US dataswitch to UK

First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services

analyzing and recording personnel or operational data and writing related activity reports, informing workers about interests or special needs of specific groups and collaborating with staff members to plan or develop programs of events or schedules of activities. 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: analyzing and recording personnel or operational data and writing related activity reports. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 16%
changing shape: 21%
staying human: 63%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 32 out of 100 (25–39 allowing for uncertainty): low exposure, across 19 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 entertainment and recreation workers, except gambling services 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.

That slice is not coming back; the core of the job, inspecting work areas or operating equipment to ensure conformance to established standards in areas, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Directly supervise and coordinate activities of entertainment and recreation related workers. The job title says “first-line supervisors of entertainment”, “recreation workers” or “except gambling services”: officially one job, several names. The real job is the part underneath: inspecting work areas or operating equipment to ensure conformance to established standards in areas. 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 entertainment and recreation workers, except gambling services is not one task. It is 19 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is inspecting work areas or operating equipment to ensure conformance to established standards in areas, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 16%
changing shape: 21%
staying human: 63%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

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.

Shifting to AI

3 tasks

Tasks 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.

Analyzing and recording personnel or operational data and writing related activity reports
This is reading one thing and writing another: personnel in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Analyze and record personnel or operational data and write related activity reports.” (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: Pulling operational figures into an activity report is straightforward paperwork software handles quickly.
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.
Assigning work schedules, following work requirements, to ensure quality and timely delivery of service
This is reading one thing and writing another: work schedules, following work requirements in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Assign work schedules, following work requirements, to ensure quality and timely delivery of service.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 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: Building rosters against staffing rules is scheduling work software already does faster than people.
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 3/4.
Furnishing customers with information on events or activities
This is reading one thing and writing another: customers in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Furnish customers with information on events or activities.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 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: Answering questions about what is on and when is exactly what booking systems and chat tools do.
The five ratings: output a model can produce 4/4 · 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 4/4.

Changing shape

4 tasks

Tasks 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.

Requisitioning supplies and equipment necessary for workers to facilitate recreational or entertainment activities
The software now makes the first pass at supplies, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Requisition supplies and equipment necessary for workers to facilitate recreational or entertainment activities, such as safety harnesses, flash lights, or first aid kits.” (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: Requisitioning supplies is ordering paperwork that purchasing systems largely handle already.
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.
Participating in continuing education to stay abreast of industry trends and developments
The software now makes the first pass at continuing education, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Participate in continuing education to stay abreast of industry trends and developments.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (37–61 allowing for uncertainty): partial exposure, low confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Summaries of industry developments are easy to produce, but training and credits are earned personally.
The five ratings: output a model can produce 2/4 · 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.
Applying customer feedback to service improvement efforts
The software now makes the first pass at customer feedback, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Apply customer feedback to service improvement efforts.” (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: Reading feedback and suggesting improvements is text analysis software does well; acting on it needs staff.
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.
Informing workers about interests or special needs of specific groups
The software now makes the first pass at workers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Inform workers about interests or special needs of specific groups.” (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: Briefing staff on a group’s needs is straightforward information passing, usually written.
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.

Staying human

12 tasks

Tasks 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.

Collaborating with staff members to plan or develop programs of events or schedules of activities
The value here is that a specific person handles staff members and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Collaborate with staff members to plan or develop programs of events or schedules of activities.” (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: Software can draft a program of events, but shaping it with the team happens in conversation.
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.
Resolving customer complaints regarding worker performance or services
The value here is that a specific person handles customer complaints regarding worker performance and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Resolve customer complaints regarding worker performance or services rendered.” (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: Complaint replies are easy to draft, but calming an unhappy customer usually takes a person.
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.
Recruiting and hiring staff members
The value here is that a specific person handles staff members and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Recruit and hire staff members.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 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: Job ads and shortlisting are easy to automate, but hiring decisions are made with people face to face.
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 2/4 · how much data exists 3/4.

Show the other 9 tasks

Serving as a point of contact between managerial staff and leaders of recreational or entertainment activities
staying human
The value here is that a specific person handles a point of contact and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Serve as a point of contact between managerial staff and leaders of recreational or entertainment activities.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Being the link between managers and activity leaders depends on relationships built in person.
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 2/4.
Training workers in proper operational procedures and functions and explaining company policies
staying human
This work happens in the physical world: workers, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Train workers in proper operational procedures and functions and explain company policies.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 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: Training content and policy explanations draft well, but new staff learn the job alongside someone.
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 2/4 · how much data exists 3/4.
Taking disciplinary action to address performance problems
staying human
The value here is that a specific person handles disciplinary action and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Take disciplinary action to address performance problems.” (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: Warning letters are easy to draft, but the conversation depends on trust with that employee.
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.
Meeting with managers or other supervisors to stay informed of changes affecting workers or operations
staying human
The value here is that a specific person handles managers and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Meet with managers or other supervisors to stay informed of changes affecting workers or operations.” (O*NET task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 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: Keeping up with operational changes happens in meetings with the people making them.
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 2/4 · how much data exists 2/4.
Directing or coordinating the activities of entertainment and recreation related workers
staying human
This work happens in the physical world: the activities of entertainment, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Direct or coordinate the activities of entertainment and recreation related workers.” (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 a team of activity staff means being on site with them during sessions.
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.
Observing and evaluating workers' appearance and performance to ensure quality service and compliance with specifications
staying human
This work happens in the physical world: workers' appearance, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Judging how staff look and perform means watching them work on the floor.
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 1/4 · how much data exists 2/4.
Planning, directing or supervising recreational and entertainment activities
staying human
This work happens in the physical world: recreational, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Plan, direct, or supervise recreational and entertainment activities led by staff, such as sports, aquatics, games, or performing arts.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 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 activities like sports or aquatics means being present with staff and participants.
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 2/4 · how much data exists 2/4.
Providing staff with assistance in performing difficult or complicated duties
staying human
This work happens in the physical world: staff, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Provide staff with assistance in performing difficult or complicated duties.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–16 allowing for uncertainty): minimal exposure, medium confidence, and it moved between repeat runs, so the range is widened.
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: Stepping in to help with a difficult job means being there to do 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 2/4 · how much data exists 2/4.
Inspecting work areas or operating equipment to ensure conformance to established standards in areas
staying human
This work happens in the physical world: work areas, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.” (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: Walking work areas to check cleanliness and equipment condition means being there to look.
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: $48,560a 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: 103,190in 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: work schedules, following work requirements in, a record out. The rows above are exactly that shape: analyzing and recording personnel or operational data and writing related activity reports and assigning work schedules, following work requirements. What it cannot do is be there in the room, and that is still where work areas 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: inspecting work areas or operating equipment to ensure conformance to established standards in areas is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 16% of this job's task weight sits in rows the software is already learning, 21% in rows that change shape rather than disappear, and 63% in rows it is nowhere near. That is the position, measured across 19 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. Analyzing and recording personnel or operational data and writing related activity reports 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 work schedules, following work requirements, 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 work areas 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 requisitioning supplies and equipment necessary for workers to facilitate recreational or entertainment activities. 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

You did not come here for a career change and I am not selling you one. But two roads out of here are worth knowing about, so here they are with the bill attached.

First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling ServicesFirst-Line Supervisors of Personal Service Workers
a year or morematched on shared tasks
One of the tasks on your list is on theirs in the same words: “inspect work areas or operating equipment to ensure conformance to established standards in areas”. Take both published task lists together and about 59% of the work in that job that the software is not taking is work you are doing today.
Half of what they do, you do already. The argument is about the other half, not about starting again.
The work the two jobs share
- You already do
  “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.”
  They do
  “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.”
- You already do
  “Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.”
  They do
  “Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.”
- You already do
  “Take disciplinary action to address performance problems.”
  They do
  “Take disciplinary action to address performance problems.”
What you would not already have: Nothing in your task list touches “inform management about problems”, “investigate employee complaints and resolve problems following management rules and regulations” or “arrange worker breaks to ensure services are adequately staffed throughout each shift”. That is the part you would be learning from scratch, and it is roughly the 41% of their durable work you do not already hold.
The honest bill
Pay: $48,590 against your $48,560 (OEWS May 2025 (both)).
- The licence gate: Default-closed. This release carries no licence-register snapshot, so I could not check whether that job is regulated, which means I have to assume it might be. Before you spend a penny, look it up on the US Labor Department’s licensed-occupations finder; the free routes below link straight to it. The route is banded a year or more because of that unknown, not in spite of it.
- The entry ticket: Typical entry-level education is published for only ten occupations in this release, and neither this job nor that one is among them. So I cannot tell you whether a qualification stands in the way. Treat that as an open question to settle before you commit, not as a green light.
- What the pay gap is telling you: $48,590 against your $48,560 (OEWS May 2025 (both)): within a percent of each other, which is to say the same money. Whatever this move is for, it is not for the pay.
- What you live on meanwhile: Nobody is going to pay you to retrain. This is evenings and weekends alongside the job you already have, for a year or more, and if that is not possible right now then this route is not open right now, which is worth knowing before you start. The free American Job Center service listed below will talk training funding through with you before you pay anyone.
- Is the target job itself holding up: First-Line Supervisors of Personal Service Workers scores 36/100 on this site’s own exposure measure (low), with 16% of its tasks in the top band. Employment projections are not published for this occupation in this release, so this is the exposure leg of the check only. It passed, which is the only reason it is here.
How long: A year or more, part-time, alongside the job you have. That band is set by the unchecked licence question and by the 41% of their work you would be learning, not by any one course.
See what AI is doing to first-line supervisors of personal service workers
First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling ServicesFirst-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors
a year or morematched on shared tasks
One of the tasks on your list is on theirs in the same words: “inspect work areas or operating equipment to ensure conformance to established standards in areas”. Take both published task lists together and about 59% of the work in that job that the software is not taking is work you are doing today.
Half of what they do, you do already. The argument is about the other half, not about starting again.
The work the two jobs share
- You already do
  “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.”
  They do
  “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.”
- You already do
  “Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.”
  They do
  “Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.”
- You already do
  “Take disciplinary action to address performance problems.”
  They do
  “Take disciplinary action to address performance problems.”
What you would not already have: Nothing in your task list touches “maintain a safe working environment by monitoring safety procedures and equipment” or “coordinate shipments of recycling materials with shipping brokers or processing companies”. That is the part you would be learning from scratch, and it is roughly the 41% of their durable work you do not already hold.
The honest bill
Pay: $62,890 against your $48,560 (OEWS May 2025 (both)).
- The licence gate: Default-closed. This release carries no licence-register snapshot, so I could not check whether that job is regulated, which means I have to assume it might be. Before you spend a penny, look it up on the US Labor Department’s licensed-occupations finder; the free routes below link straight to it. The route is banded a year or more because of that unknown, not in spite of it.
- The entry ticket: Typical entry-level education is published for only ten occupations in this release, and neither this job nor that one is among them. So I cannot tell you whether a qualification stands in the way. Treat that as an open question to settle before you commit, not as a green light.
- What the pay gap is telling you: $62,890 against your $48,560, 29.5% more (OEWS May 2025 (both)). A real difference, not a life-changing one. Take the move for the work, not the raise.
- What you live on meanwhile: Nobody is going to pay you to retrain. This is evenings and weekends alongside the job you already have, for a year or more, and if that is not possible right now then this route is not open right now, which is worth knowing before you start. The free American Job Center service listed below will talk training funding through with you before you pay anyone.
- Is the target job itself holding up: First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors scores 38/100 on this site’s own exposure measure (low), with 22% of its tasks in the top band. Employment projections are not published for this occupation in this release, so this is the exposure leg of the check only. It passed, which is the only reason it is here.
How long: A year or more, part-time, alongside the job you have. That band is set by the unchecked licence question and by the 41% of their work you would be learning, not by any one course.
See what AI is doing to first-line supervisors of transportation and material moving workers, except aircraft cargo handling supervisors

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.

Entertainment and Recreation Managers, Except Gambling
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “resolve customer complaints regarding worker performance or services rendered”. Across the whole of both lists that adds up to about 15% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 15% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
First-Line Supervisors of Food Preparation and Serving Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already resolve customer complaints regarding worker performance or services rendered, and their equivalent is to resolve customer complaints regarding food service. Across both published task lists that is about 10% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 10% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Gambling Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already recruit and hire staff members, and their equivalent is to interview and hire workers. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 5,030 of those jobs against 103,190 of yours (OEWS May 2025), 5% as many seats.
Look at that job’s page anyway →

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: 16% of its task weight, across 19 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 inspecting work areas or operating equipment to ensure conformance to established standards in areas 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 analyzing and recording personnel or operational data and writing related activity reports, 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 United Kingdom splits this work across more than one official group, of which Senior care workers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Senior care workers, Childminders, Nannies and au pairs, Hairdressers and barbers, Playworkers, Houseparents and residential wardens, Fitness and wellbeing instructors and Beauticians and related occupations. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

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:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for first-line supervisors of entertainment / recreation workers / except gambling services, 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 16% of the work on this page is already inside what they can do.

Try The AI Authority free →

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 entertainment / recreation workers / except gambling services. 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.

Nearby moves

The jobs above, as pages you can read the same way as this one. Your job shares its core work with these. That is what the match is, and it is all it is.

Noted, and thank you. We’ll email you if a Space for first-line supervisors of entertainment / recreation workers / except gambling services launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for first-line supervisors of entertainment / recreation workers / except gambling services yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for first-line supervisors of entertainment / recreation workers / except gambling services existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for first-line supervisors of entertainment / recreation workers / except gambling services launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

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 Entertainment and Recreation Workers, Except Gambling Services?: Not as a job, but it is already doing parts of the work. Across the 19 official task statements scored for First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services (United States, SOC 39-1014), 16% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 32 out of 100 (range 25–39, 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 Entertainment and Recreation Workers, Except Gambling Services” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Analyze and record personnel or operational data and write related activity reports” (75/100, high); “Assign work schedules, following work requirements, to ensure quality and timely delivery of service” (64/100, high); “Furnish customers with information on events or activities” (64/100, 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 Entertainment and Recreation Workers, Except Gambling Services” 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: “Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance” (0/100, minimal); “Provide staff with assistance in performing difficult or complicated duties” (6/100, minimal); “Plan, direct, or supervise recreational and entertainment activities led by staff, such as sports, aquatics, games, or performing arts” (6/100, 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 Entertainment and Recreation Workers, Except Gambling Services” do about AI?: Start from the ledger rather than the headline: 16% 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 Entertainment and Recreation Workers, Except Gambling Services 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 19 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

About the data on this page

O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
11 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-with-imputed)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
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.

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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}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. 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.