52
/100

SOC 49-3023

Automotive Service Technicians and Mechanics

ElevatedFrey/Osborne: 59.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

688,840

Total workers

Median Wage

๐Ÿ’ฐ

$50K

$34K โ€“ $81K

Projected Growth

๐Ÿ“ˆ

+4.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Automotive Service Technicians and Mechanics face a risk score of 52/100 โ€” 8 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $50K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 52/100, Automotive Service Technicians and Mechanics faces moderate automation pressure. While tasks like robotic inspection of hard-to-reach equipment are increasingly handled by AI, the role retains significant human elements. The 688,840 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Automotive Service Technicians and Mechanics?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Augmented reality-guided remote diagnostics

3

AI parts inventory and supply chain optimization

4

Predictive maintenance AI reducing reactive repair needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Adapting repairs to non-standard or legacy equipment

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Inspect vehicles for damage and record findings so that necessary repairs can be made.

โ€ข

Test drive vehicles and test components and systems, using equipment such as infrared engine analyzers, compression gauges, and computerized diagnostic devices.

โ€ข

Test and adjust repaired systems to meet manufacturers' performance specifications.

โ€ข

Repair, reline, replace, and adjust brakes.

โ€ข

Review work orders and discuss work with supervisors.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Project management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Computers and Electronics

โ€ข

Engineering and Technology

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$50K
+$3K

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth4.2%
+0.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Electrical Power-Line Installers and Repairers28$93K78%
Supervisors of Installation, Maintenance, and Repair Workers33$78K83%