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.
- Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.74
- Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work.74
- Train or instruct employees in job duties or company policies or arrange for training to be provided.74
- Discuss job performance problems with employees to identify causes and issues and to work on resolving problems.74
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.
- Coordinate or perform activities associated with shipping, receiving, distribution, or transportation.01
- Monitor inventory levels and requisition or purchase supplies as needed.02
- Supervise the work of office, administrative, or customer service employees to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems.03
- Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.04
- Resolve customer complaints or answer customers' questions regarding policies and procedures.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
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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.
