Civil Engineers
Overall Exposure
2025 vs 2023
Theoretical Exposure
45What AI could do
Observed Exposure
14What AI actually does
Automation Risk Score
22Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as a Civil Engineers, AI is reshaping your profession. With an automation risk of 22/100 and overall exposure at 28%, this role faces low transformation. The highest-impact area is run simulations at 55% automation. This is classified as an 'augment' role. BLS projects +5% growth through 2034. Professionals who embrace AI tools will see their capabilities significantly amplified.
ISCO-08 classification
Civil Engineers
Definition
ILO original text (English)
Civil engineers conduct research, advise on, design, and direct construction; manage the operation and maintenance of civil engineering structures; or study and advise on technological aspects of particular materials.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET17-2051.00
Civil Engineers
Perform engineering duties in planning, designing, and overseeing construction and maintenance of building structures and facilities, such as roads, railroads, airports, bridges, harbors, channels, dams, irrigation projects, pipelines, power plants, and water and sewage systems.
View original - ONET17-2051.01
Transportation Engineers
Develop plans for surface transportation projects, according to established engineering standards and state or federal construction policy. Prepare designs, specifications, or estimates for transportation facilities. Plan modifications of existing streets, highways, or freeways to improve traffic flow.
View original
Frequently Asked Questions
With an automation risk score of 22%, Civil Engineers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
Our estimated AI automation risk score for Civil Engineers is 22% for 2025. Estimated overall AI exposure is 28%, with 45% theoretical exposure and 14% observed exposure. The estimated risk trend from 2023 to 2025 is +6 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Civil Engineers are: Run simulations (55%), Design structural plans (40%), Inspect construction sites (5%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a +5% employment change for Civil Engineers between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 28%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Civil Engineers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.