AI Job Risk Report 2026
Artificial intelligence is rapidly transforming the global workforce.
This report summarises the current public-data snapshot: the generative-AI exposure of 189 occupations, calculated from research and usage datasets, alongside official US labour statistics.
It covers the most and least exposed occupations and the industry averages for the data editions published this year.
Jobs Analyzed
188
Projected to shrink in the US by 2035 (BLS)
Highest risk job
Call Center Agent
Safest job
Housekeeper
Top Jobs at Risk
| Rank | Job | Generative-AI exposure |
|---|---|---|
| 1 | Call Center Agent | 99 |
| 2 | Customer Support | 99 |
| 3 | Interpreter | 98 |
| 4 | Translator | 98 |
| 5 | Web Developer | 97 |
| 6 | Technical Writer | 96 |
| 7 | Programmer | 96 |
| 8 | Content Writer | 95 |
| 9 | Copywriter | 95 |
| 10 | Data Analyst | 95 |
| 11 | Data Scientist | 95 |
| 12 | Software Tester | 95 |
| 13 | Advertising Specialist | 94 |
| 14 | Market Research Analyst | 94 |
| 15 | Marketing Specialist | 94 |
| 16 | SEO Specialist | 94 |
| 17 | Social Media Manager | 94 |
| 18 | IT Support Specialist | 94 |
| 19 | Editor | 94 |
| 20 | Sales Representative | 93 |
Safest Jobs
| Rank | Job | Generative-AI exposure |
|---|---|---|
| 1 | Housekeeper | 13 |
| 2 | Fisherman | 17 |
| 3 | Welder | 18 |
| 4 | Miner | 19 |
| 5 | Construction Worker | 19 |
| 6 | Carpenter | 19 |
| 7 | Elevator Technician | 22 |
| 8 | Aircraft Mechanic | 23 |
| 9 | Firefighter | 25 |
| 10 | Water Treatment Operator | 27 |
| 11 | Ship Engineer | 27 |
| 12 | Baker | 27 |
| 13 | Renewable Energy Technician | 27 |
| 14 | Veterinary Assistant | 28 |
| 15 | Plumber | 28 |
| 16 | Automotive Technician | 29 |
| 17 | Farmer | 32 |
| 18 | Paramedic | 32 |
| 19 | Dentist | 33 |
| 20 | Warehouse Operator | 34 |
Industry Analysis
| Industry | Average exposure index | Jobs Analyzed |
|---|---|---|
| Marketing | 93.1 | 12 |
| Media | 91 | 6 |
| Operations | 89 | 3 |
| Technology | 86.9 | 21 |
| Finance | 82.6 | 13 |
| Creative | 79 | 8 |
| Retail | 77.2 | 2 |
| Science | 76 | 9 |
| Consulting | 72.5 | 11 |
| Real Estate | 72.3 | 3 |
| Government | 71.3 | 2 |
| Energy | 61.8 | 3 |
| Environment | 61.7 | 3 |
| Education | 61.5 | 11 |
| Entertainment | 61.4 | 6 |
| Legal | 54.5 | 7 |
| Healthcare | 51.9 | 15 |
| Hospitality | 43.9 | 13 |
| Manufacturing | 42.6 | 7 |
| Logistics | 40.8 | 6 |
| Transportation | 39.8 | 10 |
| Public Service | 39.5 | 2 |
| Construction | 35.5 | 12 |
| Agriculture | 32 | 3 |
Methodology
The AI Job Risk Index calculates exposure from four public datasets (Eloundou et al., ILO, Microsoft, Anthropic) and shows BLS projections unchanged.
Figures change only when a source publishes a new edition; this report reflects the current editions.
Sources
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
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