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Automotive Engineers

Automotive Engineers score 66 out of 100, which is high exposure to AI. That ranks #61 of 923 US occupations, where #1 is the most exposed. Of the 25 tasks in this job, AI could speed up 9 on its own and 15 more with extra software built on top of it. In April–May 2026, 12 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

66/ 100
High
Rank
#61of 923 jobs
US workers
296,810for Mechanical Engineers
Median pay
$104,110a year
In real AI use
12 of 25tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 9 (36%)
  • AI can speed this up with extra software: 15 (60%)
  • Little or no AI speed-up: 1 (4%)
  • Provide technical direction to other engineers or engineering support personnel.AI can speed this up on its own · core task · Seen in real AI use
  • Calibrate vehicle systems, including control algorithms or other software systems.AI can speed this up on its own · core task
  • Prepare or present technical or project status reports.AI can speed this up on its own · core task · Seen in real AI use
  • Develop calibration methodologies, test methodologies, or tools.AI can speed this up on its own · core task · Seen in real AI use
  • Write, review, or maintain engineering documentation.AI can speed this up on its own · core task · Seen in real AI use
  • Build models for algorithm or control feature verification testing.AI can speed this up on its own · core task · Seen in real AI use
  • Design control systems or algorithms for purposes such as automotive energy management, emissions management, or increased operational safety or performance.AI can speed this up on its own · core task
  • Develop or integrate control feature requirements.AI can speed this up on its own · core task · Seen in real AI use
  • Research computerized automotive applications, such as telemetrics, intelligent transportation systems, artificial intelligence, or automatic control.AI can speed this up on its own · core task
  • Perform failure, variation, or root cause analyses.AI can speed this up with extra software · core task · Seen in real AI use
  • Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.AI can speed this up with extra software · core task · Seen in real AI use
  • Conduct research studies to develop new concepts in the field of automotive engineering.AI can speed this up with extra software · core task
  • Establish production or quality control standards.AI can speed this up with extra software · core task · Seen in real AI use
  • Alter or modify designs to obtain specified functional or operational performance.AI can speed this up with extra software · core task
  • Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles.AI can speed this up with extra software · core task
  • Create design alternatives for vehicle components, such as camless or dual-clutch engines or alternative air-conditioning systems, to increase fuel efficiency.AI can speed this up with extra software · core task
  • Develop or implement operating methods or procedures.AI can speed this up with extra software · core task · Seen in real AI use
  • Develop engineering specifications or cost estimates for automotive design concepts.AI can speed this up with extra software · core task · Seen in real AI use
  • Conduct automotive design reviews.AI can speed this up with extra software · core task
  • Design vehicles that use lighter materials, such as aluminum, magnesium alloy, or plastic, to improve fuel efficiency.AI can speed this up with extra software · core task
  • Develop specifications for vehicles powered by alternative fuels or alternative power methods.AI can speed this up with extra software · core task
  • Coordinate production activities with other functional units, such as procurement, maintenance, or quality control.AI can speed this up with extra software · core task · Seen in real AI use
  • Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new automotive technology or competitive products.AI can speed this up with extra software · core task
  • Design vehicles for increased recyclability or use of natural, renewable, or recycled materials in vehicle construction.AI can speed this up with extra software · core task
  • Conduct or direct system-level automotive testing.Little or no AI speed-up · core task

Questions about automotive engineers and AI

Will AI replace automotive engineers?

Probably not entirely, but the job is likely to change a lot. Automotive Engineers score 66 out of 100 (high exposure), #61 of 923 US jobs. AI could speed up 24 of the job's 25 tasks, 9 of them on its own, while 1 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which automotive engineers tasks can AI do?

The most exposed tasks include "Provide technical direction to other engineers or engineering support personnel"; "Calibrate vehicle systems, including control algorithms or other software systems"; "Prepare or present technical or project status reports".

Which automotive engineers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Conduct or direct system-level automotive testing".

Are people already using AI for this work?

Yes. In April–May 2026, 12 of the 25 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as automotive engineers, and what do they earn?

About 296,810 people in the US (figure for Mechanical Engineers), with median pay of $104,110 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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