Automotive Engineers
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.
How AI Impacts Each Task
25 tasks analyzed
Conduct or direct system-level automotive testing.
Conduct automotive design reviews.
Provide technical direction to other engineers or engineering support personnel.
Develop engineering specifications or cost estimates for automotive design concepts.
Perform failure, variation, or root cause analyses.
Establish production or quality control standards.
Write, review, or maintain engineering documentation.
Prepare or present technical or project status reports.
Design vehicles that use lighter materials, such as aluminum, magnesium alloy, or plastic, to improve fuel efficiency.
Alter or modify designs to obtain specified functional or operational performance.
Coordinate production activities with other functional units, such as procurement, maintenance, or quality control.
Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics.
Conduct research studies to develop new concepts in the field of automotive engineering.
Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles.
Develop calibration methodologies, test methodologies, or tools.
Create design alternatives for vehicle components, such as camless or dual-clutch engines or alternative air-conditioning systems, to increase fuel efficiency.
Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new automotive technology or competitive products.
Calibrate vehicle systems, including control algorithms or other software systems.
Design control systems or algorithms for purposes such as automotive energy management, emissions management, or increased operational safety or performance.
Develop or implement operating methods or procedures.
Develop or integrate control feature requirements.
Develop specifications for vehicles powered by alternative fuels or alternative power methods.
Build models for algorithm or control feature verification testing.
Design vehicles for increased recyclability or use of natural, renewable, or recycled materials in vehicle construction.
Research computerized automotive applications, such as telemetrics, intelligent transportation systems, artificial intelligence, or automatic control.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Conduct or direct system-level automotive testing. | 30Estimated | 39.0% | 6% | |
| Conduct automotive design reviews. | 50Estimated | 47.0% | 5% | |
| Provide technical direction to other engineers or engineering support personnel. | 20Estimated | 23.0% | 6% | |
| Develop engineering specifications or cost estimates for automotive design concepts. | 60Estimated | 51.0% | 5% | |
| Perform failure, variation, or root cause analyses. | 60Estimated | 51.0% | 6% | |
| Establish production or quality control standards. | 50Estimated | 47.0% | 4% | |
| Write, review, or maintain engineering documentation. | 58.35Observed | 72.5% | 4% | |
| Prepare or present technical or project status reports. | 53.05Observed | 36.2% | 4% | |
| Design vehicles that use lighter materials, such as aluminum, magnesium alloy, or plastic, to improve fuel efficiency. | 65Estimated | 53.0% | 3% | |
| Alter or modify designs to obtain specified functional or operational performance. | 60Estimated | 51.0% | 5% | |
| Coordinate production activities with other functional units, such as procurement, maintenance, or quality control. | 30Estimated | 27.0% | 4% | |
| Design or analyze automobile systems in areas such as aerodynamics, alternate fuels, ergonomics, hybrid power, brakes, transmissions, steering, calibration, safety, or diagnostics. | 60Estimated | 51.0% | 5% | |
| Conduct research studies to develop new concepts in the field of automotive engineering. | 40Estimated | 43.0% | 4% | |
| Research or implement green automotive technologies involving alternative fuels, electric or hybrid cars, or lighter or more fuel-efficient vehicles. | 58.83Observed | 50.5% | 3% | |
| Develop calibration methodologies, test methodologies, or tools. | 63.28Observed | 52.3% | 4% | |
| Create design alternatives for vehicle components, such as camless or dual-clutch engines or alternative air-conditioning systems, to increase fuel efficiency. | 55Estimated | 49.0% | 3% | |
| Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of new automotive technology or competitive products. | 30Estimated | 27.0% | 3% | |
| Calibrate vehicle systems, including control algorithms or other software systems. | 60Estimated | 51.0% | 4% | |
| Design control systems or algorithms for purposes such as automotive energy management, emissions management, or increased operational safety or performance. | 55Estimated | 49.0% | 4% | |
| Develop or implement operating methods or procedures. | 70.6Observed | 55.2% | 3% | |
| Develop or integrate control feature requirements. | 50Estimated | 47.0% | 3% | |
| Develop specifications for vehicles powered by alternative fuels or alternative power methods. | 50Estimated | 47.0% | 3% | |
| Build models for algorithm or control feature verification testing. | 55Estimated | 49.0% | 3% | |
| Design vehicles for increased recyclability or use of natural, renewable, or recycled materials in vehicle construction. | 55Estimated | 49.0% | 3% | |
| Research computerized automotive applications, such as telemetrics, intelligent transportation systems, artificial intelligence, or automatic control. | 45Estimated | 45.0% | 3% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
Score History
Risk score over 2 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
Related News
Recent articles about AI affecting this occupation
Volkswagen to cut 19,000 jobs by year-end amid auto industry shifts
The automaker's CEO confirmed massive impending layoffs, signaling severe contraction in traditional manufacturing roles. This scale of cuts highlights the precarious nature of legacy automotive jobs right now.

Tesla's AI and Autonomous Tech Pivot Signals Shift in Automotive Workforce
JPMorgan's massive price target hike for Tesla reflects a fundamental industry shift from hardware manufacturing to software and AI. Automotive careers will increasingly demand autonomous engineering skills over traditional mechanical expertise.

GM Engineers See Task Times Cut From 15 Hours to 1 Minute Using AI
General Motors has integrated machine learning into its vehicle development process, reducing complex simulation times by over 99%. This massive productivity leap fundamentally alters the daily workflows and output expectations for automotive engineers.

Stellantis and Qualcomm Partner to Accelerate Vehicle Automation
The automaker is modernizing its vehicle technology to rapidly advance self-driving capabilities. This push toward autonomous driving will likely shift automotive engineering demand away from mechanical roles and toward software integration.
XPeng's Mass-Produced Robotaxis Signal Shift in Autonomous Driving Jobs
The push toward mass-produced autonomous vehicles is accelerating, threatening traditional driving roles while creating new demands for engineers and fleet managers in the autonomous transit sector.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis