UK dataswitch to US
Telephonists
transferring telephone calls, recording details of calls made and the associated charges in the company database and updating directory information. If that's your week, this page is about your job.
The honest answer
Most tasks in this job are the kind AI has learned to do: transferring telephone calls. The tasks, though, are not you.
It would be a lie to soften that; working in a team with 'front of house' staff is what this work rebuilds around. Your move starts there.
Your week, as this page understands it
Telephonists receive and direct callers in commercial, industrial and other establishments, and operate telephone (public) and office (private) switchboards to advise on, and assist with, making telephone calls and to relay incoming, outgoing and internal calls. The job title says “telephonists”. The real job is the part underneath: working in a team with 'front of house' staff. 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 telephonists is not one task. It is 28 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is working in a team with 'front of house' staff, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 65%
- changing shape
- 14%
- staying human
- 21%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 62 out of 100 (57–67 allowing for uncertainty): high exposure, across 28 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 telephonists 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.
- 15 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
18 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.
Transferring telephone calls
This is reading one thing and writing another: telephone calls in, a record out. That is the shape today's tools are built for.
importance 85 · 7212/00Source: “Transfer telephone calls as necessary.” (UK task statement)
How this row was scored
Exposure score: 85 out of 100 (81–89 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: Routing calls to the right person is already handled automatically in most phone systems.
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 4/4.
Operating switchboard systems for internal and external communication
This is reading one thing and writing another: switchboard systems in, a record out. That is the shape today's tools are built for.
importance 85 · 7212/00Source: “Operate switchboard systems for internal and external communication.” (UK 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: Routing internal and external calls is what automated switchboards already do in most organisations.
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.
Providing callers with accurate information and assistance
This is reading one thing and writing another: callers in, a record out. That is the shape today's tools are built for.
importance 85 · 7212/00Source: “Provide callers with accurate information and assistance.” (UK 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: Giving callers accurate information is answerable from records, which AI can search instantly.
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.
Answering simple questions about clients' businesses
This is reading one thing and writing another: simple questions in, a record out. That is the shape today's tools are built for.
importance 80 · 7212/00Source: “Answer simple questions about clients' businesses, using reference files.” (UK 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: Answering simple questions from reference files is straightforward lookup that software does instantly and accurately.
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.
Changing shape
4 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.
Operating intercom systems for localized communication
The software now makes the first pass at intercom systems, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 7212/00Source: “Operate intercom systems for localized communication.” (UK task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 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: Intercom calls are simple to route automatically, though the system serves one particular site.
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 3/4.
Making announcements over the Tannoy system
The software now makes the first pass at announcements over the tannoy system, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 7212/00Source: “Make announcements over the Tannoy system.” (UK task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 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: Automated voice announcements are already common on stations and trains, so writing and reading them out is easily replaced.
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 3/4.
Monitoring automated systems for placing reverse charge calls and intervene for callers needing assistance
The software now makes the first pass at automated systems, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 7212/00Source: “Monitor automated systems for placing reverse charge calls and intervene for callers needing assistance.” (UK 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: Reverse-charge calls are handled automatically; the operator only steps in when a caller is struggling.
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
6 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.
Greeting visitors or callers and providing initial assistance
This work happens in the physical world: visitors, in a real place. Software cannot follow it there.
importance 85 · 7212/00Source: “Greet visitors or callers and provide initial assistance.” (UK 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: Calls can be handled automatically, but greeting visitors who walk in cannot.
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.
Offering special assistance
The value here is that a specific person handles special assistance and stands behind it. That is earned, not computed.
importance 80 · 7212/00Source: “Offer special assistance to persons such as those who are unable to dial or who are in emergency situations.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 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: Helping someone in distress or unable to dial depends on reading the person and reassuring them live.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Working in a team with 'front of house' staff
This work happens in the physical world: a team, in a real place. Software cannot follow it there.
importance 80 · 7212/00Source: “Work in a team with 'front of house' staff.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–11 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: Working with front of house happens at the venue on show nights, alongside the people there.
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 1/4.
Show the other 18 tasks
Recording details of calls made and the associated charges in the company database
shifting to AIThis is reading one thing and writing another: details of calls made in, a record out. That is the shape today's tools are built for.
importance 75 · 7212/00Source: “Record details of calls made and the associated charges in the company database.” (UK 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: Logging calls and charges to the database is data entry that phone systems already capture on their own.
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.
Updating directory information
shifting to AIThis is reading one thing and writing another: directory information in, a record out. That is the shape today's tools are built for.
importance 75 · 7212/00Source: “Update directory information.” (UK 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: Keeping directory entries current is routine data maintenance that software handles reliably.
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.
Recording details of related toll charges in the company database
shifting to AIThis is reading one thing and writing another: details of related toll charges in, a record out. That is the shape today's tools are built for.
importance 70 · 7212/00Source: “Record details of related toll charges in the company database.” (UK 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: Recording toll charges in the database is data entry that billing systems already do automatically.
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.
Updating telephone directories using data entry tools
shifting to AIThis is reading one thing and writing another: telephone directories in, a record out. That is the shape today's tools are built for.
importance 70 · 7212/00Source: “Update telephone directories using data entry tools.” (UK 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: Updating directory entries with data-entry tools is routine keying that software does faster and more accurately.
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.
Typing and proofreading documents for accuracy
shifting to AIThis is reading one thing and writing another: documents in, a record out. That is the shape today's tools are built for.
importance 70 · 7212/00Source: “Type and proofread documents for accuracy.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 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: Typing and checking documents for errors is exactly what everyday writing software already does well.
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 4/4.
Listening to customer requests, referring to alphabetical or geographical directories to answer questions and providing telephone information
shifting to AIThis is reading one thing and writing another: customer requests in, a record out. That is the shape today's tools are built for.
importance 80 · 7212/00Source: “Listen to customer requests, referring to alphabetical or geographical directories to answer questions and provide telephone information.” (UK 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: Looking up a directory to answer a caller is exactly the kind of search software does best.
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.
Carrying out administrative tasks, such as accepting orders
shifting to AIThis is reading one thing and writing another: administrative tasks in, a record out. That is the shape today's tools are built for.
importance 75 · 7212/00Source: “Carry out administrative tasks, such as accepting orders, organising appointments or booking meeting rooms, or sending and receiving faxes.” (UK 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: Taking orders, booking rooms and arranging appointments is routine admin already handled by booking systems.
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.
Making telephone calls
shifting to AIThis is reading one thing and writing another: telephone calls in, a record out. That is the shape today's tools are built for.
importance 75 · 7212/00Source: “Make telephone calls as instructed.” (UK 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: Placing calls on instruction is a mechanical step that dialling systems already perform.
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.
Operating telephone systems
shifting to AIThis is reading one thing and writing another: telephone systems in, a record out. That is the shape today's tools are built for.
importance 80 · 7212/00Source: “Operate telephone systems for local, long distance, pay, mobile, person-to-person, and emergency calls.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Connecting the various call types is largely automatic now, though emergency handling follows strict protocol.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Monitoring signal lights on switchboards
shifting to AIThis is reading one thing and writing another: signal lights in, a record out. That is the shape today's tools are built for.
importance 75 · 7212/00Source: “Monitor signal lights on switchboards, and dial or press buttons to establish connections.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 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: Watching lights and pressing keys to connect calls is automated in software switchboards, though old consoles are physical.
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 0/4 · how much data exists 3/4.
Reporting identified faults
shifting to AIThis is reading one thing and writing another: identified faults in, a record out. That is the shape today's tools are built for.
importance 65 · 7212/00Source: “Report identified faults.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 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: Writing up and passing on a fault report is quick document work, though someone must first notice the fault.
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 0/4 · how much data exists 3/4.
Processing incoming and outgoing correspondence and managing filing systems
shifting to AIThis is reading one thing and writing another: correspondence in, a record out. That is the shape today's tools are built for.
importance 60 · 7212/00Source: “Process incoming and outgoing correspondence and manage filing systems.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Sorting correspondence and keeping files in order is routine office work, largely digital.
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 0/4 · how much data exists 3/4.
Assisting customers with special billing requests
shifting to AIThis is reading one thing and writing another: customers in, a record out. That is the shape today's tools are built for.
importance 70 · 7212/00Source: “Assist customers with special billing requests.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 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: Unusual billing requests follow documented rules, so software can draft the answer, though odd cases need a person.
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.
Operating bleep systems to notify recipients of incoming calls
shifting to AIThis is reading one thing and writing another: bleep systems in, a record out. That is the shape today's tools are built for.
importance 70 · 7212/00Source: “Operate bleep systems to notify recipients of incoming calls.” (UK 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: Paging is easy to automate, but deciding who to bleep and how urgently still takes judgement.
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.
Performing clerical duties, typing, proofreading and sorting post
changing shapeThe software now makes the first pass at clerical duties, typing, proofreading and sorting post, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 65 · 7212/00Source: “Perform clerical duties such as typing, proofreading, and sorting post.” (UK task statement)
How this row was scored
Exposure score: 41 out of 100 (34–48 allowing for uncertainty): partial 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: Typing and proofreading are almost entirely automated now, though sorting the physical post still needs someone at the pigeonholes.
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 4/4.
Coordinating with emergency services and relevant bodies during emergencies
staying humanThe value here is that a specific person handles emergency services and stands behind it. That is earned, not computed.
importance 65 · 7212/00Source: “Coordinate with emergency services and relevant bodies during emergencies.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 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: Switchboard relaying can be automated, but live coordination during an emergency runs on trusting the person on the line.
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 2/4 · how much data exists 2/4.
Managing the processing of incoming and outgoing post and deliveries
staying humanThis work happens in the physical world: the processing, in a real place. Software cannot follow it there.
importance 65 · 7212/00Source: “Manage the processing of incoming and outgoing post and deliveries.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Post has to be physically sorted, carried and dispatched.
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 3/4.
Operating two-way radio systems for mobile communication
staying humanThis work happens in the physical world: two-way radio systems, in a real place. Software cannot follow it there.
importance 70 · 7212/00Source: “Operate two-way radio systems for mobile communication.” (UK task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Radio calls happen while driving round the site, so they belong to the person on the truck.
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.
What this job pays, and how many people do it
- Median pay
- £31,600a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
- People doing this job
- 4,000in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
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: telephone calls in, a record out. The rows above are exactly that shape: transferring telephone calls and operating switchboard systems for internal and external communication. What it cannot do is be there in the room, and that is still where a team gets 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
The exposed part of your job is the biggest part, and I am not going to dress that up: transferring telephone calls is work today's tools do quickly and cheaply, and that is not coming back.
So, given all that: 65% of this job's task weight sits in rows the software is already learning, 14% in rows that change shape rather than disappear, and 21% in rows it is nowhere near. That is the position, measured across 28 scored tasks. It is not a forecast about you.
What you have that the software does not is working in a team with 'front of house' staff, plus the years of knowing when something looks wrong before you can say why. That is the raw material for everything below.
This week: one thing
Sit on the machine's side of the desk. Pick one real piece of telephone calls you would normally do yourself, let whatever software you already have take the first pass at it, and then go through what it produced and write down every single thing it got wrong. One evening this week. Do not fix anything yet. Just catch it.
- What you end up holding
- a written list of the machine’s mistakes, in your handwriting
- How long it takes
- an evening, or an hour if you pick one job rather than one client
If you can’t run software on your employer’s or your clients’ data: Do the same hunt on paper. Take one printed piece of telephone calls, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.
Over the next 90 days
Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is transferring telephone calls” to “I check what the software does and tell you what it means.” Your error list from this week is what makes that sentence true instead of a claim, so use it: show it once, to one person, inside the next ninety days. Same skills, priced as judgment rather than as typing.
Over the next 12 months
Walk toward the end of this job that answers for things, and get it recognised. Pick the one part of working in a team with 'front of house' staff you are already best at, and spend the year making it formal: a qualification, a named responsibility, a specialism people ask for by name. Price it honestly: that is evenings, it is months rather than weeks, and the seats are competitive because everyone in your position is looking at the same door. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, 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 UK occupations to telephonists (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was personal assistants and other secretaries: only about 10% of its durable work is work you already do and it is under the same pressure this job is. I am not going to pretend that is comfortable news: 65% of your own task list is already in the top exposure band. But the answer on this evidence is not a sideways jump into a job with the same problem. It is to walk toward the end of this one that answers for things. “greet visitors or callers and provide initial assistance” is the part that stays with a person, and spending a year getting formally recognised for it beats a standing start somewhere else.
How that was checked: this job was compared against all 412 UK 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.
Personal assistants and other secretaries
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “greet visitors or callers and provide initial assistance”. Across the whole of both lists that adds up to about 10% 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 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. I will not move you off one melting floe onto another: 76% of its own task list already scores in the top exposure band (65/100 in this release), so the same software is eating it.
School secretaries
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “greet visitors or callers and provide initial assistance”. Across the whole of both lists that adds up to about 10% 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 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. It is a pay cut, in those words: £26,463 against your £31,568, 16.2% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Receptionists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already greet visitors or callers and provide initial assistance, and their equivalent is to greet and assist visitors upon arrival at the office. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: £24,678 against your £31,568, 21.8% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
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: 65% of its task weight, across 28 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
“It’s too late for me to become something else”
You are not starting from zero, and the page shows why: working in a team with 'front of house' staff is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
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.
You are reading the United Kingdom figures
The United States splits this work across more than one official group, of which Switchboard Operators, Including Answering Service is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United States page →partial match
The other groups this work is counted across:
In US official statistics this job is counted as Switchboard Operators, Including Answering Service and Telephone Operators. 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.
In England:
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
In Wales:
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for telephonists, 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 65% 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 telephonists. 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 telephonists 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 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 Telephonists?
- Not as a job, but it is already doing parts of the work. Across the 28 official task statements scored for Telephonists (United Kingdom, SOC 7212), 65% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 62 out of 100 (range 57–67, band: high). 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 “Telephonists” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Record details of calls made and the associated charges in the company database” (93/100, very high); “Update directory information” (93/100, very high); “Record details of related toll charges in the company database” (93/100, very 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 “Telephonists” stay human?
- About 21% 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: “Work in a team with 'front of house' staff” (4/100, minimal); “Operate two-way radio systems for mobile communication” (7/100, minimal); “Manage the processing of incoming and outgoing post and deliveries” (10/100, 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 “Telephonists” do about AI?
- Start from the ledger rather than the headline: 65% of this job's weighted core work is exposed, and roughly 21% 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 Telephonists 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 28 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
- Provisional, because the ONS revises this figure in the autumn.
- This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 15 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
- gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
- Task weights
- gaisi-index (relatedness)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))
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.