As of June 2026, Automotive Engineers has an AI-exposure score of 61/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Automotive Engineers

61/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 69% of the roles we track. Median pay ~US$104,110. About 18,100 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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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Develop new or improved designs for vehicle structural members, engines, transmissions, or other vehicle systems, using computer-assisted design technology. Direct building, modification, or testing of vehicle or components.

Common titles
EngineerProduct EngineerProject EngineerResearch EngineerDimensional Integration Engineer
Typical preparation
Considerable Preparation Needed: Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be...
Skills and knowledge
Complex Problem SolvingCritical ThinkingReading ComprehensionJudgment and Decision MakingMathematicsSpeaking
Tools and technology
Autodesk AutoCADC++Dassault Systemes SolidWorksMicrosoft ExcelMicrosoft Office softwareMicrosoft PowerPoint
Work context
Email useFace-to-face discussionsTelephoneIndoor controlled settingDecision latitude

Source: O*NET 29.1 exact occupation - Automotive Engineers, SOC 17-2141.02. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Automotive Engineers tasks, by AI exposure

Automatable

No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (90%).

Augmentable
  • Coordinate production activities with other functional units, such as procurement, maintenance, or quality control.
  • Calibrate vehicle systems, including control algorithms or other software systems.
16 more augmentable tasks locked in the report.
Durable
  • Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles.
  • Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.
Action steps for this durable task locked in the report.

We analyzed all 20 Automotive Engineers tasks — 18 augmentable and 2 durable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

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

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Manufacturing Engineers
80% skills overlap · High exposure · ~US$102,440
63
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Coordinate production activities with other functional units, such as procurement, maintenance, or quality control.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

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 Engineers — median pay by US state (BLS OEWS, USD)

California: US$130,900Texas: US$112,410New York: US$102,440

Median annual wage, in USD. US national: US$104,110. More states are being added.

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