AI & the Labor Market · United States

105 occupations. AI exposure. 2030 forecast.

Every major US occupation scored on AI exposure using the JPE methodology. Career advice. Free. Open data. Same method as the NL, UK, Germany and France map.

105occupations
98Mjobs covered (BLS EP 2025)
4.8avg. JPE
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US Career Scan105 occupations
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NL Career Scan103 occupations
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DE Berufsscan98 occupations
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UK Career Scan106 occupations
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FR Career ScanFrance
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AI Readiness ScanTeams & organizations
AI Exposure Map

105 occupations at a glance

Tile size represents employment. The larger the tile, the more people affected. Click an occupation for a detailed analysis.

Sources: jobs from BLS Employment Projections, 2025 (incl. self-employed) · salaries from OEWS May 2025 · growth 2021-2025 from OEWS · forecast base BLS Employment Projections 2025-35, plus AI and robotics layers (JPE-prognose v3) · BLS already builds AI and automation effects into its projection for some occupations; where it does, no separate layer is added on top · AI score: JPE, with Felten, Raj & Seamans AIOE as reference · SOC 2018 · CC BY 4.0 · Methodology

97.8MJobs covered
4.8Avg. AI score
24%Score ≥ 7
105Occupations
$76KAvg. salary
Colour:
Low 0–3
Moderate 4–6
High 7–8
Very high 9–10
Area = jobs

Click a tile to open the full analysis · hover for a preview

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Ranking

Gainers and decliners 2030

The ten occupations with the weakest and the ten with the strongest expected change to 2030 (midpoint of the forecast band). The band per occupation is on its own page and matters more than the midpoint.

Strongest decline

Strongest growth

Sectors

Explore by sector

105 occupations across 22 sectors. Sorted by average AI score.

IT & Computing8.3(4)Business & Finance8(3)Office & Admin7.3(7)Legal6.7(3)Arts & Media6.6(5)Management6.3(8)Engineering5.9(7)Sales5.6(5)Education5.5(6)Science5.2(5)Healthcare4.5(10)Healthcare Support4(2)Social Services4(4)Production3.7(6)Transportation3.3(6)Security3.3(3)Repair & Maintenance3(4)Food Service2.8(4)Personal Care2.8(4)Construction2.6(5)Maintenance2(2)Agriculture2(2)
Research

Go deeper

US methodologyBLS SOC 2018, Felten AIOE normalization, and the 2030 forecast on BLS Employment Projections.Five countries comparedSame methodology, different labor markets. Dampening, AI pressure, structural factors.Patterns in the dataSector risk, the developer paradox, part-time analysis.Methodology (NL/general)JPE scoring rubric, forecast model, Felten AIOE validation (r = 0.87).Data and downloadsCSV download, embed codes, citation, CC BY 4.0 license.Will AI take my job?The short answer, the nuanced answer, and what you should actually do.
International

Also available for NL, UK, Germany and France

Same JPE methodology, different labor markets. Compare how AI lands differently across five countries.

🇳🇱Netherlands

103 occupations · 5.8M jobs · avg. JPE 5.0

🇬🇧United Kingdom

106 occupations · 33.7M jobs · avg. JPE 4.8

🇩🇪Germany

98 occupations · 45.9M jobs · avg. JPE 5.0

🇫🇷France

100 occupations · 28M jobs · avg. JPE 4.9

Full international comparison →
Open data

Download everything

All datasets free under CC BY 4.0. Download, embed, or access via API.

🇺🇸 US Dataset🇳🇱 NL Dataset🇬🇧 UK Dataset🇩🇪 DE Dataset🇫🇷 FR DatasetAPI endpoint

JPE = Janssen Practical Exposure. By Simon Janssen, CTO at HappyNurse.