---
title: "Will AI Replace Mobile Heavy Equipment Mechanics?"
description: "BLS rates mobile heavy equipment mechanics' exposure to AI as low. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+6.7%…"
canonical: "https://nuecareer.com/careers/will-ai-replace-mobile-heavy-equipment-mechanics"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Mobile Heavy Equipment Mechanics? (2026)

**Short answer:** Very unlikely. BLS rates mobile heavy equipment mechanics among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.

The Bureau of Labor Statistics places mobile heavy equipment mechanics in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to change by +6.7% over 2025–2035, against 3.5% for all occupations, with about 15,000 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Low | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 66/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +6.7% | BLS EP 2025–2035 |
| Openings a year | 15,000 | BLS EP 2025–2035 |
| Median annual wage | $65,510 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low (this job) | 203 |
| Moderate | 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: 4.6/5 (O\*NET work activity importance)
- Face-to-face discussions: 4.7/5 (O\*NET work context)
- Performing general physical activities: 4.0/5 (O\*NET work activity importance)
- Operating vehicles, mechanized devices, or equipment: 4.5/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 4.0/5 (O\*NET work activity importance)
- Processing information: 3.8/5 (O\*NET work activity importance)
- Getting information: 4.2/5 (O\*NET work activity importance)
- Repetitive motions: 3.8/5 (O\*NET work context)

## O\*NET tasks

- Repair and replace damaged or worn parts.
- Test mechanical products and equipment after repair or assembly to ensure proper performance and compliance with manufacturers' specifications.
- Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes.
- Read and understand operating manuals, blueprints, and technical drawings.
- Operate and inspect machines or heavy equipment to diagnose defects.
- Clean, lubricate, and perform other routine maintenance work on equipment and vehicles.

## Related careers that are also low-exposure

- [Crane and Tower Operator](https://nuecareer.com/careers/crane-and-tower-operator): BLS exposure Low, median $68,080; [Will AI replace crane operators?](https://nuecareer.com/careers/will-ai-replace-crane-operators)
- [Electrical Power-Line Installer and Repairer](https://nuecareer.com/careers/electrical-power-line-installer-and-repairer): BLS exposure Low, median $95,320; [Will AI replace linemen?](https://nuecareer.com/careers/will-ai-replace-linemen)
- [Mechanical Door Repairer](https://nuecareer.com/careers/mechanical-door-repairer): BLS exposure Low, median $55,720
- [Commercial Diver](https://nuecareer.com/careers/commercial-diver): BLS exposure Low, median $72,990
- [Millwright](https://nuecareer.com/careers/millwright): BLS exposure Low, median $65,700

## FAQ

**Will AI replace mobile heavy equipment mechanics?**

Very unlikely. BLS rates mobile heavy equipment mechanics among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. 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 +6.7% over 2025–2035, against 3.5% for all occupations, with about 15,000 openings a year.

**How exposed are mobile heavy equipment mechanics to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Mobile Heavy Equipment Mechanics are in the low category, alongside 202 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 a mobile heavy equipment mechanic, except engines's job can AI do?**

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

**Is being a mobile heavy equipment mechanic, except engines a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, mobile heavy equipment mechanics score 66 out of 100, higher than 95% of the occupations we score. The job pays a median of $65,510 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 mobile heavy equipment mechanics are less exposed to AI?**

Crane and Tower Operator (low exposure, $68,080 median), Electrical Power-Line Installer and Repairer (low exposure, $95,320 median), Mechanical Door Repairer (low exposure, $55,720 median), Commercial Diver (low exposure, $72,990 median). Each is also in the low category, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/mobile-heavy-equipment-mechanic.

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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