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.
- Prepare estimates for use in selecting vendors or subcontractors.81
- Prepare cost and expenditure statements and other necessary documentation at regular intervals for the duration of the project.81
- Analyze blueprints and other documentation to prepare time, cost, materials, and labor estimates.80
- Review material and labor requirements to decide whether it is more cost-effective to produce or purchase components.80
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.
- Establish and maintain tendering process, and conduct negotiations.01
- Consult with clients, vendors, personnel in other departments, or construction foremen to discuss and formulate estimates and resolve issues.02
- Prepare estimates used by management for purposes such as planning, organizing, and scheduling work.03
- Assess cost effectiveness of products, projects or services, tracking actual costs relative to bids as the project develops.04
- Confer with engineers, architects, owners, contractors, and subcontractors on changes and adjustments to cost estimates.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Logistics Engineers
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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.
