How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Direct engineering activities, ensuring compliance with environmental, safety, or other governmental regulations.76
- Compute load and grade requirements, water flow rates, or material stress factors to determine design specifications.72
- Analyze survey reports, maps, drawings, blueprints, aerial photography, or other topographical or geologic data.72
- Test soils or materials to determine the adequacy and strength of foundations, concrete, asphalt, or steel.72
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Direct or participate in surveying to lay out installations or establish reference points, grades, or elevations to guide construction.01
- Inspect project sites to monitor progress and ensure conformance to design specifications and safety or sanitation standards.02
- Provide technical advice to industrial or managerial personnel regarding design, construction, program modifications, or structural repairs.03
- Compute load and grade requirements, water flow rates, or material stress factors to determine design specifications.04
- Manage and direct the construction, operations, or maintenance activities at project site.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Civil Engineering Technologists and Technicians
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Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
