High pay and growing - the best of both
Occupations that combine a high median wage with positive projected employment growth through 2034, the roles with both pay and momentum, plus their AI exposure. According to U.S. Bureau of Labor Statistics Employment Projections 2024–2034 (wages as of May 2024), across 832 tracked occupations. See our methodology for how AI-exposure scores are computed.
Family medicine physicians tops this ranking. The full list below pairs each occupation with its AI-exposure score, so you can read the pay, growth and size of US work alongside how automatable it is, all from the same federal dataset.
The full ranking
Source: BLS Employment Projections 2024–2034 (employment, growth, wages); O*NET task data for AI-exposure analysis by PlainWorkforce. Ranked across 832 occupations.
How this ranking is built
Employment, projected growth and median-wage figures come directly from the U.S. Bureau of Labor Statistics Employment Projections 2024–2034 and Occupational Employment Statistics. AI-exposure scores are PlainWorkforce's analysis of O*NET 30.0 task data, estimating the share of each occupation's tasks susceptible to current automation. Pairing the two lets you see not just where the jobs, pay or decline are, but how exposed each role is to AI. You can verify the underlying projections with BLS →.
Caveats and limitations
BLS projections are model-based and carry their own uncertainty intervals; they predate the most recent macroeconomic shifts. Percentage changes can look dramatic for small occupations, always check absolute employment on each occupation page. AI-exposure scores estimate current task automatability and may shift as capabilities advance.
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Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.