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First-Line Supervisors of Personal Service Workers

Also called: Aquatics Supervisor, Clinical Care Coordinator, Direct Care Supervisor, Resident Care Supervisor

Supervise and coordinate activities of personal service workers.

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Median pay BLS, 2025$48,590
Openings a year BLS, 2025–3512,000
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 High
Projected job growth BLS, 2025–35 +6.3%

What the data says: AI could halve the time on 9 of its 17 tasks, yet jobs are projected to grow 6.3% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 3.8% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Supervisors of personal care and service workers”
  • From Sep 2025 to Aug 2026, 7.7 hires for every 10 job openings in other services, which employs about 42% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 30% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$37k$61knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$40,810$33,700 to $53,7701,280
Alaska$49,380$39,480 to $60,470330
Arizona$47,690$41,660 to $60,1101,620
Arkansas$39,420$33,840 to $51,270960
California$56,110$43,620 to $66,6509,390
Colorado$54,530$44,380 to $68,8703,160
Connecticut$52,720$42,920 to $70,4601,740
Delaware$48,940$38,710 to $63,680340
District of Columbia$56,670$48,070 to $73,690260
Florida$47,330$37,690 to $60,5906,250
Georgia$46,080$36,430 to $56,2302,790
Guam$30,250$25,360 to $33,51060
Hawaii$54,950$48,530 to $66,340740
Idaho$46,860$36,890 to $55,980700
Illinois$49,150$40,720 to $61,0102,670
Indiana$48,590$40,740 to $62,9301,950
Iowa$38,780$35,940 to $47,130770
Kansas$47,370$40,330 to $56,060270
Kentucky$41,490$36,280 to $55,700840
Louisiana$38,670$32,000 to $52,1101,330
Maine$52,780$45,960 to $60,360410
Maryland$51,510$43,760 to $63,8304,010
Massachusetts$53,740$44,690 to $70,3201,600
Michigan$42,740$37,060 to $53,0302,010
Minnesota$51,160$44,240 to $64,6602,530
Mississippi$37,910$32,070 to $48,510980
Missouri$43,720$37,310 to $51,1101,600
Montana$48,320$43,550 to $58,550360
Nebraska$46,010$38,580 to $54,080840
Nevada$44,290$35,140 to $56,5301,760
New Hampshire$50,580$44,690 to $63,880670
New Jersey$54,330$43,710 to $64,9904,640
New Mexico$49,100$37,210 to $58,620580
New York$58,900$45,460 to $70,6308,580
North Carolina$45,400$38,260 to $56,7803,510
North Dakota$50,390$40,210 to $55,950360
Ohio$39,660$34,660 to $54,0002,390
Oklahoma$37,390$31,760 to $51,7501,470
Oregon$58,240$47,790 to $62,0902,300
Pennsylvania$47,990$42,130 to $59,2708,980
Puerto Rico$31,100$24,190 to $38,040380
Rhode Island$60,680$50,370 to $61,450460
South Carolina$44,100$37,340 to $54,9802,040
South Dakota$49,860$43,880 to $59,860340
Tennessee$46,510$37,550 to $59,9301,980
Texas$45,560$35,130 to $59,35011,470
Utah$44,010$38,020 to $60,110930
Vermont$58,490$48,530 to $60,630200
Virginia$48,990$40,980 to $61,8602,950
Washington$59,980$51,200 to $70,1301,440
West Virginia$38,120$30,190 to $47,450400
Wisconsin$46,350$39,160 to $55,8904,740
Wyoming$45,610$32,510 to $60,800200

Nationally: $48,590. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 9 of its 17 tasks

4 · AI alone could halve the time 5 · AI + software built on it could 8 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Train workers in proper operational procedures and functions and explain company policies. Not published
Not much Meet with managers or other supervisors to stay informed of changes affecting operations. Not published
AI + software Assign work schedules, following work requirements, to ensure quality and timely delivery of service. Not published
Not much Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications. Not published
AI + software Inform management about problems, such as employee disputes. under 0.01%
Not much Participate in continuing education to stay abreast of industry trends and developments. Not published
See all 17 tasks
AI + software Investigate employee complaints and resolve problems following management rules and regulations. Not published
AI alone Apply customer feedback to service improvement efforts. under 0.01%
AI alone Resolve customer complaints regarding worker performance or services rendered. Not published
AI + software Recruit and hire staff members. Not published
Not much Take disciplinary action to address performance problems. Not published
Not much Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance. Not published
AI alone Inform workers about interests or special needs of specific groups. Not published
Not much Requisition necessary supplies, equipment, or services. Not published
AI + software Arrange worker breaks to ensure services are adequately staffed throughout each shift. Not published
Not much Direct or coordinate the activities of workers, such as hotel staff or hair stylists. Not published
AI alone Direct marketing, advertising, or other customer recruitment efforts. under 0.01%

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 3 of the 17 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 17 tasks fall under 14 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up9 of 17 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most4 of 14 activities
  • #3 Respond to customer problems or inquiries
  • #4 Maintain current knowledge in area of expertise
  • #12 Explain regulations, policies, or procedures
  • and 1 more, in the table below
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Respond to customer problems or inquiries 879#3 1,565#1
Maintain current knowledge in area of expertise 408#4 247#8
Explain regulations, policies, or procedures 131#12 119#15
Evaluate personnel capabilities or performance 1.94#201 0.78#175
Assign work to others 1.46#215 0.18#247
Purchase goods or services 47#36 0.39#220
Promote products, services, or programs 14#72 85#20
Communicate with others about operational plans or activities 9.39#92 28#39
Show all 14 activities
Investigate organizational or operational problems 7.23#108 2.15#125
Inspect facilities or equipment 2.73#174 0.73#181
Perform human resources activities 2.34#188 1.46#144
Train others on operational or work procedures 1.60#211 29#38
Inspect commercial, industrial, or production systems or equipment 0.84#245 0.32#232
Supervise personnel activities 0.56#266 0.05#283
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Assign work to others” holds 2 tasks rated AI + software, yet people asked AI for help with it in 1.46 of every 10,000 conversations, #215 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • An email or message32%
  • A document or report16%
  • Advice or a recommendation8%
  • Marketing or social media content6%
  • A plan or strategy6%

How they worked with Claude

47% handed the task off53% worked on it together

90% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for first-line supervisors of personal service workers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.First-line supervisors of personal service workers: +6.3%First-Line Supervisors of Personal Service WorkersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.First-line supervisors of personal service workers: +6.3%First-Line Supervisors of Personal Service Workers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 21,958 moves out

  1. 1 First-Line Supervisors of Retail Sales Workers High -3.7% 5%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 General and Operations Managers High +5.0% 5%
  4. 4 Medical and Health Services Managers High +24.2% 3%
  5. 5 Postsecondary Teachers, All Other Very high +2.0% 3%

Where people moved in from

of 15,916 moves in

  1. 1 First-Line Supervisors of Retail Sales Workers High -3.7% 5%
  2. 2 Retail Salespersons Very high -0.3% 4%
  3. 3 Hairdressers, Hairstylists, and Cosmetologists Moderate +7.7% 4%
  4. 4 Waiters and Waitresses Moderate +2.0% 4%
  5. 5 Customer Service Representatives Very high -5.3% 3%

The resume data uses 2010 occupation codes. This occupation comes from “First-Line Supervisors of Personal Service Workers”, which today also includes “First-line Supervisors of Entertainment and Recreation Workers, Except Gambling Services” and “First-line Supervisors of Passenger Attendants”, so these figures cover those too. Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 3% less than high school
  • 15% high school
  • 8% bachelor's
  • 3% master's
  • 72% not published

O*NET marks 72% of the answers as too uncertain to publish, so the parts shown don't add up to 100%.

O*NET 31.0 survey of workers in this occupation · 15 people answered.

Census survey (American Community Survey)

  • 3% less than high school
  • 33% high school
  • 34% some college
  • 10% associate's
  • 16% bachelor's
  • 2% master's
  • 1% doctorate

Census ACS 2024, all workers in the Census group “Supervisors of personal care and service workers” · 360 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in the Census group “Supervisors of personal care and service workers”

Programs that prepare people for it (NCES)
1 program: Salon/Beauty Salon Management/Manager.

Jobs that require a credential BLS Occupational Requirements Survey 2023

78.8% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license15.7%19.1%
a certification7.3%5.8%
an educational certificate2.8%2.8%

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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