# Will automotive engineers be replaced by AI? Updated October 2026 Automotive engineers score 56 out of 100 for AI exposure. AI helps with 84% of their task time, and they stay in charge. AI can do another 8%. 8% needs a person. - **8%** AI can do it - **84%** AI helps - **8%** Needs a person High exposure Higher than 86% of the 923 jobs we scored. ## Task by task We graded 25 tasks, most exposed first. AI can do 2 of them, helps with 21 and leaves 2 to people. | Task | AI exposure | | --- | --- | | Write, review, or maintain engineering documentation. AI drafts and tidies engineering documents; engineer approves content. | 70% AI can do it | | Prepare or present technical or project status reports. AI drafts status reports quickly; engineer reviews facts and tone. | 65% AI can do it | | Build models for algorithm or control feature verification testing. AI writes model code and test cases; engineers verify behavior. | 60% AI helps | | Perform failure, variation, or root cause analyses. AI speeds data sifting; engineers still confirm root causes. | 55% AI helps | | Develop engineering specifications or cost estimates for automotive design concepts. AI drafts specs and estimates from data; engineers verify assumptions. | 55% AI helps | ## How automotive engineers compare All jobs (923) Architecture and engineering (56) The dark line is **automotive engineers, at 56**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 47 for architecture and engineering. ## Pay and outlook in the US Median pay $104,110 a year, May 2025 Projected change in jobs +11.2% from 2024 to 2034 ## Skills to build - Verify AI-drafted specifications and cost estimates in Excel - Model vehicle structures and assemblies in CATIA or SolidWorks - Script root cause analyses and test models in Python or MATLAB - Manage engineering change records in Siemens Teamcenter - Calibrate vehicle control algorithms on physical test rigs ## Safer roles nearby 5 related jobs with lower scores. - [Mechanical engineers47 out of 100](https://www.aigentcy.com/ai-exposure/mechanical-engineers/) - [Manufacturing engineers52 out of 100](https://www.aigentcy.com/ai-exposure/manufacturing-engineers/) - [Industrial engineers55 out of 100](https://www.aigentcy.com/ai-exposure/industrial-engineers/) - [Aerospace engineers51 out of 100](https://www.aigentcy.com/ai-exposure/aerospace-engineers/) - [Electronics engineers53 out of 100](https://www.aigentcy.com/ai-exposure/electronics-engineers/) ## Questions about automotive engineers and AI Will AI replace automotive engineers? Partly. About 4 in 10 working hours for automotive engineers go to tasks AI can already do, mostly engineering documentation and status reports. Engineers still approve what goes into a spec, verify the facts in a report, and take responsibility for the design decisions behind it. Which tasks is AI taking over for automotive engineers? AI is taking over the first drafts of engineering documentation, scored 70 for exposure, and status reports, scored 65. It writes from data the engineer already holds, so the engineer checks facts and skips the typing. Model code and test cases for control feature verification, scored 60, come next, since AI writes the code and engineers confirm the behaviour. Which automotive engineering tasks stay with people? Technical direction, production coordination and physical system testing stay with people. Leading engineers needs live judgement and people skills. Coordinating plants, suppliers and quality control needs people too, with AI helping only with scheduling. System-level testing needs physical rigs and people reading results, with AI helping only with planning and data review. How can automotive engineers stay valuable with AI? Stay responsible for checks that need a human sign-off. Verify every AI-drafted specification and cost estimate in Excel against the assumptions behind it. Run root cause analyses in MATLAB or Python yourself, and lead the physical test and calibration work where real vehicle results decide the answer. ## Related jobs - [Mechatronics engineers48 out of 100](https://www.aigentcy.com/ai-exposure/mechatronics-engineers/) - [Electrical engineers47 out of 100](https://www.aigentcy.com/ai-exposure/electrical-engineers/) - [Fuel cell engineers49 out of 100](https://www.aigentcy.com/ai-exposure/fuel-cell-engineers/) - [Validation engineers49 out of 100](https://www.aigentcy.com/ai-exposure/validation-engineers/) ## Next steps for automotive engineers - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of automotive engineers, and what they cost. [Estimate what AI saves a team of automotive engineers](https://www.aigentcy.com/tools/team-ai-audit/?role=automotive-engineers) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.