← Risk register SOC 39-1022 · reviewed 2026-08-11

First-Line Supervisors of Personal Service Workers

114,110 US workers · median $48,590/yr · Personal Care

EXPOSED

The modal worker here runs the floor of a salon, spa, fitness studio, or concierge/guest-services operation: scheduling staff, handling upset clients, training new hires, tracking retail inventory, and covering shifts hands-on. The paperwork half of the job — shift rosters, payroll prep, supply reordering, sales reporting, policy write-ups — is exactly what scheduling software plus AI already absorbs. What doesn't automate is standing on the floor at 6pm when a stylist no-shows, reading a client's mood before they escalate, and being the person the staff and the owner both hold responsible.

10-year outlook: The clerical half of this job gets swallowed by scheduling and POS automation within a decade, so headcount per site thins and the survivors are the ones licensed to work the floor and accountable for staff and client outcomes.

US employment, 2021–2025+12.9%
101,030114,110 workers

Headcount grew steadily across the period.

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing.

BLS projection, 2024–2034

+6.7%

Percentage only. The projection counts a different population from the 114,110 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Growing, and only partly exposed

The BLS expects +6.7% more of these jobs by 2034, and at 51/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~16,300 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

Care GuideBell CaptainSpa CoordinatorSalon CoordinatorAquatics SupervisorBarber Shop ManagerBeauty Shop ManagerHospitality ManagerClinical CoordinatorHair Salon SupervisorHome Care CoordinatorDirect Care SupervisorSummer Camp SupervisorBellhop Service CaptainCompanion Animal LeaderHousekeeping SupervisorResident Care SupervisorAnimal Trainer SupervisorClinical Care CoordinatorResident Care CoordinatorBar and Restaurant ManagerComfort Station SupervisorChild Care Worker SupervisorHospitality House Supervisor

Score — 51/100 resistance

Holding it up: embodiment (13/20). Weakest point: liability shield (4/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 11 + 13 + 4 + 11 + 12 = 51. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 11/20

Mixed — a routine tier and a judgment tier Roughly half the week — building rosters, prepping payroll hours, reordering shampoo and retail stock, writing the weekly sales recap — is already handled end-to-end by Mindbody, Booker, or Zenoti with AI demand forecasting, which pulls this below 14; what holds it at 11 is the live floor work: rebalancing a full book when a stylist calls out, coaching a new nail tech through a client complaint in real time, and walk-in triage that no queue algorithm resolves.

Embodiment 13/20

Hands-on in uncontrolled environments You are physically in the salon, spa, or club — walking the floor to check station sanitation and towel supply, demonstrating a service technique on an actual client, unlocking at 6am and closing the till at 9pm, and stepping into the chair or the front desk when someone doesn't show — but it's a controlled indoor site with predictable hazards, not a roof or a roadside, which is what separates 13 from an 18.

Liability shield 4/20

No licence, no signature requirement No supervisory licence exists for this role; the individual cosmetology, massage, or personal-training licence sits with the worker performing the service, and where a state requires a salon establishment licence it names the owner, so at most you hold a personal practitioner licence you may not even use daily — hence 4 rather than 0.

Trust premium 11/20

Some relationship component Regulars ask for you by name when their appointment goes wrong and your staff stay because of you specifically, but the client's actual bond is with the stylist, trainer, or therapist they book — you are the escalation point, not the service, which caps this at 11 rather than the 16 the practitioner beside you would earn.

Judgment & accountability 12/20

Meaningful discretion You decide who gets sent home, whether to comp a $200 service, whether to fire a popular technician over a hygiene violation, and how to handle a client alleging inappropriate touch — real calls with real cost — but the owner sets the pricing, the discount ceiling, and the termination policy you execute within, which is what puts this at 12 instead of 16.

Confidence: medium · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, physical-presence, trust

How to future-proof this job

Training paths for your skill gaps: edX — performance measurement and evaluation free to audit · Coursera — negotiation courses, audit free free to audit · MIT OpenCourseWare — finance and accounting free · edX — supply chain and inventory management free to audit · MIT OpenCourseWare — problem-solving and analytical method courses free · Khan Academy — mathematics, arithmetic through calculus free · Coursera — teaching and instructional design, audit free free to audit · Learning How to Learn — the most-taken course on Coursera, and free free to audit · Coursera — engineering and procurement courses, auditable without paying free to audit · MIT OpenCourseWare — systems analysis and engineering free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

First-Line Supervisors of Correctional Officers SAFE · 68/100 · you already have ~75% of the skill profile

Skills to close: Monitoring, Negotiation

Education and Childcare Administrators, Preschool and Daycare SAFE · 69/100 · you already have ~74% of the skill profile

Skills to close: Management of Financial Resources, Management of Material Resources, Complex Problem Solving, Mathematics

Coaches and Scouts SAFE · 68/100 · you already have ~73% of the skill profile

Skills to close: Instructing, Learning Strategies, Equipment Selection, Systems Analysis

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 67/100 — SAFE.

5 specific changes that would raise this score
  • already happening judgment accountability +4

    Predictive-scheduling ordinances (Oregon statewide, Seattle, NYC Fair Workweek, Chicago) plus emerging state bills restricting automated employment decisions (Colorado AI Act, NYC LL144, Illinois) make a human the required decision-maker of record for shift changes, discipline and hiring — the supervisor becomes the accountable signer for outputs a tool suggests.

  • already happening task resistance +3

    Scheduling, payroll prep, reorder and sales reporting are already largely absorbed by Mindbody/Booker/Zenoti plus AI assistants; once that tier is gone the residual day is escalation handling, on-floor coverage, hiring and discipline — a genuine two-tier job where the remaining tier is judgment. Watch for the shift showing up as fewer supervisors each covering more locations rather than a higher score for the same headcount.

  • already happening liability shield +3

    Med-spa scope-of-practice bills requiring an on-site designated supervisor accountable for delegated cosmetic procedures (injectables, lasers) — active in multiple state legislatures and pushed by AmSpa/dermatology boards. Applies only to the med-spa slice of this SOC.

  • plausible liability shield +4

    State cosmetology/barbering boards requiring a named licensed manager physically present and personally accountable for sanitation and infection-control violations — already the structure in states with 'salon manager license' or establishment-license rules (e.g., Texas TDLR salon licensing, Florida DBPR). Extension of that named-person rule to spa/med-spa adjacent services, or to fitness facilities under state health-club statutes, would raise it.

  • plausible trust premium +2

    Narrow route only: high-end salon/spa/concierge brands marketing a named on-floor manager as part of the service (the 'ask for the manager' relationship), plus franchise agreements mandating a certified on-site manager per location. This is a real but small premium and does not extend to mid-market chains.

The limit. The embodiment score is near its ceiling — the physical work is covering someone else's shift, which is real but not the occupation's core. And the biggest risk isn't AI doing this job, it's span-of-control expansion: software lets one supervisor run four sites instead of one, so scores per worker can rise while total employment falls. Licensing levers only touch the cosmetology/med-spa portion; fitness and hospitality concierge supervisors have essentially no liability-shield route.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 315 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 8,970 $58,720 +21%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 3,730 $51,560 +6%
Houston-Pasadena-The Woodlands, TX 3,330 $46,350 -5%
Los Angeles-Long Beach-Anaheim, CA 3,210 $56,280 +16%
Dallas-Fort Worth-Arlington, TX 3,100 $47,160 -3%
Washington-Arlington-Alexandria, DC-VA-MD-WV 3,010 $53,310 +10%
Chicago-Naperville-Elgin, IL-IN 2,240 $49,240 +1%
Miami-Fort Lauderdale-West Palm Beach, FL 2,140 $51,590 +6%

Best paid

Athens-Clarke County, GA 80 $71,840 +48%
San Jose-Sunnyvale-Santa Clara, CA 420 $64,490 +33%
Atlantic City-Hammonton, NJ 230 $63,900 +32%

Percentages are against this occupation's national median of $48,590. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 51. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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