As of July 2026, Automotive Service Technicians and Mechanics has an AI-exposure score of 40/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Automotive Service Technicians and Mechanics

40/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 9% of the roles we track. Median pay ~US$50,620. About 70,000 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

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How this role compares to similar Installation & Repair roles

Automotive Service Technicians and Mechanics (this role)
40
Motorcycle Mechanics
40
Tire Repairers and Changers
40
Watch and Clock Repairers
41
Camera and Photographic Equipment Repairers
41
Outdoor Power Equipment and Other Small Engine Mechanics
41
See all roles by exposure →
Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Diagnose, adjust, repair, or overhaul automotive vehicles.

Common titles
Automotive Mechanic (Auto Mechanic)Automotive Technician (Auto Tech)MechanicService Technician (Service Tech)Automotive Drivability Technician (Auto Drivability Tech)Automotive Service Technician (Auto Service Tech)
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingJudgment and Decision MakingMonitoringOperation and ControlComplex Problem SolvingSpeaking
Tools and technology
Microsoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft WindowsMicrosoft WordSAP software
Work context
Face-to-face discussionsFrequent contact with othersDecision latitudeTelephoneExternal customers

Source: O*NET 29.1 exact occupation - Automotive Service Technicians and Mechanics, SOC 49-3023.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Automotive Service Technicians and Mechanics tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as augmentable (50%).

Augmentable
  • Maintain cleanliness of work area.
  • Test and adjust repaired systems to meet manufacturers' performance specifications.
8 more augmentable tasks locked in the report.
Durable
  • Align vehicles' front ends.
  • Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines.
8 more durable tasks locked in the report.

We analyzed all 20 Automotive Service Technicians and Mechanics tasks - 10 augmentable and 10 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

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Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

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Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Rail Car Repairers
80% skills overlap; 2 points lower - similar exposure within the 5-point model resolution; Low band; ~US$67,530
View path
38
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Maintain cleanliness of work area.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Automotive Service Technicians and Mechanics - median pay by US state (BLS OEWS, USD)

California: US$64,980New York: US$54,120Texas: US$48,310

Median annual wage, in USD. US national: US$50,620. More states are being added.

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