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Personal service supervisors

Official title First-Line Supervisors of Personal Service Workers (SOC 39-1022)

Also called Salon manager, Spa manager, Beauty salon supervisor, Fitness center supervisor, Hotel services supervisor

In brief

In May 2025, BLS counted 114,110 US personal service supervisors, with median pay of $48,590 a year. Of the BLS counts since 2021, the May 2025 count is the highest. The earliest figure here is an estimate of 18,000 from 1950, not measured the same way as today's count. The last full technology era for personal service supervisors: Cloud-based SaaS management platforms, 2010 to 2022.

What the sources say

Official outlook

BLS projects employment to grow 6.3% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Personal service supervisors: jobs and pay since 1950 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/39-1022

Chicago

Future History. "Personal service supervisors: jobs and pay since 1950." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/39-1022.

BibTeX

@misc{futurehistory_39_1022, author = {{Future History}}, title = {Personal service supervisors: jobs and pay since 1950}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/39-1022}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
19001925195019752000now
2026
Known then as Salon proprietress / salon directress (early franchise era)
Known then as Head beautician / salon head / shop foreman (state-licensing era)
Known then as Salon manager / barbershop manager / service department supervisor
Known then as Personal services supervisor / spa director / fitness supervisor (wellness boom era)
Known then as First-Line Supervisors of Personal Service Workers (BLS SOC 39-1022)
Known today as First-Line Supervisors of Personal Service Workers (BLS SOC 39-1022)
Projected to still be called First-Line Supervisors of Personal Service Workers (BLS SOC 39-1022)
Data from the May 2025 survey
US Employment
114K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$48,590
Est.

≈ $47,344 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1888

Martha Matilda Harper opens the Harper Method Hair Parlour in Rochester, New York, using her life savings of $360. Harper, a former domestic servant, invents the reclining shampoo chair and establishes the first public hair salon in the US (previous hairdressers made house calls). By 1891, she opens the first franchise branch in Buffalo and begins building an international network. At its peak the Harper Method operates over 500 franchised salons worldwide; she personally trains franchisees and inspects each salon. Harper is inducted into the National Women's Hall of Fame in 2003.

Beat · 1927

North Dakota passes one of the first US state cosmetology licensing laws, creating the State Board of Hairdressers and Cosmetology. The law mandates training requirements, licensing exams, sanitation standards, and creates an enforcement mechanism for salon operations. Within two decades, every US state follows with its own cosmetology board. The creation of licensing infrastructure formalized the salon supervisor as the party legally accountable for worker credentials and regulatory compliance within their establishment.

Beat · 1978

The number of private fitness clubs in the US reaches approximately 3,000, with an estimated 1.7 million members (up from near-zero in the early 1960s). The fitness club industry, which will grow to 20,000 clubs and 42.7 million members by 2006, begins creating a new category of personal service supervisor: the fitness floor supervisor, responsible for certifying instructors, managing class schedules, and ensuring equipment safety and sanitation standards. This expansion broadens the personal service supervisor role beyond the salon and barbershop context that had dominated it for decades.

Beat · 1992

Paid employees in US fitness clubs stood at approximately 130,000 in 1992, rising to 330,000 by 2002. The decade of the 1990s represents the most rapid expansion of the personal services sector in US history: the number of fitness clubs grows from roughly 3,000 (1978) to 20,000 (2002); the spa industry doubles; nail salons proliferate; and hotel wellness programs proliferate as the hospitality industry reframes health and beauty services as amenities rather than luxuries. Personal service supervisors at every level of this expansion absorbed a growing span of responsibility.

Beat · 2020

COVID-19 forces the closure of salons, spas, barbershops, fitness clubs, and hotel personal-service departments across every US state during the spring and summer of 2020. Personal service workers suffered one of the highest unemployment rates of any occupational group during the pandemic; supervisors faced not only their own income disruption but the complex compliance challenge of tracking rapidly changing state-by-state reopening rules and implementing new sanitation protocols. BLS later reported that personal care service employment fell by over one million positions during the 2020 COVID contraction before beginning recovery in late 2020 and 2021.

Beat · 2024

The Global Wellness Institute reports the global wellness economy reached $6.8 trillion in 2024, with the spa sector growing 14.6 percent and wellness tourism growing 13.8 percent year-over-year. Personal service supervisor employment in the US has largely recovered from the 2020 COVID collapse and stands at 149,100 with a median annual wage of $47,080. BLS projects the occupation will grow 6.7 percent from 2024 to 2034, faster than the all-occupations average, driven by continued wellness sector expansion and strong replacement demand.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace personal service supervisors? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+6.3%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 39-1022 (First-line supervisors of personal service workers): 122.5 thousand jobs in 2025, projected 130.2 thousand in 2035, a change of +7.7 thousand (+6.3%). Matrix employment counts all jobs in the occupation, including self-employed workers (3.7% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
36.2%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 39-1022.00 First-Line Supervisors of Personal Service Workers. Shown: human-rated β = 0.362, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.241 and γ (all LLM-assisted) 0.483; GPT-4-rated β 0.414. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for personal service supervisors

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereOversee automated client rebooking and waitlist management, reviewing AI-generated appointment recovery sequences to ensure tone and timing are appropriate, and manually intervening for high-value clients or delicate situations.

Oversee automated client rebooking and waitlist management, reviewing AI-generated appointment recovery sequences to ensure tone and timing are appropriate, and manually intervening for high-value clients or delicate situations.[5],[6]

Where your edge is

Set review triggers for AI-drafted client messages before they send. Establish clear rules for which client segments receive automated outreach versus personal calls from a named staff member.

AI is sitting alongside you hereBuild and publish staff schedules using AI-assisted scheduling tools, balancing stylist availability, service duration, and revenue-per-hour targets to minimize gaps and avoid overtime.

Build and publish staff schedules using AI-assisted scheduling tools, balancing stylist availability, service duration, and revenue-per-hour targets to minimize gaps and avoid overtime.[7],[1]

Where your edge is

Learn to interpret AI scheduling suggestions critically: override when the tool lacks context about a staff member's skills or a client relationship that requires continuity.

AI is sitting alongside you hereMonitor real-time staff performance metrics (booking fill rate, retail sales per provider, client retention score) via analytics dashboards and act on outliers before they affect revenue.

Monitor real-time staff performance metrics (booking fill rate, retail sales per provider, client retention score) via analytics dashboards and act on outliers before they affect revenue.[8],[9]

Where your edge is

Use AI-generated performance flags as conversation starters with staff, not verdicts. Pair data with direct observation to distinguish a bad week from a persistent pattern.

Where personal service supervisors go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

General and Operations Managers

General and Operations Managers require the same multi-team coordination and service-quality ownership but at a larger scale. Supervisors who take on P&L responsibility at a single location or across multiple sites are essentially doing this role, and the transition often happens organically in growing salon or wellness chains.

What you'd add
  • · P&L reading and basic financial modeling
  • · Multi-location operations and vendor management
  • · Strategic planning and KPI-setting for service businesses
  • · Business management coursework or an associate degree in business
What it takesA real upskill, but a natural one
Tools of the era

How has the work of personal service supervisors changed since 1888?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Manual ledger + apprenticeship (pre-licensing proprietress era)

    The original personal service supervisor operated entirely through embodied knowledge and personal authority. Service protocols were passed orally from experienced practitioners to apprentices; scheduling was tracked in handwritten appointment books; payroll was calculated from memory and ledger. Martha Harper trained her franchisees directly, traveling to inspect salons and enforce the Harper Method standards. There was no formal credential, no standardized training hour requirement, and no regulatory body to appeal to. The supervisor's authority derived entirely from expertise and ownership.

  • State licensing boards + standardized curriculum (regulatory credentialing era)

    North Dakota's 1927 cosmetology licensing law and Pennsylvania's 1933 Beauty Culture Law were among the first formal credentialing frameworks in the US; by the mid-20th century every state had a cosmetology board. Licensing created a new supervisory layer: the licensed operator or salon director who was legally responsible for ensuring every worker on the floor held a current state license and operated within the sanitation and safety rules the board enforced. The supervisor became a compliance function as much as a coaching function, responsible for tracking license renewals, posting regulations, and representing the establishment in board inspections.

    Effect on the work

    State licensing requirements raised the barrier to entry for workers while formalizing the supervisor's quasi-regulatory role within the establishment. By the 1950s, the "head beautician" or "salon manager" was a recognized occupational category in the Census, distinct from both the individual stylist and the business owner.

  • Appointment books + cash register + basic POS (paper-based operations era)

    Through the 1970s and 1980s, salon and personal service supervisors operated with paper appointment books, physical client cards (index cards or filing systems recording client preferences, color formulas, or health notes), manual cash registers, and physical time sheets for payroll. Scheduling was a skilled manual task: the supervisor had to hold in mind the duration of each service, the available chairs, the skill levels of each stylist, and the client relationships that required continuity between practitioner and customer. No software existed to optimize this puzzle; it was solved by the supervisor's memory and judgment every day.

  • Salon management software + electronic POS (Millennium, Salon Iris, early digital era)

    Dedicated salon management software products appeared in the mid-1990s. Millennium Software (founded 1987, grew through the 1990s) and Salon Iris were among the early category leaders; by 2000 cloud-based and Windows-based salon scheduling, client management, and point-of-sale systems had replaced most paper appointment books in multi-worker establishments. For the personal service supervisor, this was the first technology that transferred a meaningful cognitive load to software: appointment scheduling, automated reminders, inventory tracking, and basic reporting (revenue per stylist, booking fill rates) moved from the supervisor's memory into a database. The role shifted from sole memory-keeper to interpreter and act-upon-er of software outputs.

    Effect on the work

    Salon management software reduced the time required for administrative tasks (scheduling, invoicing, payroll calculation) by an estimated one to three hours per day for a salon manager, freeing capacity for floor supervision and staff development. It did not reduce the need for supervisors but changed how they spent their time.

  • Cloud-based SaaS management platforms (Zenoti, MindBody, Boulevard, Vagaro)

    Cloud-based platforms transformed the operational toolkit available to personal service supervisors. Zenoti (founded 2010, targeting spas and salons), MindBody (fitness and wellness, public since 2015), Boulevard, and Vagaro provided scheduling, payment processing, automated rebooking, loyalty programs, online booking, and staff performance dashboards accessible from any device. For the first time, a supervisor could monitor real-time booking fill rates, per-stylist revenue, and client retention metrics from a smartphone rather than only from a desk terminal. The platforms also enabled multi-location oversight: a district supervisor could compare performance across twenty salons from a single dashboard, which expanded the span of control one supervisor could reasonably manage.

  • AI workforce and analytics tools (Zenoti AI Workforce, GlossGenius Growth Analyst, Homebase AI)

    From 2023, purpose-built AI tools for personal service businesses began automating front-desk functions that supervisors had historically overseen. Zenoti's AI Workforce (launched September 2025) handles inbound calls 24/7, identifies missed booking opportunities, and generates personalized marketing; GlossGenius's Growth Analyst answers natural-language performance questions without manual reporting; Homebase's AI Scheduling Assistant generates optimized shift schedules accounting for demand, availability, and labor budgets. For the personal service supervisor, these tools continue a long trend toward transferring cognitive overhead to software while concentrating the remaining human work in the tasks that AI cannot yet replicate: staff coaching, escalated client complaint resolution, tactile service quality assessment, and the interpersonal judgment that makes a team function rather than merely show up.

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First-Line Supervisors of Personal Service Workers employment and pay by year

On record since1888
Latest US employment114,110 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$48,590 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+6.3% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 9 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
195018,000n/aEst., IPUMS USA Researched contextReport
199265,000n/aEst., IHRSA Researched contextReport
2000n/a$27,000Est., University of Missouri Libraries Researched contextReport
2002105,000n/aEst., ClubReady / IHRSA Researched contextReport
2021101,030$40,390BLS OEWS May 2021 Official statisticReport
2022104,480$43,680BLS OEWS May 2022 Official statisticReport
2023106,440$46,690BLS OEWS May 2023 Official statisticReport
2024107,060$47,080BLS OEWS May 2024 Official statisticReport
2025114,110$48,590BLS OEWS May 2025 Official statisticReport
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