The resilience score is a NueCareer analysis of public O*NET data. It is not a BLS or O*NET published figure, and it is not a forecast.
Data study
AI-Resistant Careers (2026): The Data
NueCareer scored 1,703 US occupations on AI resilience using O*NET work-activity and work-context data. The median score is 40/100. The 30 most resistant occupations pay a median of $58,390 a year against $78,760 for the 30 least resistant (BLS OEWS, May 2025). Both lists, with every score, are below.

- Occupations scored
- 1,703of 1,741 in the bank
- Median score
- 40/100NueCareer analysis
- Top-quartile median pay
- $57,410BLS OEWS, May 2025
- Bottom-quartile median pay
- $99,070BLS OEWS, May 2025
Quotable
Key statistics
Each figure below is sourced and safe to quote on its own.
- NueCareer scored 1,703 of the 1,741 US occupations in its career bank for AI resilience using O*NET work-activity and work-context data; the median score is 40/100.
- The 30 most AI-resistant occupations pay a median of $58,390 a year, against $78,760 for the 30 least resistant (BLS OEWS, May 2025).
- Occupations in the top quartile for AI resilience account for 18,671,000 projected job openings a year (BLS Employment Projections, 2025–2035).
- 74 of the 459 occupations in the bottom AI-resilience quartile are already projected to lose jobs over 2025–2035, compared with 89 of the 438 in the top quartile.
- 81% of top-quartile AI-resilient occupations have a typical entry requirement below an associate's degree. High AI resilience is not the same as high educational barrier.
- Median pay in the top AI-resilience quartile is $57,410, against $99,070 in the bottom quartile and $50,980 across all US occupations.
Most resistant
The 30 most AI-resistant careers
Scored 0–100 by NueCareer, highest first. Median pay is BLS OEWS May 2025; growth is BLS Employment Projections 2025–2035.
- 1Manufactured Building and Mobile Home Installer$45,990 median · +5.8%82/100
- 2Derrick Operator, Oil and Gas$58,620 median · +1.6%78/100
- 3Electrical Power-Line Installer and Repairer$95,320 median · +10.3%76/100
- 4Crane and Tower Operator$68,080 median · +3.8%76/100
- 5Registered Longshore Worker$68,080 median · +3.8%76/100
- 6Longshore Foreman$68,080 median · +3.8%76/100
- 7Transmission Lineworker$95,320 median · +10.3%76/100
- 8Storm Restoration Lineworker$95,320 median · +10.3%76/100
- 9High Voltage Cable Splicer$95,320 median · +10.3%76/100
- 10Tower Crane Operator$68,080 median · +3.8%76/100
- 11Offshore Crane Operator$68,080 median · +3.8%76/100
- 12Helpers--Electrician$42,670 median · +0.6%74/100
- 13Helpers--Extraction Worker$47,730 median · +1.7%74/100
- 14Segmental Paver$49,910 median · +3.9%73/100
- 15Earth Driller, Except Oil and Gas$60,190 median · +3.6%73/100
- 16Mechanical Door Repairer$55,720 median · +6.4%73/100
- 17Construction Laborer$47,120 median · +7.3%72/100
- 18Electrician$63,190 median · +9.2%72/100
- 19Roofer$55,440 median · +5.3%72/100
- 20Service Unit Operator, Oil and Gas$58,160 median · +1.1%72/100
- 21EV Charging Technician$63,190 median · +9.2%72/100
- 22Wind Energy Operations Manager$141,900 median · +4.9%71/100
- 23Tree Trimmer and Pruner$50,960 median · +4.2%71/100
- 24Baggage Porter and Bellhop$37,080 median · -3.0%71/100
- 25Oil and Gas Roustabout$46,960 median · +3.6%71/100
- 26Bicycle Repairer$42,780 median · -5.7%71/100
- 27Consulting Arborist$50,960 median · +4.2%71/100
- 28Utility Line Clearance Arborist$50,960 median · +4.2%71/100
- 29Agricultural Equipment Operator$41,730 median · +8.6%70/100
- 30Operating Engineer and Other Construction Equipment Operator$59,850 median · +4.6%70/100
Looking for a shortlist you can act on? Jobs AI can't replace combines these scores with the BLS exposure category, and adds pay, entry requirements and openings for each.
Most exposed
The 30 most AI-exposed careers
Lowest scores first. A low score means the work is concentrated in routine information processing and repetitive precision, the tasks current systems handle best. It is an exposure signal, not a prediction that the occupation disappears.
- 1AI Data Trainer$51,120 median · -0.9%0/100
- 2Statistical Assistant$50,330 median · -1.8%0/100
- 3Proofreader and Copy Marker$51,120 median · -0.9%0/100
- 4Billing and Posting Clerk$48,500 median · -0.1%2/100
- 5Credit Analyst$83,510 median · -4.3%3/100
- 6Analytics Engineer$120,230 median · +34.6%4/100
- 7Staff Data Scientist$120,230 median · +34.6%4/100
- 8Psychometrist$61,990 median · +5.0%4/100
- 9Pension Actuary$130,000 median · +9.2%4/100
- 10Pricing Actuary$130,000 median · +9.2%4/100
- 11Psychometrician$105,650 median · +11.0%4/100
- 12Social Science Research Assistant$61,990 median · +5.0%4/100
- 13Business Intelligence Analyst$120,230 median · +34.6%4/100
- 14Data Scientist$120,230 median · +34.6%4/100
- 15Statistician$105,650 median · +11.0%4/100
- 16Actuary$130,000 median · +9.2%4/100
- 17Sports Marketing Manager$78,760 median · +7.0%5/100
- 18Lifecycle Marketing Manager$78,760 median · +7.0%5/100
- 19Affiliate Marketing Manager$78,760 median · +7.0%5/100
- 20Brand Partnerships Manager$78,760 median · +7.0%5/100
- 21Programmatic Trader$78,760 median · +7.0%5/100
- 22Conversion Rate Optimization Specialist$78,760 median · +7.0%5/100
- 23Games User Researcher$78,760 median · +7.0%5/100
- 24Trial Consultant$78,760 median · +7.0%5/100
- 25Growth Marketing Manager$78,760 median · +7.0%5/100
- 26Product Marketing Manager$78,760 median · +7.0%5/100
- 27Luxury Brand Manager$78,760 median · +7.0%5/100
- 28Fragrance Evaluator$78,760 median · +7.0%5/100
- 29Trend Forecaster$78,760 median · +7.0%5/100
- 30Hotel Revenue Manager$78,760 median · +7.0%5/100
For the federal view, BLS publishes its own relative AI exposure category for every occupation it projects. See the jobs BLS rates most exposed to AI, the least exposed, or look up a single job, for example will AI replace accountants?
By field
Which fields hold up best
Number of occupations from each SOC major group, with its share of the quartile
- Construction and Extraction16% of the quartile70
- Installation, Maintenance, and Repair13% of the quartile58
- Transportation and Material Moving12% of the quartile52
- Healthcare Practitioners and Technical9% of the quartile41
- Personal Care and Service8% of the quartile37
| Item | Value |
|---|---|
| Construction and Extraction | 70 |
| Installation, Maintenance, and Repair | 58 |
| Transportation and Material Moving | 52 |
| Healthcare Practitioners and Technical | 41 |
| Personal Care and Service | 37 |
Source: NueCareer analysis of O*NET data
Method
How we score AI resilience
The score is built from the composition of an occupation's O*NET work activities and work context, not from any claim about a specific model's capabilities. Work that scores high involves assisting and caring for others, physical dexterity in unpredictable environments, sustained face-to-face contact, or creative origination. Work that scores low is concentrated in routine information processing, repetitive precision and structured document handling.
Limits worth stating plainly: this is a task-composition heuristic, not a labour-market forecast; it does not model how quickly technology is adopted in an industry; it does not account for regulation or licensing, which slows automation in many licensed occupations; and 38 occupations in the bank have O*NET work-activity coverage too sparse to score at all, so they are left unscored rather than estimated. Full methodology.
Reusing these numbers? Please cite “NueCareer analysis of O*NET work-activity data, 2026” and link back to this page.
Questions
AI and careers: FAQ
Which careers are most resistant to AI?
On NueCareer's analysis of O*NET work-activity data, the most resistant occupations are Manufactured Building and Mobile Home Installer (82/100), Derrick Operator, Oil and Gas (78/100), Electrical Power-Line Installer and Repairer (76/100). What they share is physical work in unpredictable settings, direct care of other people, or judgement calls that carry real consequences, the parts of a job that are hardest to reduce to a text prompt.
Which careers are most exposed to AI?
The lowest-scoring occupations in the bank are AI Data Trainer (0/100), Statistical Assistant (0/100), Proofreader and Copy Marker (0/100). Low scores mean the work is concentrated in routine information processing and repetitive precision. A low score is an exposure signal, not a prediction that the occupation disappears.
How is the AI-resilience score calculated?
It is a NueCareer analysis, not a BLS or O*NET published statistic. Each occupation's O*NET work activities and work context are scored on a 0–100 scale: assisting and caring for others, physical dexterity in unpredictable environments, face-to-face contact and creative origination raise the score; routine information processing and repetitive precision lower it. 38 occupations have work-activity data too sparse to score and are excluded rather than guessed at. The full method is on our methodology page.
Do AI-resistant careers pay less?
Not systematically. The top AI-resilience quartile has a median wage of $57,410 against $99,070 in the bottom quartile (BLS OEWS, May 2025). Both sit either side of the $50,980 US median, and the spread inside each quartile is far wider than the gap between them.



























































