---
title: "Will AI Replace Auto Mechanics? (2026)"
description: "BLS rates auto mechanics' exposure to AI as moderate. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+5.0% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-auto-mechanics"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Auto Mechanics? (2026)

**Short answer:** Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.

The Bureau of Labor Statistics places auto mechanics in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +5.0% over 2025–2035, against 3.5% for all occupations, with about 66,200 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Moderate | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 59/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +5.0% | BLS EP 2025–2035 |
| Openings a year | 66,200 | BLS EP 2025–2035 |
| Median annual wage | $50,620 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate (this job) | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Repairing and maintaining mechanical equipment: 4.1/5 (O\*NET work activity importance)
- Performing general physical activities: 4.1/5 (O\*NET work activity importance)
- Face-to-face discussions: 4.6/5 (O\*NET work context)
- Hands-on work with tools and objects: 4.6/5 (O\*NET work context)

## What AI reaches first

- Repetitive motions: 4.2/5 (O\*NET work context)
- Getting information: 4.0/5 (O\*NET work activity importance)
- Processing information: 3.4/5 (O\*NET work activity importance)
- Working with computers: 3.6/5 (O\*NET work activity importance)

## O\*NET tasks

- Follow checklists to ensure all important parts are examined, including belts, hoses, steering systems, spark plugs, brake and fuel systems, wheel bearings, and other potentially troublesome areas.
- Test electronic computer components in automobiles to ensure proper operation.
- Maintain cleanliness of work area.
- Perform routine and scheduled maintenance services, such as oil changes, lubrications, and tune-ups.
- Inspect vehicles for damage and record findings so that necessary repairs can be made.
- Test drive vehicles and test components and systems, using equipment such as infrared engine analyzers, compression gauges, and computerized diagnostic devices.

## Related careers less exposed to AI than auto mechanics

- [Motorcycle Mechanic](https://nuecareer.com/careers/motorcycle-mechanic): BLS exposure Low, median $48,580
- [Motorboat Mechanic and Service Technician](https://nuecareer.com/careers/motorboat-mechanic-and-service-technician): BLS exposure Low, median $57,550
- [Rail Car Repairer](https://nuecareer.com/careers/rail-car-repairer): BLS exposure Low, median $67,530
- [Bus and Truck Mechanic and Diesel Engine Specialist](https://nuecareer.com/careers/bus-and-truck-mechanic-and-diesel-engine-specialist): BLS exposure Low, median $61,770; [Will AI replace diesel mechanics?](https://nuecareer.com/careers/will-ai-replace-diesel-mechanics)

## FAQ

**Will AI replace auto mechanics?**

Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +5.0% over 2025–2035, against 3.5% for all occupations, with about 66,200 openings a year.

**How exposed are auto mechanics to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Auto Mechanics are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of an automotive service technician and mechanic's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are repetitive motions, getting information and processing information. The parts that hold up best are repairing and maintaining mechanical equipment, performing general physical activities and face-to-face discussions. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being an automotive service technician and mechanic a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, auto mechanics score 59 out of 100, higher than 83% of the occupations we score. The job pays a median of $50,620 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to auto mechanics are less exposed to AI?**

Motorcycle Mechanic (low exposure, $48,580 median), Motorboat Mechanic and Service Technician (low exposure, $57,550 median), Rail Car Repairer (low exposure, $67,530 median), Bus and Truck Mechanic and Diesel Engine Specialist (low exposure, $61,770 median). Each is in a lower BLS exposure category than auto mechanics, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/automotive-service-technician-and-mechanic.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology