π‘ Civil Engineers have a composite risk score of 32/100 (Frey-Osborne probability: 2%, GenAI exposure: 71/100). With 355,410 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 355,410 workers and a median wage of $100K,civil engineers represent a significant portion of the US workforce. Their GenAI exposure index is 71%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
32/100
Employment
355,410
Median Wage
$100K
GenAI Exposure
71%
β οΈ Top Risk Factors
Large language model automation of analysis tasks
Simulation and digital twin automation
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Novel engineering design for unprecedented challenges
On-site problem-solving in variable physical conditions
Cross-disciplinary collaboration on complex projects
Safety-critical judgment in design review
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
84% skills overlap Β· $106K median wage
Electronics Engineers, Except Computer
81% skills overlap Β· $128K median wage
Chemical Engineers
79% skills overlap Β· $122K median wage
β Frequently Asked Questions
Will AI completely replace civil engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for civil engineers?
Civil Engineers have a composite AI automation risk score of 32 out of 100, classified as "Moderate".
How many civil engineers are there in the US?
There are approximately 355,410 civil engineers employed in the United States.
What do civil engineers earn?
The median annual wage for civil engineers is $100K.
What skills should civil engineers develop?
Focus on tasks AI can't easily replicate: novel engineering design for unprecedented challenges, on-site problem-solving in variable physical conditions, cross-disciplinary collaboration on complex projects, safety-critical judgment in design review. These human-centric skills will become more valuable as routine tasks are automated.