UK dataswitch to US
Typists and related keyboard occupations
checking completed work, formatting typographic elements in a document and operating typewriters for document transcription and preparation. 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: checking completed work. The tasks, though, are not you.
It would be a lie to soften that; collating pages of reports and other documents is what this work rebuilds around. Your move starts there.
Your week, as this page understands it
Typists and related keyboard occupations type letters, memos, reports and other documents from draft, handwritten or dictated matter, using appropriate software packages. The job title says “typists” or “related keyboard occupations”: officially one job, two names. The real job is the part underneath: collating pages of reports and other documents. 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 typists and related keyboard occupations is not one task. It is 29 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is collating pages of reports and other documents, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 75%
- changing shape
- 7%
- staying human
- 18%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 72 out of 100 (67–78 allowing for uncertainty): high exposure, across 29 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 typists and related keyboard occupations 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 2026-08-05. 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.
- 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.
Shifting to AI
21 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.
Checking completed work
This is reading one thing and writing another: completed work in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/02, 4217/03Source: “Check completed work for spelling, grammar, punctuation, and format.” (UK task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 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: Checking spelling, grammar and formatting is the task computers have done best for longest.
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 4/4.
Typing and formatting correspondence and documents from notes using computers
This is reading one thing and writing another: correspondence in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/02, 4217/03Source: “Type and format correspondence and documents from notes using computers.” (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: Turning notes into a properly formatted letter is something software does at least as well as a typist.
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 written material from corrected copies
This is reading one thing and writing another: written material in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/02, 4217/03Source: “Type written material from corrected copies, voice recordings, or dictation using a word processor.” (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: Transcription and typing from dictation are now done at least as accurately by software.
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.
Formatting typographic elements in a document
This is reading one thing and writing another: typographic elements in, a record out. That is the shape today's tools are built for.
importance 80 · 4217/02, 4217/03Source: “Format typographic elements in a document, including font size, style, and spacing.” (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: Setting fonts, sizes and spacing is standard word-processing that software applies consistently across a whole document.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Changing shape
2 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.
Printing documents according to client specifications
The software now makes the first pass at documents, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 4217/02, 4217/03Source: “Print documents according to client specifications.” (UK 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: Sending files to print is automatic, but collecting, checking and finishing the paper output is not.
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.
Managing paper and electronic filing systems
The software now makes the first pass at paper, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 4217/02, 4217/03Source: “Manage paper and electronic filing systems.” (UK 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: Electronic filing can be run automatically, though paper records still have to be handled by hand.
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.
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.
Collating pages of reports and other documents
This work happens in the physical world: pages of reports, in a real place. Software cannot follow it there.
importance 80 · 4217/02, 4217/03Source: “Collate pages of reports and other documents.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Assembling pages in order is instant on screen but still manual when the documents are on paper.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Storing completed documents in appropriate locations
This work happens in the physical world: completed documents, in a real place. Software cannot follow it there.
importance 70 · 4217/02, 4217/03Source: “Store completed documents in appropriate locations.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Digital filing is automatic, but paper documents still have to be carried to the right cabinet.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording interviews and meetings using shorthand or technical equipment
This work happens in the physical world: interviews, in a real place. Software cannot follow it there.
importance 80 · 4217/01Source: “Record interviews and meetings using shorthand or technical equipment.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Automatic transcription is excellent, but the recording still has to be made where the interview or meeting happens.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Taking notes in court for legal advisers
This work happens in the physical world: notes, in a real place. Software cannot follow it there.
importance 80 · 4217/01Source: “Take notes in court for legal advisers.” (UK task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Note-taking for a legal adviser means sitting in the courtroom catching what is said as it happens.
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 1/4 · how much data exists 2/4.
Show the other 19 tasks
Using computer aided transcription to translate symbols into text
shifting to AIThis is reading one thing and writing another: computer aided transcription in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/01Source: “Use computer aided transcription to translate symbols into text.” (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: Turning shorthand symbols into readable text is already a software function and needs no one in the room.
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.
Maintaining records of completed work to ensure transcription accuracy
shifting to AIThis is reading one thing and writing another: records of completed work in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/02Source: “Maintain records of completed work to ensure transcription accuracy.” (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 a record of work completed is routine tracking that software maintains 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.
Electronicallying sort and compiling text and numerical data
shifting to AIThis is reading one thing and writing another: sort in, a record out. That is the shape today's tools are built for.
importance 70 · 4217/02, 4217/03Source: “Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.” (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: Sorting, merging and updating documents electronically is exactly the kind of task computers were built for.
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.
Inputting data into computer systems for record-keeping
shifting to AIThis is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 60 · 4217/02, 4217/03Source: “Input data into computer systems for record-keeping.” (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: Keying information into a system is the most directly automatable office task there is.
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.
Transmiting documents electronically to designated locations
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 60 · 4217/02, 4217/03Source: “Transmit documents electronically to designated locations.” (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: Sending documents electronically to set destinations is routine and already automated in most offices.
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.
Maintaining records of completed work to ensure document accuracy
shifting to AIThis is reading one thing and writing another: records of completed work in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/03Source: “Maintain records of completed work to ensure document accuracy.” (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: Tracking completed documents for accuracy is routine record-keeping software maintains on its 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.
Checking data input or verifying totals on forms to detect errors in arithmetic
shifting to AIThis is reading one thing and writing another: data input in, a record out. That is the shape today's tools are built for.
importance 70 · 4217/02, 4217/03Source: “Check data input or verify totals on forms to detect errors in arithmetic, data entry, or procedures.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 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: Checking totals and spotting entry errors is arithmetic and pattern matching, which software does faster and more consistently than people.
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 0/4 · how much data exists 4/4.
Proofreading transcripts for correct spelling of words
shifting to AIThis is reading one thing and writing another: transcripts in, a record out. That is the shape today's tools are built for.
importance 85 · 4217/01Source: “Proofread transcripts for correct spelling of words.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 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: Checking spelling in a transcript is exactly the kind of proofreading software already does reliably.
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 0/4 · how much data exists 3/4.
Verifying accuracy of transcripts by checking copies against original records of proceedings
shifting to AIThis is reading one thing and writing another: accuracy of transcripts in, a record out. That is the shape today's tools are built for.
importance 75 · 4217/01Source: “Verify accuracy of transcripts by checking copies against original records of proceedings.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 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: Comparing a transcript against the original line by line is a checking job machines do faster and more consistently.
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 0/4 · how much data exists 3/4.
Taking dictation in shorthand or by machine
shifting to AIThis is reading one thing and writing another: dictation in, a record out. That is the shape today's tools are built for.
importance 85 · 4217/01Source: “Take dictation in shorthand or by machine.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Speech-to-text now handles dictation reliably, though someone is often needed in the room while the doctor dictates.
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 4/4.
Combining and rearranging material from different sources for reports
shifting to AIThis is reading one thing and writing another: material in, a record out. That is the shape today's tools are built for.
importance 60 · 4217/02, 4217/03Source: “Combine and rearrange material from different sources for reports.” (UK 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 material from several sources into one report is drafting work software does well, though the shaping needs a check.
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.
Providing transcripts of proceedings upon request of judges
shifting to AIThis is reading one thing and writing another: transcripts of proceedings upon request of judges in, a record out. That is the shape today's tools are built for.
importance 90 · 4217/01Source: “Provide transcripts of proceedings upon request of judges, solicitors, or the public.” (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; someone qualified has to answer for it.
The rating behind it: Producing and supplying a transcript is document work, but court transcripts must be certified by an approved transcriber.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Operating typewriters for document transcription and preparation
shifting to AIThis is reading one thing and writing another: typewriters in, a record out. That is the shape today's tools are built for.
importance 80 · 4217/02, 4217/03Source: “Operate typewriters for document transcription and preparation.” (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: Producing typed documents is software work, though a physical typewriter still needs paper loading by hand.
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.
Registering and arranging the material following instructions
shifting to AIThis is reading one thing and writing another: the material following instructions in, a record out. That is the shape today's tools are built for.
importance 60 · 4217/02, 4217/03Source: “Register and arrange the material following instructions.” (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: Registering and ordering material to instructions is filing work, though physical files still need moving.
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.
Editing data in computers using optical scanners
shifting to AIThis is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 50 · 4217/02, 4217/03Source: “Edit data in computers using optical scanners.” (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: Correcting scanned text is well-established software work, though paper still has to be fed through the scanner.
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.
Filing legible court case transcripts with the court clerk's office
shifting to AIThis is reading one thing and writing another: legible court case transcripts in, a record out. That is the shape today's tools are built for.
importance 80 · 4217/01Source: “File legible court case transcripts with the court clerk's office.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 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: Court filing is now largely electronic, so the work is preparing and submitting a file rather than carrying paper, though some courts still want hard copies.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Logging exhibits from court proceedings
shifting to AIThis is reading one thing and writing another: exhibits in, a record out. That is the shape today's tools are built for.
importance 70 · 4217/01Source: “Log exhibits from court proceedings.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 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: Logging exhibits is straightforward register-keeping, though the items themselves are physical and handled in court.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording sound onto digital devices
staying humanThis work happens in the physical world: sound, in a real place. Software cannot follow it there.
importance 70 · 4217/01Source: “Record sound onto digital devices.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium 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: The recording is automatic, but someone has to be there with the device where the sound happens.
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.
Requesting speakers to clarify any inaudible statements
staying humanThis work happens in the physical world: speakers, in a real place. Software cannot follow it there.
importance 75 · 4217/01Source: “Request speakers to clarify any inaudible statements.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 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: Asking a speaker to repeat something means interrupting a live hearing, which only a person in the room can do.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 1/4.
What this job pays, and how many people do it
- Median pay
- £27,200a 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
- 5,100in 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: completed work in, a record out. The rows above are exactly that shape: checking completed work and typing and formatting correspondence and documents from notes using computers. What it cannot do is be there in the room, and that is still where pages of reports 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
The exposed part of your job is the biggest part, and I am not going to dress that up: checking completed work is work today's tools do quickly and cheaply, and that is not coming back.
So, given all that: 75% of this job's task weight sits in rows the software is already learning, 7% in rows that change shape rather than disappear, and 18% in rows it is nowhere near. That is the position, measured across 29 scored tasks. It is not a forecast about you.
What you have that the software does not is collating pages of reports and other documents, 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 completed work 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 completed work, 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 checking completed work” 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 collating pages of reports and other documents 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 typists and related keyboard occupations (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was elementary administration occupations n.e.c.: only about 6% of its durable work is work you already do. I am not going to pretend that is comfortable news: 75% 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. “record interviews and meetings using shorthand or technical equipment” 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.
Elementary administration occupations n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “store completed documents in appropriate locations”. Across the whole of both lists that adds up to about 6% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step.
Data entry administrators
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “store completed documents in appropriate locations”. Across the whole of both lists that adds up to about 5% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 78% of its own task list already scores in the top exposure band (75/100 in this release), so the same software is eating it.
Office managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already manage paper and electronic filing systems, and their equivalent is to oversee the transition from paper to electronic records management systems. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 75% of its task weight, across 29 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: collating pages of reports and other documents 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 Word Processors and Typists 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
In US official statistics this job is counted as Word Processors and Typists. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.
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 typists / related keyboard occupations, 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 75% 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 typists / related keyboard occupations. 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 typists / related keyboard occupations 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 Typists and related keyboard occupations?
- Not as a job, but it is already doing parts of the work. Across the 29 official task statements scored for Typists and related keyboard occupations (United Kingdom, SOC 4217), 75% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 72 out of 100 (range 67–78, 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 “Typists and related keyboard occupations” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Check completed work for spelling, grammar, punctuation, and format” (100/100, very high); “Use computer aided transcription to translate symbols into text” (93/100, very high); “Maintain records of completed work to ensure transcription accuracy” (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 “Typists and related keyboard occupations” stay human?
- About 18% 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: “Request speakers to clarify any inaudible statements” (8/100, minimal); “Record sound onto digital devices” (10/100, minimal); “Take notes in court for legal advisers” (29/100, low). 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 “Typists and related keyboard occupations” do about AI?
- Start from the ledger rather than the headline: 75% of this job's weighted core work is exposed, and roughly 18% 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 Typists and related keyboard occupations 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 29 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.
- 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
- 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.