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.
- Review, evaluate, accept, and coordinate completion of work bid from contractors.74
- Compute estimates and actual costs of factors such as materials, labor, or outside contractors.73
- Interpret specifications, blueprints, or job orders to construct templates and lay out reference points for workers.73
- Develop, implement, or evaluate maintenance policies and procedures.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.
- Meet with vendors or suppliers to discuss products used in repair work.01
- Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding equipment.02
- Inspect and monitor work areas, examine tools and equipment, and provide employee safety training to prevent, detect, and correct unsafe conditions or violations of procedures and safety rules.03
- Conduct or arrange for worker training in safety, repair, or maintenance techniques, operational procedures, or equipment use.04
- Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
First-Line Supervisors of Construction Trades and Extraction Workers
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Closely related work
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Related work
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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.
