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 work throughout the work process and at completion to ensure that it has been performed properly.73
- Inform designated employees or departments of items loaded or problems encountered.73
- Inventory supplies and requisition or purchase additional items, as necessary.73
- Check specifications of materials loaded or unloaded against information contained in work orders.73
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.
- Schedule times of shipment and modes of transportation for materials.01
- Inspect job sites to determine the extent of maintenance or repairs needed.02
- Maintain a safe working environment by monitoring safety procedures and equipment.03
- Collaborate with workers and managers to solve work-related problems.04
- Review work throughout the work process and at completion to ensure that it has been performed properly.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 Mechanics, Installers, and Repairers
Closely related work
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Closely related work
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Closely related work
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Related work
Compare these careers →First-Line Supervisors of Farming, Fishing, and Forestry Workers
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Compare these careers →First-Line Supervisors of Housekeeping and Janitorial Workers
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.
