π‘ Engineers have a composite risk score of 20/100 (Frey-Osborne probability: 3%, GenAI exposure: 35/100). With 1,746,750 workers in the US, this occupation remains well-protected against automation. Full occupation profile β
π― The Verdict
Unlikely. This occupation has strong defenses against automation.
With 1,746,750 workers and a median wage of $106K,engineers represent a significant portion of the US workforce. Their GenAI exposure index is 35%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
20/100
Employment
1,746,750
Median Wage
$106K
GenAI Exposure
35%
β οΈ Top Risk Factors
AI-assisted CAD and generative design tools
AI-optimized manufacturing process design
Robotic inspection and testing automation
π‘οΈ Tasks AI Can't Easily Replace
Cross-disciplinary collaboration on complex projects
Client communication and technical consultation
Safety-critical judgment in design review
On-site problem-solving in variable physical conditions
Novel engineering design for unprecedented challenges
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Architects, Except Landscape and Naval
70% skills overlap Β· $97K median wage
Computer and Information Research Scientists
65% skills overlap Β· $141K median wage
Electronics Engineers, Except Computer
80% skills overlap Β· $128K median wage
β Frequently Asked Questions
Will AI completely replace engineers?
Unlikely. This occupation has strong defenses against automation.
What is the AI risk score for engineers?
Engineers have a composite AI automation risk score of 20 out of 100, classified as "Low Risk".
How many engineers are there in the US?
There are approximately 1,746,750 engineers employed in the United States.
What do engineers earn?
The median annual wage for engineers is $106K.
What skills should engineers develop?
Focus on tasks AI can't easily replicate: cross-disciplinary collaboration on complex projects, client communication and technical consultation, safety-critical judgment in design review, on-site problem-solving in variable physical conditions, novel engineering design for unprecedented challenges. These human-centric skills will become more valuable as routine tasks are automated.