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Medical secretaries

updating patient records accordingly, addressing questions from patients, staff and consultants and transcribing detailed medical reports from audio recordings to written format. 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: typing letters and clinical reports. The tasks, though, are not you.

Your move: three real directions from here ↓

It would be a lie to soften that; greeting guests entering the medical office is what this work rebuilds around. Your move starts there.

Your week, as this page understands it

Medical secretaries deal with correspondence, make appointments and handle patients’ queries file and maintain medical and other records transcribe notes and dictation and perform other clerical tasks in hospitals/surgeries and other medical establishments. The job title says “medical secretaries”. The real job is the part underneath: greeting guests entering the medical office. 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 medical secretaries is not one task. It is 45 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is greeting guests entering the medical office, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI
68%
changing shape
11%
staying human
20%

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

Whole-job exposure score 65 out of 100 (60–70 allowing for uncertainty): high exposure, across 45 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 medical secretaries 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.

Shifting to AI

31 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

  • Updating patient records accordingly

    This is reading one thing and writing another: patient records in, a record out. That is the shape today's tools are built for.

    importance 85 · 4211/00
    Source: “Update patient records accordingly.” (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: Entering changes into a patient record system is routine data work that software handles at least as accurately as a person.

    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.

  • Answering telephone calls and directing them to the appropriate department or individual

    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 · 4211/00
    Source: “Answer telephone calls and direct them to the appropriate department or individual.” (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 and routing calls is something phone systems and automated assistants already do.

    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.

  • Directing calls to appropriate staff

    This is reading one thing and writing another: calls in, a record out. That is the shape today's tools are built for.

    importance 85 · 4211/00
    Source: “Direct calls to appropriate staff.” (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 calls to the right person is one of the oldest tasks phone systems automate.

    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.

  • Screening phone calls, enquiries and requests and handling them

    This is reading one thing and writing another: phone calls, enquiries and requests and handling them in, a record out. That is the shape today's tools are built for.

    importance 85 · 4211/00
    Source: “Screen phone calls, enquiries, and requests, and handle them when appropriate.” (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: Screening depends on knowing who matters to the manager, though the sorting itself can be automated.

    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.

Changing shape

5 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

  • Maintaining patient confidentiality

    The software now makes the first pass at patient confidentiality, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.

    importance 85 · 4211/00
    Source: “Maintain patient confidentiality.” (UK task statement)
    How this row was scored

    Exposure score: 50 out of 100 (43–57 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.

    The rating behind it: Confidentiality is a duty a person carries rather than an output a machine produces, although systems do much of the day-to-day protecting.

    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 0/4 · how much data exists 3/4.

  • Arranging hospital admissions for patient treatment and care

    The software now makes the first pass at hospital admissions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.

    importance 80 · 4211/00
    Source: “Arrange hospital admissions for patient treatment and care.” (UK task statement)
    How this row was scored

    Exposure score: 50 out of 100 (43–57 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: Booking an admission is coordination software can do, though the decision to admit is a doctor's and bed availability is local knowledge.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.

  • Arranging medical and diagnostic testing for patients and their relatives

    The software now makes the first pass at medical and diagnostic, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.

    importance 75 · 4211/00
    Source: “Arrange medical and diagnostic testing for patients and their relatives.” (UK task statement)
    How this row was scored

    Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial 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: Booking tests is scheduling work software handles well, and the request for the test comes from a clinician.

    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 1/4 · how much data exists 3/4.

Staying human

9 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

  • Greeting guests entering the medical office

    This work happens in the physical world: guests entering the medical office, in a real place. Software cannot follow it there.

    importance 85 · 4211/00
    Source: “Greet guests entering the medical office.” (UK task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.

    The rating behind it: Greeting people as they arrive needs someone physically at the desk, so software cannot take it on.

    The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.

  • Providing a triage and appointment booking service for customers

    The rules require a named, qualified person to answer for a triage, and that person cannot be a piece of software.

    importance 80 · 4211/00
    Source: “Provide a triage and appointment booking service for customers.” (UK task statement)
    How this row was scored

    Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.

    The rating behind it: Online triage tools already book and signpost, but the practice needs a clinician behind the protocol and patients want reassurance when they ring.

    The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Addressing questions from patients, staff and consultants, providing clear and accurate information

    The value here is that a specific person handles questions and stands behind it. That is earned, not computed.

    importance 80 · 4211/00
    Source: “Address questions from patients, staff, and consultants, providing clear and accurate information.” (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 value is that a specific person does it.

    The rating behind it: Most answers rely on practice-specific knowledge and are given by phone or in person, where reassurance matters.

    The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

Show the other 35 tasks

  • Maintaining correspondence files to track communication activities

    shifting to AI

    This is reading one thing and writing another: correspondence files in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Maintain correspondence files to track communication activities.” (UK task statement)
    How this row was scored

    Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very 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: Keeping correspondence files organised is routine record work, though paper letters still need filing.

    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.

  • Proofreading records or reports

    shifting to AI

    This is reading one thing and writing another: records in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Proofread records or reports.” (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: Catching errors in text is one of the things software does most 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.

  • Using software applications to prepare reports

    shifting to AI

    This is reading one thing and writing another: software applications in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Use software applications to prepare reports, invoices, and other documents.” (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: Producing reports, invoices and documents from templates is well-automated office work.

    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 letters and clinical reports

    shifting to AI

    This is reading one thing and writing another: letters in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Type letters and clinical reports.” (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: Producing letters and reports from notes or dictation is exactly the kind of writing AI already does well.

    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.

  • Transcribing detailed medical reports from audio recordings to written format

    shifting to AI

    This is reading one thing and writing another: detailed medical reports in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Transcribe detailed medical reports from audio recordings to written format.” (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: Speech-to-text with medical vocabulary is now very accurate, and the doctor still reads and approves the finished report.

    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.

  • Translating medical jargon and abbreviations into expanded forms for accurate patient records

    shifting to AI

    This is reading one thing and writing another: medical jargon in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Translate medical jargon and abbreviations into expanded forms for accurate patient records.” (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: Expanding medical abbreviations is well-documented language work AI does reliably, with someone checking before it enters the record.

    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.

  • Arranging appointments for clients and staff across various sectors

    shifting to AI

    This is reading one thing and writing another: appointments in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Arrange appointments for clients and staff across various sectors.” (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: Booking appointments is scheduling work that online systems already do from start to finish.

    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.

  • Recording minutes at meetings

    shifting to AI

    This is reading one thing and writing another: minutes in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Record minutes at meetings.” (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: Automatic transcription and summarising already produce usable minutes from a recording of the meeting.

    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.

  • Compiling medical charts, reports or correspondence using a personal computer

    shifting to AI

    This is reading one thing and writing another: medical charts, reports or correspondence in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Compile medical charts, reports, or correspondence using a personal computer.” (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: Compiling charts and correspondence on a computer is document work software produces well, with the clinician checking it.

    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.

  • Maintaining accurate and confidential patient or client records

    shifting to AI

    This is reading one thing and writing another: accurate in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Maintain accurate and confidential patient or client records.” (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: Keeping patient records complete and accurate is system work, with the clinical responsibility for what is recorded sitting with the practice.

    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.

  • Distributing reports of diagnostic procedures to doctors

    shifting to AI

    This is reading one thing and writing another: reports of diagnostic procedures in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Distribute reports of diagnostic procedures to doctors.” (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: Sending results through to the right doctor is automated routing, and the doctor is the one who acts on what they say.

    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.

  • Preparing correspondence for physicians or medical scientists

    shifting to AI

    This is reading one thing and writing another: correspondence in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Prepare correspondence for physicians or medical scientists.” (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: Drafting correspondence for a doctor to check and sign is exactly what writing software produces well.

    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.

  • Ordering medical supplies to ensure patient care

    shifting to AI

    This is reading one thing and writing another: medical supplies in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Order medical supplies to ensure patient care.” (UK task statement)
    How this row was scored

    Exposure score: 81 out of 100 (74–88 allowing for uncertainty): very 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: Reordering consumables from a catalogue is routine automated purchasing, and anything needing a prescriber is signed by a clinician.

    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.

  • Performing data entry for inclusion in medical records and transmission to doctors

    shifting to AI

    This is reading one thing and writing another: data entry in, a record out. That is the shape today's tools are built for.

    importance 70 · 4211/00
    Source: “Perform data entry for inclusion in medical records and transmission to doctors.” (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: Data entry and sending records on to doctors is routine computer work, with a person accountable for accuracy.

    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.

  • Maintaining financial records and accounts to support medical services

    shifting to AI

    This is reading one thing and writing another: financial records in, a record out. That is the shape today's tools are built for.

    importance 60 · 4211/00
    Source: “Maintain financial records and accounts to support medical services.” (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: Bookkeeping for a practice is well-defined system work that accounting software already performs with little help.

    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.

  • Processing and managing incoming and outgoing invoices

    shifting to AI

    This is reading one thing and writing another: invoices in, a record out. That is the shape today's tools are built for.

    importance 60 · 4211/00
    Source: “Process and manage incoming and outgoing invoices.” (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: Handling invoices in and out is standard finance system work that is already largely automated.

    The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Scheduling medical consultations

    shifting to AI

    This is reading one thing and writing another: medical consultations in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Schedule medical consultations.” (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: Booking consultations follows clinic rules and diary availability, which scheduling software already handles.

    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.

  • Confirming medical consultations

    shifting to AI

    This is reading one thing and writing another: medical consultations in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Confirm medical consultations.” (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: Confirming appointments is automatic messaging that most surgeries already run through 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 1/4 · how much data exists 3/4.

  • Scheduling patient diagnostic appointments

    shifting to AI

    This is reading one thing and writing another: patient diagnostic appointments in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Schedule patient diagnostic appointments.” (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: Booking diagnostic appointments follows set rules and availability, which scheduling software handles.

    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.

  • Organising a GP's diary

    shifting to AI

    This is reading one thing and writing another: a gp's diary in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Organise a GP's diary.” (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: Diary work follows clear rules and sits entirely inside the booking system, so scheduling tools do most of it.

    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.

  • Taking dictation in shorthand or by machine

    shifting to AI

    This is reading one thing and writing another: dictation in, a record out. That is the shape today's tools are built for.

    importance 60 · 4211/00
    Source: “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.

  • Recognising inconsistencies and mistakes in medical terms

    shifting to AI

    This is reading one thing and writing another: inconsistencies in, a record out. That is the shape today's tools are built for.

    importance 60 · 4211/00
    Source: “Recognise inconsistencies and mistakes in medical terms, referring to relevant sources.” (UK task statement)
    How this row was scored

    Exposure score: 72 out of 100 (68–76 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: Spotting wrong or inconsistent medical terms against reference sources is pattern-checking that software is very good at.

    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 4/4.

  • Ensuring corrected reports are included in patients' medical records

    shifting to AI

    This is reading one thing and writing another: corrected reports in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Ensure corrected reports are included in patients' medical records.” (UK task statement)
    How this row was scored

    Exposure score: 66 out of 100 (62–70 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: Matching corrected reports to the right patient file is routine record work software handles, with a person checking.

    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.

  • Setting up and maintaining medical files and databases

    shifting to AI

    This is reading one thing and writing another: and maintaining medical files in, a record out. That is the shape today's tools are built for.

    importance 80 · 4211/00
    Source: “Set up and maintain medical files and databases, including records such as x-ray and lab reports.” (UK task statement)
    How this row was scored

    Exposure score: 66 out of 100 (62–70 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: Setting up and keeping records tidy is structured computer work, though clinical accuracy still needs a responsible person checking.

    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.

  • Receiving and routing messages or documents

    shifting to AI

    This is reading one thing and writing another: messages in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Receive and route messages or documents, such as laboratory results, to appropriate staff.” (UK task statement)
    How this row was scored

    Exposure score: 66 out of 100 (62–70 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 results and messages to the right clinician is workflow software already does, and the person who acts on a result is a doctor.

    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.

  • Recording the results of medical tests

    shifting to AI

    This is reading one thing and writing another: the results of medical tests in, a record out. That is the shape today's tools are built for.

    importance 75 · 4211/00
    Source: “Record the results of medical tests.” (UK task statement)
    How this row was scored

    Exposure score: 66 out of 100 (62–70 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: Entering test results is structured work software does well, but the clinical stakes mean someone still checks it.

    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.

  • Producing quantitative data reports to inform medical staff about a patient's condition

    shifting to AI

    This is reading one thing and writing another: quantitative data reports in, a record out. That is the shape today's tools are built for.

    importance 50 · 4211/00
    Source: “Produce quantitative data reports to inform medical staff about a patient's condition.” (UK task statement)
    How this row was scored

    Exposure score: 66 out of 100 (62–70 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 numbers into a report is standard reporting work, and the clinical meaning of the figures is judged by medical staff.

    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.

  • Transmiting correspondence by post, email or fax

    changing shape

    The software now makes the first pass at correspondence, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.

    importance 65 · 4211/00
    Source: “Transmit correspondence by post, email, or fax.” (UK task statement)
    How this row was scored

    Exposure score: 50 out of 100 (43–57 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: Sending correspondence by email is automatic, but anything going by post still has to be printed and posted.

    The five ratings: output a model can produce 4/4 · 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.

  • Carrying out clerical tasks, such as typing, filing and microfilm photography

    changing shape

    The software now makes the first pass at clerical tasks, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.

    importance 70 · 4211/00
    Source: “Carry out clerical tasks, such as typing, filing, and microfilm photography.” (UK task statement)
    How this row was scored

    Exposure score: 46 out of 100 (39–53 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 is easily automated, but filing and microfilm work still needs someone handling the documents.

    The five ratings: output a model can produce 4/4 · 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.

  • Interviewing patients to obtain their medical histories

    staying human

    The value here is that a specific person handles patients and stands behind it. That is earned, not computed.

    importance 75 · 4211/00
    Source: “Interview patients to obtain their medical histories.” (UK task statement)
    How this row was scored

    Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.

    The rating behind it: Online pre-appointment questionnaires already collect histories, but people share health details more readily face to face, and a clinician interprets what is gathered.

    The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Determining the nature and purpose of their visit

    staying human

    The value here is that a specific person handles the nature and stands behind it. That is earned, not computed.

    importance 70 · 4211/00
    Source: “Determine the nature and purpose of their visit.” (UK task statement)
    How this row was scored

    Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.

    The rating behind it: Digital check-in already asks why someone has come, but a surgery needs anything worrying passed to a clinician and patients want discretion.

    The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Interviewing patients to complete documents and case histories

    staying human

    The value here is that a specific person handles patients and stands behind it. That is earned, not computed.

    importance 70 · 4211/00
    Source: “Interview patients to complete documents and case histories.” (UK task statement)
    How this row was scored

    Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.

    Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.

    The rating behind it: Forms and histories can be gathered through online questionnaires, though patients open up more in person and a clinician uses what is collected.

    The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

  • Answering enquiries concerning the progress of medical cases

    staying human

    The value here is that a specific person handles enquiries concerning the progress of medical cases and stands behind it. That is earned, not computed.

    importance 75 · 4211/00
    Source: “Answer enquiries concerning the progress of medical cases, within the limits of confidentiality laws.” (UK task statement)
    How this row was scored

    Exposure score: 31 out of 100 (24–38 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: Deciding what may be shared about a case, and settling a worried caller, still needs a person judgement.

    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 2/4 · how much data exists 2/4.

  • Carrying out filing and photocopying tasks

    staying human

    This work happens in the physical world: filing, in a real place. Software cannot follow it there.

    importance 65 · 4211/00
    Source: “Carry out filing and photocopying tasks.” (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: 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 can be automated, but photocopying and putting paper into cabinets needs hands in the room.

    The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

  • Operating office machines, photocopiers, scanners and personal computers

    staying human

    This work happens in the physical world: office machines, photocopiers, scanners and personal computers, in a real place. Software cannot follow it there.

    importance 75 · 4211/00
    Source: “Operate office machines including photocopiers, scanners, and personal computers.” (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: Photocopiers and scanners need someone to load and operate the machine.

    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.

What this job pays, and how many people do it

Median pay
£27,000a 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
62,500in 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: patient records in, a record out. The rows above are exactly that shape: typing letters and clinical reports and updating patient records accordingly. What it cannot do is be there in the room, and that is still where guests entering the medical office 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: typing letters and clinical reports is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 68% of this job's task weight sits in rows the software is already learning, 11% in rows that change shape rather than disappear, and 20% in rows it is nowhere near. That is the position, measured across 45 scored tasks. It is not a forecast about you.

What you have that the software does not is greeting guests entering the medical office, 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 patient records 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 patient records, 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 typing letters and clinical reports” 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 greeting guests entering the medical office 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 medical secretaries (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was records clerks and assistants: only about 8% 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: 68% 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 guests entering the medical office” 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.

  • Records clerks and assistants

    Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “interview patients to complete documents and case histories”. Across the whole of both lists that adds up to about 8% 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 8% 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: 62% of its own task list already scores in the top exposure band (60/100 in this release), so the same software is eating it.

    Look at that job’s page anyway →

  • Paramedics

    Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “maintain patient confidentiality”. Across the whole of both lists that adds up to about 7% 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 7% of the durable side of that job. That is a different job, not a next step.

    Look at that job’s page anyway →

  • Generalist medical practitioners

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already record the results of medical tests, and their equivalent is to diagnose patients' medical conditions using records, reports, test results, and examination information. Across both published task lists that is about 5% of the durable work in that job.

    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. The pay gap is the market pricing a barrier: £55,494 against your £26,958 is 2.06× (ASHE Table 14.7a, 2025 provisional (both)), and you would be crossing it holding about 5% of their durable work. A gap that size with an overlap that small is a wish, not a route.

    Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

  • The headline number you read somewhere

    The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 68% of its task weight, across 45 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: greeting guests entering the medical office 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 Medical Transcriptionists 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 Medical Transcriptionists and Medical Secretaries and Administrative Assistants. 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

Two honest options, and no deadline on either

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.

A nearby route

There's no Space built for medical secretaries yet.

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

What a Space actually is, in full

The closest match is Microsoft 365 Productivity Workers, a community for coordinators, team leads and administrators who live in Outlook, Teams, files and task lists. It overlaps with the Outlook, Teams and shared-mailbox half of your day, not NHS or practice systems, which this Space does not touch. If that overlap isn't you, the free route below covers the same ground.

Try Microsoft 365 Productivity Workers free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

After the trial it is a paid community, and you get identical data either way. If the overlap above is not your job, the moves above cost nothing and stand on their own.

Noted, and thank you. We’ll email you if a Space for medical secretaries launches. Nothing else.

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

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No Space for medical secretaries yet. Should there be one?

Collab365 launches new communities where the need is real. If one for medical secretaries existed, with researched problems, courses and people in the same boat, would you want in?

We use your email address for one thing: to tell you if a Space for medical secretaries launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

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

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Medical secretaries?
Not as a job, but it is already doing parts of the work. Across the 45 official task statements scored for Medical secretaries (United Kingdom, SOC 4211), 68% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 65 out of 100 (range 60–70, 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 “Medical secretaries” can AI already do?
The highest-scoring tasks in release 2026-q4.1 are: “Maintain correspondence files to track communication activities” (93/100, very high); “Proofread records or reports” (93/100, very high); “Use software applications to prepare reports, invoices, and other documents” (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 “Medical secretaries” stay human?
About 20% 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: “Greet guests entering the medical office” (0/100, minimal); “Operate office machines including photocopiers, scanners, and personal computers” (10/100, minimal); “Address questions from patients, staff, and consultants, providing clear and accurate information” (26/100, 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 “Medical secretaries” do about AI?
Start from the ledger rather than the headline: 68% of this job's weighted core work is exposed, and roughly 20% 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 Medical secretaries 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 45 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.
  • 14 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.

How we score a jobDownload this releaseLook up another job

Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

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

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