Ranking of Industries with the Highest AI Impact
AI does not affect every industry the same way, or even every job within an industry the same way. What matters is how much of a sector's work is repeatable information handling, versus judgment, physical presence, and accountability that a model cannot take on.
Industries built on standardized documents, structured data, and routine communication, such as finance back offices, administrative support, and parts of media and marketing, tend to score higher, because those tasks are what current AI does well. Sectors anchored in physical work, safety-critical decisions, and hands-on care, such as construction, healthcare, energy, and transportation, hold up better even as AI speeds up their paperwork.
The ranking below shows each industry's average exposure index across the occupations we cover, weighted by US employment where BLS data exists. Read it as a starting point, not a verdict: within any industry, routine information work sits far above roles built on judgment and physical work. Open an industry to see which occupations drive its figure.
A higher industry average means the typical work in that industry is more exposed to generative AI; a lower one means more of its work still depends on people on site. It reflects how exposed the tasks are, not a prediction that the jobs disappear.
Industry Ranking
| 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 |
| 11 | Government | 71.3 | 2 |
| 12 | Energy | 61.8 | 3 |
| 13 | Environment | 61.7 | 3 |
| 14 | Education | 61.5 | 11 |
| 15 | Entertainment | 61.4 | 6 |
| 16 | Legal | 54.5 | 7 |
| 17 | Healthcare | 51.9 | 15 |
| 18 | Hospitality | 43.9 | 13 |
| 19 | Manufacturing | 42.6 | 7 |
| 20 | Logistics | 40.8 | 6 |
| 21 | Transportation | 39.8 | 10 |
| 22 | Public Service | 39.5 | 2 |
| 23 | Construction | 35.5 | 12 |
| 24 | Agriculture | 32 | 3 |
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
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
The publishers did not prepare, review or endorse this site. Full citations, licences and method
The Range Inside Each Sector
An average hides the thing most readers came for. The two columns below show, for every sector, the occupation most exposed to generative AI and the one least exposed.
Frequently asked questions
Q.Which industries are most exposed to AI?
The sectors at the top of this ranking are the ones whose typical work is standardised information handling: back-office finance, administrative support, and parts of media and marketing. They are not exposed because of the industry label but because of the task profile that dominates inside them — predictable inputs, checkable outputs, and enough volume to make automation worth building.
Q.Does a high industry figure mean every job in it is at risk?
No, and the spread table above is there to show why. Every sector we track contains both routine processing roles and roles built on judgement, physical presence or accountability, and the distance between them is usually larger than the distance between one industry and the next. Read the sector figure as context, then read the occupation.
Q.My field is not listed as one of these industries. Where should I look?
The sector list groups the occupations we cover; it is not a full industry taxonomy. The reliable route is to look up the occupation itself: every one has its own page with its figures and sources.
Q.How is an industry's figure calculated?
It is the average exposure index of the occupations we cover in that sector, weighted by US employment (BLS 2025) where every occupation has BLS data and unweighted otherwise. The methodology page sets out the sources and the limits.