AI Job Risk Index
How exposed each occupation is to generative AI, measured from public research data and shown next to official US job projections.
The AI Job Risk Index combines four public datasets on what AI can do and what it is already used for, and sets each occupation's result beside US Bureau of Labor Statistics projections. Every number is sourced.
An editorial data publication that turns public research and official statistics into readable occupation pages. We calculate the exposure index ourselves from published datasets and write every guide by hand; no figure on this site is generated by an AI model.
Explore & check your risk
AI Job Risk Checker
Pick your job, answer 4 quick questions about your tasks, and see how your work compares with the occupation's generative-AI exposure from public data.
Check my personalized risk →Compare Two Jobs' AI Risk Side by Side
Compare two occupations side by side: generative-AI exposure from public data, its components, the BLS category, projected US jobs and median wage.
Compare Two Jobs' AI Risk Side by Side →Insights
Original analysis from our editorial team on how AI is reshaping work.
Insights →Latest insights
Why AI Changes Jobs Slower — and More Unevenly — Than the Headlines
The distance between what AI can do and what actually runs at work is wide. In 2026, that gap is where most careers are really being decided.
Read the article →"AI Will Create More Jobs Than It Destroys" Won't Necessarily Catch You
The headline number is net positive. But a net gain across the whole economy is not the same as a soft landing for any one person.
Read the article →A Practical Way to Read Your Own Job's AI Exposure
Exposure is not really about your job title. It is about the mix of tasks inside it — and that is something you can map yourself.
Read the article →Search your job
architect, teacher, programmer...
Jobs most at risk from AI
| Rank | Job | Generative-AI exposure | US BLS category | US jobs 2025–35 |
|---|---|---|---|---|
| 1 | Call Center Agent | 99 | Very high exposure | -5.3% |
| 2 | Customer Support | 99 | Very high exposure | -5.3% |
| 3 | Interpreter | 98 | Very high exposure | +2.0% |
| 4 | Translator | 98 | Very high exposure | +2.0% |
| 5 | Web Developer | 97 | Very high exposure | +3.8% |
| 6 | Technical Writer | 96 | Very high exposure | +0.8% |
| 7 | Programmer | 96 | Very high exposure | -7.3% |
| 8 | Content Writer | 95 | Very high exposure | -0.3% |
| 9 | Copywriter | 95 | Very high exposure | -0.3% |
| 10 | Data Analyst | 95 | Very high exposure | +34.6% |
Exposure runs from 0 to 100 and compares occupations with each other, using public datasets (see sources). It is not a probability that the job disappears. Methodology
Jobs safest from AI
| Rank | Job | Generative-AI exposure | US BLS category | US jobs 2025–35 |
|---|---|---|---|---|
| 188 | Housekeeper | 13 | Low exposure | +0.6% |
| 187 | Fisherman | 17 | Low exposure | -4.2% |
| 186 | Welder | 18 | Low exposure | +2.4% |
| 185 | Miner | 19 | Low exposure | -1.0% |
| 184 | Construction Worker | 19 | Low exposure | +7.3% |
| 183 | Carpenter | 19 | Low exposure | +3.9% |
| 182 | Elevator Technician | 22 | Low exposure | +5.7% |
| 181 | Aircraft Mechanic | 23 | Low exposure | +5.4% |
| 180 | Firefighter | 25 | Low exposure | +3.7% |
| 179 | Water Treatment Operator | 27 | Low exposure | -5.7% |
Highly exposed, still growing
Occupations with a high exposure index that the BLS still projects to grow in the US to 2035. Exposure changes the work; it does not decide the headcount.
- Data Analyst 95 · +34.6%
- Data Scientist 95 · +34.6%
- Machine Learning Engineer 80 · +21.8%
- Cybersecurity Analyst 87 · +21.0%
- Logistics Coordinator 79 · +17.6%
- Supply Chain Analyst 79 · +17.6%
- Industrial Engineer 74 · +12.4%
- Psychologist 75 · +11.7%
Highly exposed and shrinking
Occupations with a high exposure index that the BLS projects to shrink in the US to 2035. BLS cites automation and AI among the reasons for several of them.
- Data Entry Clerk 93 · -25.5%
- Telemarketer 93 · -21.4%
- Bank Teller 73 · -13.2%
- Programmer 96 · -7.3%
- Retail Cashier 75 · -6.5%
- Administrative Assistant 91 · -6.0%
- Office Clerk 89 · -6.0%
- Journalist 93 · -5.9%
Industries most exposed to AI
| Rank | Industry | Industry average exposure | Jobs Analyzed |
|---|---|---|---|
| 1 | Marketing | 93.1 | 12 |
| 2 | Media | 91 | 6 |
| 3 | Operations | 89 | 3 |
| 4 | Technology | 86.9 | 21 |
| 5 | Finance | 82.6 | 13 |
| 6 | Creative | 79 | 8 |
| 7 | Retail | 77.2 | 2 |
| 8 | Science | 76 | 9 |
| 9 | Consulting | 72.5 | 11 |
| 10 | Real Estate | 72.3 | 3 |
Methodology
The index averages two views of each occupation: how many of its tasks generative AI could perform (task analyses by Eloundou et al. and the ILO) and how much AI is already used for them (Microsoft Copilot and Anthropic Claude usage data).
Each source is converted to percentiles across all the occupations it covers, so the result is relative. It changes only when a source publishes a new edition, not every week.
Read MethodologySources
Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.
- Eloundou, Manning, Mishkin & Rock, "GPTs are GPTs: Labor market impact potential of LLMs", Science (2024); data MIT licence
- Gmyrek, Berg, Kamiński, Konopczyński, Ładna, Nafradi, Rosłaniec, Troszyński. Generative AI and Jobs: A Refined Global Index of Occupational Exposure. ILO Working Paper 140. Geneva: ILO, 2025. © ILO, CC BY 4.0
- Tomlinson, Jaffe, Wang, Counts & Suri, "Working with AI: Measuring the Occupational Implications of Generative AI", Microsoft Research; CC BY 4.0
- Anthropic Economic Index (job_exposure); CC BY
- U.S. Bureau of Labor Statistics, Employment Projections 2025–35 and AI exposure categories
The publishers did not prepare, review or endorse this site. Full citations, licences and method