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.
- Evaluate environmental regulations or social pressures related to environmental issues to inform strategic or operational decision-making.74
- Perform administrative functions, such as reviewing or writing reports, approving expenditures, enforcing rules, or purchasing of materials or services.73
- Solicit project support by conferring with officials or providing information to the public.73
- Develop or implement policies, standards, or procedures for engineering and technical work.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.
- Plan or direct the installation, testing, operation, maintenance, or repair of facilities or equipment.01
- Manage the coordination and overall integration of technical activities in architecture or engineering projects.02
- Assess project feasibility by analyzing technology, resource needs, or market demand.03
- Confer with management, production, or marketing staff to discuss project specifications or procedures.04
- Consult or negotiate with clients to prepare project specifications.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Industrial Engineers
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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.
