JobShiftAtlas
Source-backed profile

Automotive Service Technicians and Mechanics

Diagnose, adjust, repair, or overhaul automotive vehicles.

BLS SOC 49-3023 · O*NET-SOC 49-3023.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$50,620

Projected change, 2025–2035

5%

2025–2035 annual average openings

66,200

AI exposure

Moderate

Editorial analysis

The mechanic's toolbox now includes data

Modern vehicles are rolling computer networks as much as mechanical machines. Diagnostic systems already produce fault codes and live operating data, and AI can help connect those signals to likely causes, repair histories, technical bulletins, and known failure patterns.

A fault code is not a diagnosis

Experienced technicians know that replacing the component named in a fault code can be an expensive mistake. The real problem may be wiring, a connector, contamination, an intermittent sensor, software, or another component causing the reading. AI can narrow the search, but technicians still need to test the hypothesis.

  • Diagnostic research can become faster and more vehicle-specific.
  • Predictive systems may identify developing problems before a breakdown.
  • Electric vehicles shift some work away from engines and toward batteries, high-voltage systems, electronics, cooling, and software.
  • Physical inspection, measurement, repair, and confirming that a vehicle is safe remain hands-on responsibilities.

The strongest career path is likely to combine mechanical fundamentals with electronics, software diagnostics, advanced driver-assistance systems, and electric-vehicle knowledge. Vehicles may diagnose themselves more effectively, but someone still has to determine whether the diagnosis is right and make the repair.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
825,800 jobs
Projected employment, 2035
866,700 jobs
Projected change, 20252035
40,900 jobs (5%)

Relative AI exposure

BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Moderate

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • 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 and adjust repaired systems to meet manufacturers' performance specifications.
  • 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.
  • Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines.
  • Repair, reline, replace, and adjust brakes.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Facilities management software
  • Internet browser software
  • Data base user interface and query software
  • Analytical or scientific software
  • Project management software
  • Data base reporting software
  • Electronic mail software
  • Spreadsheet software

Preparation

Typical entry education
Postsecondary nondegree award
Related experience
None
On-the-job training
Short-term on-the-job training

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.