]
  • More than 100 occupations classified as very highly exposed to AI also offer high compensation and are projected to grow between 2025 and 2035, including financial managers and software developers.[Business Insider]
  • A survey by the Pew Research Center found 71% of U.S. adults believe AI will cause net job declines over the next 20 years, up from 64% two years prior.[Business Insider]

What remains uncertain

  • The Bureau of Labor Statistics clarified that high or low AI exposure ratings do not directly forecast specific wage changes, productivity improvements, or automation-driven job losses.[Business Insider]

Sources