AI-risk ranking

The 50 most at-risk occupations from AI

Ranked by O*NET-derived AI-exposure score, the roles with the highest share of tasks current or near-future AI systems can perform, with each one's projected job growth for context. 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.

The short version

Bookkeeping, accounting, and auditing clerks 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

# Occupation
1 Bookkeeping, accounting, and auditing clerks
2 Billing and posting clerks
3 Accountants and auditors
4 Office clerks, general
5 Executive secretaries and executive administrative assistants
6 Financial managers
7 Library assistants, clerical
8 Medical secretaries and administrative assistants
9 Word processors and typists
10 Tax examiners and collectors, and revenue agents
11 Payroll and timekeeping clerks
12 File clerks
13 Loan interviewers and clerks
14 Order clerks
15 Secretaries and administrative assistants, except legal, medical, and executive
16 Computer occupations, all other
17 Detectives and criminal investigators
18 Receptionists and information clerks
19 Correspondence clerks
20 Tax preparers
21 Procurement clerks
22 Compliance officers
23 Loan officers
24 Life, physical, and social science technicians, all other
25 Production, planning, and expediting clerks
26 Insurance claims and policy processing clerks
27 Medical transcriptionists
28 Court reporters and simultaneous captioners
29 Private detectives and investigators
30 Brokerage clerks
31 Court, municipal, and license clerks
32 Statistical assistants
33 Industrial engineers
34 Title examiners, abstractors, and searchers
35 Tellers
36 Interviewers, except eligibility and loan
37 Postal service clerks
38 Airline pilots, copilots, and flight engineers
39 Library technicians
40 Business operations specialists, all other
41 Statisticians
42 Medical records specialists
43 Data scientists
44 Forensic science technicians
45 Financial examiners
46 Survey researchers
47 Pharmacy technicians
48 Cashiers
49 Weighers, measurers, checkers, and samplers, recordkeeping
50 Office machine operators, except computer

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.