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AI exposure report

Will AI replace Automotive Engineers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

46/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Automotive Engineers?

Not entirely. Today's AI tools can take on about 46% of the typical work in this occupation, mostly: prepare or present technical or project status reports. The parts that stay human include: Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.; Conduct or direct system-level automotive testing.; Alter or modify designs to obtain specified functional or operational performance..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Prepare or present technical or project status reports.AI already used 75%
Write, review, or maintain engineering documentation.AI already used 75%
Conduct automotive design reviews. 55%
Perform failure, variation, or root cause analyses. 47%
Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics. 23%
Conduct or direct system-level automotive testing. 15%

+ 19 more tasks (57% of the week) in the full test.

Your human edge

  • Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.
  • Conduct or direct system-level automotive testing.
  • Alter or modify designs to obtain specified functional or operational performance.

AI tools to try

ChatGPT / Claude for calculations, specs and reportsAI features in CAD/BIM toolsCopilot for scripts (Python, MATLAB, Dynamo)

Related roles

A 3-phase AI learning plan

Phase 1

AI for documentation

  • Specifications, reports and change notes drafted with AI.
  • Standards and regulations searched with AI, checked in the source.
  • Meeting notes and RFIs summarised.

Project

Use AI to draft a full component specification and design change note for one subsystem, verify every standard clause against the source document, and log hours saved versus your last manual version.

Phase 2

AI in design work

  • Scripts and parametric design written with AI help.
  • Option studies and quick estimates with AI as a sparring partner.
  • Check AI outputs against calculations and codes.

Project

Write an AI-assisted Python script that runs a brake or transmission option study across 20 parameter variants, then hand-check three cases against your own calculations and the applicable code.

Phase 3

Engineering + AI

  • Data from sensors, tests or simulations analysed with AI.
  • Define where AI is not allowed (safety-critical sign-off).
  • Share methods and templates with your team.

Project

Analyse one rig or durability test dataset with AI to rank root-cause candidates, document where AI may not be used for safety sign-off, and share the script and template with your team.
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