AI exposure by occupation, O*NET 39-1022.00

Will AI replace First-Line Supervisors of Personal Service Workers?

First-Line Supervisors of Personal Service Workers: AI can already handle 1 of 17 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 17 tasks O*NET 30.3 lists for First-Line Supervisors of Personal Service Workers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications. 65 Estimated Standard 4.1
Direct or coordinate the activities of workers, such as hotel staff or hair stylists. 50 Estimated Frontier 4.0
Participate in continuing education to stay abreast of industry trends and developments. 50 Estimated Standard 4.0
Train workers in proper operational procedures and functions and explain company policies. 35 Estimated Efficient 4.5
Meet with managers or other supervisors to stay informed of changes affecting operations. 30 Estimated Efficient 4.4
Assign work schedules, following work requirements, to ensure quality and timely delivery of service. 30 Estimated Standard 4.4
Recruit and hire staff members. 30 Estimated Standard 4.3
Resolve customer complaints regarding worker performance or services rendered. 30 Estimated Efficient 4.3
Take disciplinary action to address performance problems. 30 Estimated Efficient 4.2
Investigate employee complaints and resolve problems following management rules and regulations. 30 Estimated Efficient 4.1
Inform management about problems, such as employee disputes. 30 Estimated Efficient 4.0
Arrange worker breaks to ensure services are adequately staffed throughout each shift. 30 Estimated Standard 3.9
Apply customer feedback to service improvement efforts. 30 Estimated Efficient 3.9
Inform workers about interests or special needs of specific groups. 30 Estimated Efficient 3.8
Requisition necessary supplies, equipment, or services. 30 Estimated Standard 3.7
Direct marketing, advertising, or other customer recruitment efforts. 30 Estimated Standard 3.4
Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance. 20 Estimated Efficient 4.1

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 94% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
114,110
Median annual wage
$48,590
Middle half of earners
$39,050 to $61,100
Projected change, 2024 to 2034
+6.7%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about First-Line Supervisors of Personal Service Workers and AI

Will AI replace First-Line Supervisors of Personal Service Workers?

AI already handles 1 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 34 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +6.7% from 2024 to 2034.

What is the AI exposure of First-Line Supervisors of Personal Service Workers?

34 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.

Which First-Line Supervisors of Personal Service Workers tasks can AI already do?

The tasks with the highest exposure are: Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications. It is the only task that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 94% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as First-Line Supervisors of Personal Service Workers, and what do they earn?

114,110 people in the United States, with a median annual wage of $48,590 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +6.7% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: First-Line Supervisors of Personal Service Workers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/first-line-supervisors-of-personal-service-workers

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