---
title: "Will AI Replace First-Line Supervisors of Mechanics, Installers, and Repairers?"
description: "BLS rates first-line supervisors of mechanics, installers, and repairers' exposure to AI as high. What that means, which parts of the work AI touches…"
canonical: "https://nuecareer.com/careers/will-ai-replace-first-line-supervisors-of-mechanics-installers-and-repairers"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace First-Line Supervisors of Mechanics, Installers, and Repairers? (2026)

**Short answer:** Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it still projects employment to grow faster than average.

The Bureau of Labor Statistics places first-line supervisors of mechanics, installers, and repairers in its high AI exposure category, above the middle of the pack: a substantial share of the work overlaps with what AI can do. BLS projects employment to change by +4.1% over 2025–2035, against 3.5% for all occupations, with about 48,900 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | High | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 54/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +4.1% | BLS EP 2025–2035 |
| Openings a year | 48,900 | BLS EP 2025–2035 |
| Median annual wage | $79,860 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate | 194 |
| High (this job) | 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

- Face-to-face discussions: 4.5/5 (O\*NET work context)
- Repairing and maintaining mechanical equipment: 3.7/5 (O\*NET work activity importance)
- Operating vehicles, mechanized devices, or equipment: 4.0/5 (O\*NET work activity importance)
- Inspecting equipment, structures, or materials: 4.0/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 3.9/5 (O\*NET work activity importance)
- Evaluating information to determine compliance with standards: 4.2/5 (O\*NET work activity importance)
- Repeating the same tasks: 3.9/5 (O\*NET work context)
- Processing information: 3.7/5 (O\*NET work activity importance)

## O\*NET tasks

- Requisition materials and supplies, such as tools, equipment, or replacement parts.
- Counsel employees about work-related issues and assist employees to correct job-skill deficiencies.
- Inspect and monitor work areas, examine tools and equipment, and provide employee safety training to prevent, detect, and correct unsafe conditions or violations of procedures and safety rules.
- Monitor employees' work levels and review work performance.
- Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.
- Conduct or arrange for worker training in safety, repair, or maintenance techniques, operational procedures, or equipment use.

## Related careers less exposed to AI than first-line supervisors of mechanics, installers, and repairers

- [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)
- [Mobile Heavy Equipment Mechanic, Except Engines](https://nuecareer.com/careers/mobile-heavy-equipment-mechanic): BLS exposure Low, median $65,510; [Will AI replace mobile heavy equipment mechanics?](https://nuecareer.com/careers/will-ai-replace-mobile-heavy-equipment-mechanics)
- [Aircraft Mechanic](https://nuecareer.com/careers/aircraft-mechanic): BLS exposure Low, median $79,870; [Will AI replace aircraft mechanics?](https://nuecareer.com/careers/will-ai-replace-aircraft-mechanics)
- [First-Line Supervisor of Farming, Fishing, and Forestry Workers](https://nuecareer.com/careers/first-line-supervisor-of-farming-fishing-and-forestry-workers): BLS exposure Low, median $59,320
- [First-Line Supervisor of Construction Trades and Extraction Workers](https://nuecareer.com/careers/first-line-supervisor-of-construction-trades-and-extraction-workers): BLS exposure Moderate, median $79,920; [Will AI replace first-line supervisors of construction trades and extraction workers?](https://nuecareer.com/careers/will-ai-replace-first-line-supervisors-of-construction-trades-and-extraction-workers)
- [Industrial Machinery Mechanic](https://nuecareer.com/careers/industrial-machinery-mechanic): BLS exposure Moderate, median $64,520; [Will AI replace industrial machinery mechanics?](https://nuecareer.com/careers/will-ai-replace-industrial-machinery-mechanics)

## FAQ

**Will AI replace first-line supervisors of mechanics, installers, and repairers?**

Not replaced, but changed. BLS rates the exposure as high, so AI can help with a real share of the work, yet it 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 +4.1% over 2025–2035, against 3.5% for all occupations, with about 48,900 openings a year.

**How exposed are first-line supervisors of mechanics, installers, and repairers to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. First-Line Supervisors of Mechanics, Installers, and Repairers are in the high category, alongside 189 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 first-line supervisor of mechanics, installers, and repairers'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, evaluating information to determine compliance with standards and repeating the same tasks. The parts that hold up best are face-to-face discussions, repairing and maintaining mechanical equipment and operating vehicles, mechanized devices, or equipment. 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 first-line supervisor of mechanics, installers, and repairers a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, first-line supervisors of mechanics, installers, and repairers score 54 out of 100, higher than 72% of the occupations we score. The job pays a median of $79,860 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 first-line supervisors of mechanics, installers, and repairers are less exposed to AI?**

Electrical Power-Line Installer and Repairer (low exposure, $95,320 median), Mobile Heavy Equipment Mechanic, Except Engines (low exposure, $65,510 median), Aircraft Mechanic (low exposure, $79,870 median), First-Line Supervisor of Farming, Fishing, and Forestry Workers (low exposure, $59,320 median). Each is in a lower BLS exposure category than first-line supervisors of mechanics, installers, and repairers, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/first-line-supervisor-of-mechanics-installers-and-repairers.

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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