US dataswitch to UK
First-Line Supervisors of Housekeeping and Janitorial Workers
supervising in-house services, such as laundries, inventorying stock to ensure that supplies and equipment are available in adequate amounts and issuing supplies and equipment to workers. If that's your week, this page is about your job.
The honest answer
AI is already taking a real slice of the routine work here: preparing reports on activity, personnel and information, such as occupancy, hours worked, facility usage, work performed and departmental expenses. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, performing or assisting with cleaning duties, stays yours. New tools, same person answering for it.
Your week, as this page understands it
Directly supervise and coordinate work activities of cleaning personnel in hotels, hospitals, offices, and other establishments. The job title says “first-line supervisors of housekeeping” or “janitorial workers”: officially one job, two names. The real job is the part underneath: performing or assisting with cleaning duties. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But first-line supervisors of housekeeping and janitorial workers is not one task. It is 26 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is performing or assisting with cleaning duties, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 17%
- changing shape
- 20%
- staying human
- 63%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 35 out of 100 (30–41 allowing for uncertainty): low exposure, across 26 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for first-line supervisors of housekeeping and janitorial workers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- 2 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
5 tasksTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Forecasting necessary levels of staffing and stocking at different times to facilitate effective scheduling and ordering
This is reading one thing and writing another: necessary levels in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Forecast necessary levels of staffing and stock at different times to facilitate effective scheduling and ordering.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Forecasting from occupancy patterns is data work, though local knowledge of the crew matters.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing reports on activity, personnel and information, such as occupancy, hours worked, facility usage, work performed and departmental expenses
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Prepare reports on activity, personnel, and information, such as occupancy, hours worked, facility usage, work performed, and departmental expenses.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling occupancy, hours and expenses into a report is routine automation.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Planning and preparing employee work schedules
This is reading one thing and writing another: employee work schedules in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Plan and prepare employee work schedules.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Staff rotas are a scheduling puzzle that software solves quickly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Maintaining required records of work hours
This is reading one thing and writing another: required records of work hours in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Maintain required records of work hours, budgets, payrolls, and other information.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Timekeeping and payroll records are already largely automated.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Changing shape
5 tasksTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Recommending or arranging for additional services
The software now makes the first pass at additional services, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Recommend or arrange for additional services, such as painting, repair work, renovations, and the replacement of furnishings and equipment.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Spotting the need and arranging quotes for repairs or redecoration is mostly paperwork and phone calls.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Selecting the most suitable cleaning materials for different types of linens
The software now makes the first pass at the most suitable cleaning materials, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Select the most suitable cleaning materials for different types of linens, furniture, flooring, and surfaces.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Which product suits which surface is well documented, though you need to see the surface.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recommending changes that could improve service and increase operational efficiency
The software now makes the first pass at changes, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Recommend changes that could improve service and increase operational efficiency.” (O*NET task statement)
How this row was scored
Exposure score: 57 out of 100 (50–64 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Suggestions can be drafted from the numbers, but what actually works here is local knowledge.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Staying human
16 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Inspecting work performed to ensure that it meets specifications and established standards
This work happens in the physical world: work, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inspect work performed to ensure that it meets specifications and established standards.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking that a room was cleaned properly means looking at it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing or assisting with cleaning duties
This work happens in the physical world: cleaning duties, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Perform or assist with cleaning duties as necessary.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning is done by hand.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Issuing supplies and equipment to workers
This work happens in the physical world: supplies, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Issue supplies and equipment to workers.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Handing out supplies and equipment to workers is physical work done in the kennels.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Show the other 16 tasks
Performing financial tasks, such as estimating costs and preparing and managing budgets
shifting to AIThis is reading one thing and writing another: financial tasks in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Perform financial tasks, such as estimating costs and preparing and managing budgets.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Cost estimates and budgets are standard spreadsheet work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selecting and ordering or purchasing new equipment
changing shapeThe software now makes the first pass at new equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Select and order or purchase new equipment, supplies, or furnishings.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing products and placing orders is documented purchasing work, though furnishings get judged in person.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Establishing and implementing operational standards and procedures for the departments
changing shapeThe software now makes the first pass at operational standards, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Establish and implement operational standards and procedures for the departments supervised.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Written standards and procedures are drafted easily from documented practice.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Screening job applicants and hiring new employees
staying humanThe value here is that a specific person handles job applicants and stands behind it. That is earned, not computed.
importance 4 · SupplementalSource: “Screen job applicants, and hire new employees.” (O*NET task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Screening is easy to automate; the hiring decision and the interview are still human.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Inventorying stock to ensure that supplies and equipment are available in adequate amounts
staying humanThis work happens in the physical world: stock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inventory stock to ensure that supplies and equipment are available in adequate amounts.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Stock records can be automated, but counting what is on the shelf is physical.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising managers, desk clerks or admitting personnel of rooms ready for occupancy
staying humanThis work happens in the physical world: managers, desk clerks or admitting personnel of rooms, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Advise managers, desk clerks, or admitting personnel of rooms ready for occupancy.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: The status update is easy to send, but someone has to check the rooms first.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating activities with other departments to ensure that services are provided in an efficient and timely manner
staying humanThe value here is that a specific person handles activities and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Coordinate activities with other departments to ensure that services are provided in an efficient and timely manner.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Keeping departments in step depends on ongoing working relationships.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Directing activities for stopping the spread of infections in facilities
staying humanThis work happens in the physical world: activities, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Direct activities for stopping the spread of infections in facilities, such as hospitals.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Protocols are published, but stopping an outbreak means directing real cleaning in real rooms.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Investigating complaints about service and equipment
staying humanThis work happens in the physical world: complaints, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Investigate complaints about service and equipment, and take corrective action.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Software can log and sort complaints, but checking the room and putting it right is physical.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Instructing staff in work policies and procedures
staying humanThis work happens in the physical world: staff, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Instruct staff in work policies and procedures, and the use and maintenance of equipment.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Showing someone how to use a machine safely happens alongside them.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Evaluating employee performance and recommending personnel actions
staying humanThe value here is that a specific person handles employee performance and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Evaluate employee performance and recommend personnel actions, such as promotions, transfers, and dismissals.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Records can be summarized, but judging a person's work and recommending action stays with the supervisor.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Conferring with staff to resolve performance and personnel problems
staying humanThe value here is that a specific person handles staff and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Confer with staff to resolve performance and personnel problems, and to discuss company policies.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Difficult conversations with staff depend on a relationship built face to face.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Supervising in-house services, such as laundries, maintenance and repair, dry cleaning or valet services
staying humanThis work happens in the physical world: in-house services, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Supervise in-house services, such as laundries, maintenance and repair, dry cleaning, or valet services.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Running laundry and valet services means being in the building watching the work.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Inspecting and evaluating the physical condition of facilities to determine the type of work
staying humanThis work happens in the physical world: the physical condition of facilities, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inspect and evaluate the physical condition of facilities to determine the type of work required.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Judging what work a building needs means walking it.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Checking and maintaining equipment to ensure that it is in working order
staying humanThis work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Check and maintain equipment to ensure that it is in working order.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Machines are checked and fixed with hands, not from a screen.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing grounds maintenance tasks, such as removing snow and mowing the lawn
staying humanThis work happens in the physical world: grounds maintenance tasks, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Perform grounds maintenance tasks, such as removing snow and mowing the lawn.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Snow and grass are dealt with by hand or machine, outdoors.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
What this job pays, and how many people do it
- Median pay
- $49,100a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 178,760in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: necessary levels in, a record out. The rows above are exactly that shape: preparing reports on activity, personnel and information and forecasting necessary levels of staffing and stocking at different times to facilitate effective scheduling and ordering. What it cannot do is be there in the room, and that is still where cleaning duties get done. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Start with what does not change: performing or assisting with cleaning duties is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 17% of this job's task weight sits in rows the software is already learning, 20% in rows that change shape rather than disappear, and 63% in rows it is nowhere near. That is the position, measured across 26 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Preparing reports on activity, personnel and information, such as occupancy, hours worked, facility usage, work performed and departmental expenses is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to necessary levels, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether cleaning duties are in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near recommending or arranging for additional services. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to first-line supervisors of housekeeping and janitorial workers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was first-line supervisors of landscaping, lawn service, and groundskeeping workers: only about 12% of its durable work is work you already do. And on the numbers you do not need one. This job scores 35/100 here, with only 17% of the task list in the top band, and “inspect work performed to ensure that it meets specifications and established standards” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already inspect work performed to ensure that it meets specifications and established standards, and their equivalent is to inspect completed work to ensure conformance to specifications, standards, and contract requirements. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Dispatchers, Except Police, Fire, and Ambulance
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already issue supplies and equipment to workers, and their equivalent is to order supplies or equipment and issue them to personnel. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 96% of its own task list already scores in the top exposure band (76/100 in this release), so the same software is eating it.
First-Line Supervisors of Production and Operating Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already coordinate activities with other departments to ensure that services are provided in an…, and their equivalent is to confer with other supervisors to coordinate operations and activities within or between departments. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 17% of its task weight, across 26 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like performing or assisting with cleaning duties arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
If you run a team doing this job
If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are preparing reports on activity, personnel and information, such as occupancy, hours worked, facility usage, work performed and departmental expenses, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.
You are reading the United States figures
The nearest United Kingdom equivalent is Cleaning and housekeeping managers and supervisors. It is a close match rather than an identical one: the two countries draw the boundary of the job in slightly different places.
Switch to the United Kingdom page →close match
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for first-line supervisors of housekeeping / janitorial workers, and we are not going to point you at the nearest one and call it a fit.
There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 17% of the work on this page is already inside what they can do.
7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.
The AI Authority is a general community about working with AI, not a course for first-line supervisors of housekeeping / janitorial workers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.
Noted, and thank you. We’ll email you if a Space for first-line supervisors of housekeeping / janitorial workers launches. Nothing else.
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No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace First-Line Supervisors of Housekeeping and Janitorial Workers?
- Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for First-Line Supervisors of Housekeeping and Janitorial Workers (United States, SOC 37-1011), 17% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 35 out of 100 (range 30–41, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “First-Line Supervisors of Housekeeping and Janitorial Workers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Maintain required records of work hours, budgets, payrolls, and other information” (93/100, very high); “Prepare reports on activity, personnel, and information, such as occupancy, hours worked, facility usage, work performed, and departmental expenses” (93/100, very high); “Plan and prepare employee work schedules” (79/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “First-Line Supervisors of Housekeeping and Janitorial Workers” stay human?
- About 63% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Perform grounds maintenance tasks, such as removing snow and mowing the lawn” (0/100, minimal); “Check and maintain equipment to ensure that it is in working order” (0/100, minimal); “Issue supplies and equipment to workers” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “First-Line Supervisors of Housekeeping and Janitorial Workers” do about AI?
- Start from the ledger rather than the headline: 17% of this job's weighted core work is exposed, and roughly 63% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for First-Line Supervisors of Housekeeping and Janitorial Workers calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 26 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
Worth knowing about these figures
- 2 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.