aijobimpactcalculator.com
Menu

Occupation deep dive / O*NET-SOC 49-3023.00 / Last verified June 2026

Will AI replace automotive service technicians and mechanics?

ILO 2025 places auto technicians in the low exposure gradient. The role is heavy in physical diagnostic and repair work; AI augments diagnostic systems but cannot substitute for hands-on repair at task level.

AI impact on auto mechanic jobs in 2025-2026

The direct answer: AI is changing auto mechanic work at task level, not eliminating the occupation outright. ILO 2025 places automotive service technicians and mechanics in the low generative-AI exposure gradient, 0 of the top 5 O*NET tasks are classified displaceable, and BLS projects employment to grow 5% through 2035.

ILO 2025 exposure

LowFour-band gradient, refined index

Displaceable top tasks

0 of 5Brookings 2024 task rubric

BLS 2025-2035

+5%Faster than average, projected employment change

Will automotive service technicians and mechanics jobs grow or shrink by 2035?

The BLS Employment Projections 2025-2035 put automotive service technicians and mechanics at +5% projected employment change, classified faster than average. BLS also projects about 66,200 openings each year on average over the decade, mostly from workers retiring or moving to other occupations, even where employment is flat or declining. This is the official US decade projection from the National Employment Matrix, distinct from the ILO 2025 AI-exposure gradient above. Source: BLS Employment Projections 2025-2035.

In its Occupational Outlook Handbook summary, BLS rounds this to +5% (faster than average) and reports a median annual wage of $50,620 (May 2025). Source: BLS Occupational Outlook Handbook.

Is this the 2024-2034 or the 2025-2035 projection?

The current BLS projection round is 2025-2035, released on 27 August 2026 (USDL-26-1422). It supersedes the 2024-2034 round. This page shows the 2025-2035 figures for automotive service technicians and mechanics. If you have seen a different percentage quoted for this occupation elsewhere, it is most likely the retired 2024-2034 number rather than a contradiction. Across the whole economy the new round projects total employment rising from 170.3 million to 176.2 million jobs, a gain of 5.9 million or 3.5 percent, which is well below the 10.9 percent recorded over 2015-2025. Source: BLS Employment Projections 2025-2035 news release.

The new round also matters for this site specifically. Alongside the 2025-2035 projections, BLS published its own AI exposure categories for the first time, sorting the 831 detailed occupations it projects into Low, Moderate, High and Very High relative exposure. BLS builds the categories from three theoretical sources, which ask whether AI capabilities could match an occupation's tasks, and two observed sources drawn from 2023-2025 Claude and Copilot usage mapped to those tasks. BLS is explicit that the categories are relative rankings against other occupations, not absolute risk levels and not employment forecasts, which is the same caveat this site applies to the ILO gradient above. The two are independent measures and will not always agree. Source: BLS AI exposure categories. Checked 7 September 2026.

personalise this exposure

The ILO national-average exposure for Automotive Service Technicians and Mechanics is 20%. Adjust the four inputs below to see how your specific role characteristics shift the number up or down.

Years in this kind of role

5 years

Your current AI-tool usage

% of work that is routine / repeatable

50%

% of work requiring judgement / relationships

30%

LOWER EXPOSURE

16%

personalised AI exposure score ยท -4% vs ILO baseline (20%)

adjustment breakdown

Years experience adjustment0%
AI tooling (moderate)-4%
Routine work share0%
Judgement / relational work share0%

Heavy AI tooling adoption reduces personalised exposure (you're already augmenting). Routine fractions above 50% raise exposure. Years of experience modestly insulate (institutional knowledge, judgement). Judgement / relational fractions reduce exposure most. The model adjusts the ILO baseline by these factors; treat as a personalised reading, not a precise forecast.

Panel 1 / Exposure

Low exposure

LOWMODERATEHIGHVERY HIGHILO 2025 EXPOSURE GRADIENT

ILO 2025 places auto technicians in the low exposure gradient. The role is heavy in physical diagnostic and repair work; AI augments diagnostic systems but cannot substitute for hands-on repair at task level.

Source: ILO 2025 refined Generative AI Occupational Exposure Index. ISCO-08 mapping 7231. View methodology.

Panel 2 / Tasks

Top tasks for this role

  • Examine vehicles to determine extent of damage or malfunctions.

    AI diagnostics aid examination; physical inspection and judgement remain human.

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

    Physical testing and adjustment are not in scope for generative AI displacement.

  • Repair, reline, replace, and adjust brakes.

    Hands-on repair is physical and contextually constrained; not displaceable.

  • Communicate with customers regarding vehicle issues and recommended repairs.

    Customer communication is augmentation-prone per Brookings 2024 and grows in importance as diagnostics improve.

  • Plan work procedures, using charts, technical manuals, and experience.

    AI-assisted reference is widely used; final procedural judgement remains human.

Source: O*NET 30.2 task list (CC-BY 4.0); Brookings 2024 task-level rubric. View methodology.

Panel 3 / What is growing

Growth and skills outlook

BLS 2025-2035

Faster than average

+5% projected change.

WEF 2025 / Top growing skills relevant to this role

  • Technological literacy (Technology)
  • Resilience, flexibility and agility (Self-efficacy)
  • Empathy and active listening (Self-efficacy)

Brookings 2024 places automotive repair work in the low-exposure category for generative AI: physical work and customer interaction are augmentation-prone but cannot be displaced at task level.

Source: BLS Employment Projections 2025-2035; WEF Future of Jobs Report 2025. View methodology.

What this occupation does

Automotive service technicians and mechanics inspect, maintain, and repair cars and light trucks. The role spans diagnostic work, mechanical and electronic repair, customer consultation, and fleet maintenance across dealership and independent shop settings.

The exposure score in context

The ILO 2025 refined Generative AI Occupational Exposure Index places automotive service technicians and mechanics in the low exposure gradient. ILO 2025 places auto technicians in the low exposure gradient. The role is heavy in physical diagnostic and repair work; AI augments diagnostic systems but cannot substitute for hands-on repair at task level.

The mapping uses ISCO-08 code 7231 (BLS-published SOC-to-ISCO crosswalk). The full methodology, including the dominant-match rule for one-to-many crosswalks, is at /methodology/#algorithm.

The top five tasks, classified

The top five O*NET 30.2 tasks for this occupation, each tagged Displaceable / Changing / Growing per the Brookings 2024 task-level rubric. The tag definitions are at /glossary/#displaceable-task, /glossary/#changing-task, and /glossary/#growing-task.

  1. Changing: Examine vehicles to determine extent of damage or malfunctions. AI diagnostics aid examination; physical inspection and judgement remain human.
  2. Growing: Test and adjust repaired systems to meet manufacturers' performance specifications. Physical testing and adjustment are not in scope for generative AI displacement.
  3. Growing: Repair, reline, replace, and adjust brakes. Hands-on repair is physical and contextually constrained; not displaceable.
  4. Growing: Communicate with customers regarding vehicle issues and recommended repairs. Customer communication is augmentation-prone per Brookings 2024 and grows in importance as diagnostics improve.
  5. Changing: Plan work procedures, using charts, technical manuals, and experience. AI-assisted reference is widely used; final procedural judgement remains human.

What is growing in this role

The BLS Employment Projections 2025-2035 outlook for automotive service technicians and mechanics is faster than average (+5% projected change). Source: BLS Employment Projections 2025-2035.

Per the WEF Future of Jobs Report 2025, the top three growing skills relevant to this role are: Technological literacy, Resilience, flexibility and agility, Empathy and active listening. The skills are mapped to the occupation's O*NET skills profile.

Brookings 2024 places automotive repair work in the low-exposure category for generative AI: physical work and customer interaction are augmentation-prone but cannot be displaced at task level.

Similar occupations

O*NET 30.2 lists the following related roles. Each links to its own deep dive where one is published.

Industry context

This role sits primarily in the Manufacturing industry. The industry-level rollup includes the cross-occupation exposure profile and the BLS-published industry-level outlook.

How this assessment was made

The full methodology is at /methodology/: ILO 2025 refined index for the gradient, Brookings 2024 rubric for the task tags, BLS 2025-2035 for the growth outlook, WEF 2025 for the skills demand. The pre-empted critiques are at /how-to-argue-with-this/.

AI impact on auto mechanic jobs: frequently asked questions

Will AI replace automotive service technicians and mechanics in 2025-2026?

Not outright. The ILO 2025 refined Generative AI Occupational Exposure Index places automotive service technicians and mechanics in the low exposure gradient, and none of the top 5 O*NET 30.2 tasks are classified fully displaceable: the exposed tasks are changing rather than disappearing. AI is changing auto mechanic work at task level in 2025-2026 rather than eliminating the occupation.

Are auto mechanic jobs growing or declining?

The US Bureau of Labor Statistics projects employment for automotive service technicians and mechanics to grow 5% (faster than average) between 2025 and 2035. Even so, BLS projects about 66,200 openings for automotive service technicians and mechanics each year on average over the decade, mostly to replace workers who retire or move to other occupations. Source: BLS Employment Projections 2025-2035, National Employment Matrix.

What does BLS project for automotive service technicians and mechanics, 2025-2035?

The BLS Occupational Outlook Handbook projects employment of automotive service technicians and mechanics to grow 5% (faster than average) from 2025 to 2035, and reports a median annual wage of $50,620 (May 2025). About 66,200 openings are projected each year on average over the decade. Source: BLS Occupational Outlook Handbook.

What skills are growing for automotive service technicians and mechanics?

Per the WEF Future of Jobs Report 2025, the top growing skills relevant to this role are Technological literacy, Resilience, flexibility and agility, Empathy and active listening.

Is this the BLS 2024-2034 or 2025-2035 employment outlook for automotive service technicians and mechanics?

The current round is 2025-2035, released by BLS on 27 August 2026 (USDL-26-1422), and it supersedes the 2024-2034 round. This page reports the 2025-2035 figures for automotive service technicians and mechanics, so a different percentage quoted elsewhere is most likely the retired 2024-2034 number. Economy-wide, the 2025-2035 round projects total employment rising from 170.3 million to 176.2 million jobs, a gain of 5.9 million or 3.5 percent, against 10.9 percent over 2015-2025. Alongside it BLS published its own AI exposure categories for the first time, sorting the 831 detailed occupations it projects into Low, Moderate, High and Very High relative exposure, built from three theoretical sources and two observed sources drawn from 2023-2025 Claude and Copilot usage. BLS states these are relative rankings, not absolute risk levels or employment forecasts. Sources: BLS Employment Projections 2025-2035 news release; BLS AI exposure categories.

From the cluster

Questions

Didn't find your answer?

Ask us. A real person reads every question and we answer the ones we can, with sources. If your question would help other readers, we may publish an anonymised version, with your permission. General reference only.

Ask a question

questions@aijobimpactcalculator.com