AI & the Labor Market · United States

106 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.

106occupations

91M+jobs covered

4.8avg. JPE

Check your occupation

How does your occupation score?

Type your job title and get your AI score, 2030 forecast and career advice. Free. No signup.

US Career Scan106 occupations

NL Career Scan103 occupations

DE Berufsscan98 occupations

UK Career Scan106 occupations

FR Career ScanFrance

AI Readiness ScanTeams & organizations

AI Exposure Map

106 occupations at a glance

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

Sources: BLS OEWS May 2024 · Felten, Raj & Seamans AIOE · SOC 2018 · CC BY 4.0

90.7MJobs covered

4.8Avg. AI score

24%Score ≥ 7

106Occupations

$73KAvg. 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

Loading map...

What does AI mean for your occupation? Take the US Career Scan and receive a personal report with 2030 forecast, career advice and development tips.

🇺🇸 Take the US Career Scan Insights and trends

Ranking

Gainers and decliners 2030

The ten occupations with the strongest projected decline — and the ten with the strongest growth.

Strongest decline

Secretaries and Administrative Assistants-8%Legal Secretaries and Administrative Assistants-8%Cashiers-6%Office Clerks, General-6%Customer Service Representatives-5%Bookkeeping, Accounting, and Auditing Clerks-5%Editors-5%Graphic Designers-4%First-Line Supervisors of Office and Administrative Support Workers-3%Photographers-3%

Strongest growth

Medical and Health Services Managers+9%Home Health and Personal Care Aides+7%Data Scientists+7%Mental Health Counselors+7%Veterinary Technologists and Technicians+7%Substance Abuse, Behavioral Disorder, and Mental Health Counselors+6%Veterinarians+6%Community Health Workers+5%Physical Therapists+5%Industrial Machinery Mechanics+5%

Sectors

Explore by sector

106 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(5)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, US-specific forecast parameters.Five countries comparedSame methodology, different labor markets. Dampening, AI pressure, structural factors.Patterns in the dataTop gainers and decliners, sector 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 Dataset API endpoint

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