Will AI replace Taxation experts?

Not as a job, but it is already doing parts of the work. Across the 57 official task statements scored for Taxation experts (United Kingdom, SOC 2423), 41% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 51 out of 100 (range 45–57, band: partial). 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 “Taxation experts” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Calculate form preparation fees according to return complexity and processing time required” (93/100, very high); “Complete entries on tax forms, following instructions and tax tables” (88/100, very high); “Check data input or verify totals on forms to detect errors in arithmetic, data entry, or procedures” (88/100, 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 “Taxation experts” stay human?

About 40% 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: “Visit businesses to interview board directors, solicitors, and accountants” (4/100, minimal); “Represent clients in tribunals” (8/100, minimal); “Lead a team of caseworkers and administrative staff” (13/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Taxation experts” do about AI?

Start from the ledger rather than the headline: 41% of this job's weighted core work is exposed, and roughly 40% 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 Taxation experts 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 57 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.

UK dataswitch to US

Taxation experts

calculating tax liability through detailed computations, resolving problems with tax returns in consultation with taxpayers or their representatives and calculating form preparation fees according to return complexity and processing time. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: completing entries on tax forms is work AI now does quickly and cheaply, and representing clients in tribunals is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 41%
changing shape: 19%
staying human: 40%

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

Whole-job exposure score 51 out of 100 (45–57 allowing for uncertainty): partial exposure, across 57 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 taxation experts 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.

Which half fills your week decides your exposure. Moving toward the second half is a real, doable plan.

Your week, as this page understands it

Taxation experts advise on tax matters and assess tax liabilities. The job title says “taxation experts”. The real job is the part underneath: representing clients in tribunals. 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 taxation experts is not one task. It is 57 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is representing clients in tribunals, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 41%
changing shape: 19%
staying human: 40%

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

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
5 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

23 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.

Calculating tax liability through detailed computations
This is reading one thing and writing another: tax liability in, a record out. That is the shape today's tools are built for.
importance 95 · 2423/00
Source: “Calculate tax liability through detailed computations.” (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: Tax computations follow published rules applied to figures already held, which software does accurately.
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.
Completing entries on tax forms
This is reading one thing and writing another: entries in, a record out. That is the shape today's tools are built for.
importance 90 · 2423/00
Source: “Complete entries on tax forms, following instructions and tax tables.” (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: Filling in tax forms from tax tables and instructions is exactly what software already does.
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.
Collecting necessary data to compute taxes using specialised software
This is reading one thing and writing another: necessary data in, a record out. That is the shape today's tools are built for.
importance 90 · 2423/00
Source: “Collect necessary data to compute taxes using specialised software.” (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: Pulling client data into tax software is routine data handling 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.
Consulting tax law handbooks or bulletins to determine procedures for preparing atypical returns
This is reading one thing and writing another: tax law handbooks in, a record out. That is the shape today's tools are built for.
importance 85 · 2423/00
Source: “Consult tax law handbooks or bulletins to determine procedures for preparing atypical returns.” (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: Handbooks and bulletins are published text, so finding the right procedure for an unusual return is a search task.
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.

Changing shape

10 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.

Applying tax legislation
The software now makes the first pass at tax legislation, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 95 · 2423/00
Source: “Apply tax legislation to companies, partnerships, organisations, and individuals.” (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; someone qualified has to answer for it.
The rating behind it: Tax legislation is published and highly structured, so applying it to a set of facts suits software well.
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 0/4 · how much data exists 3/4.
Considering, and applying taxing law to cases
The software now makes the first pass at law, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 95 · 2423/00
Source: “Consider and apply tax law to cases.” (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; someone qualified has to answer for it.
The rating behind it: Applying tax law to a case is rule-following against published legislation, which software handles well.
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 0/4 · how much data exists 3/4.
Preparing and submitting annual tax returns
The software now makes the first pass at annual tax returns, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 95 · 2423/00
Source: “Prepare and submit annual tax returns.” (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; someone qualified has to answer for it.
The rating behind it: Returns are produced from records under published rules, so software drafts them well, with the adviser taking responsibility for filing.
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 0/4 · how much data exists 3/4.

Staying human

24 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.

Advising clients on minimising tax liability
The rules require a named, qualified person to answer for clients, and that person cannot be a piece of software.
importance 95 · 2423/00
Source: “Advise clients on minimising tax liability.” (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: Reliefs and allowances are well documented, but planning advice comes from an adviser who carries the responsibility.
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.
Providing expert taxation advice
The rules require a named, qualified person to answer for expert taxation advice, and that person cannot be a piece of software.
importance 95 · 2423/00
Source: “Provide expert taxation advice to companies, partnerships, organisations, and individuals.” (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: The technical answer is often straightforward, but clients pay for an adviser who is accountable for it.
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.
Creating tax strategies for clients
The rules require a named, qualified person to answer for tax strategies, and that person cannot be a piece of software.
importance 95 · 2423/00
Source: “Create tax strategies for clients.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Options can be laid out, but a tax strategy depends on knowing the client's plans and standing behind the advice.
The five ratings: output a model can produce 2/4 · 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.

Show the other 47 tasks

Calculating form preparation fees according to return complexity and processing time
shifting to AI
This is reading one thing and writing another: form preparation fees in, a record out. That is the shape today's tools are built for.
importance 80 · 2423/00
Source: “Calculate form preparation fees according to return complexity and processing time 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: Working out a fee from complexity and time is simple arithmetic against a price list.
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 AI
This is reading one thing and writing another: data input in, a record out. That is the shape today's tools are built for.
importance 75 · 2423/00
Source: “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 entries and totals for arithmetic and data errors is exactly what software 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 4/4.
Comparing previously prepared bank statements with cancelled cheques and reconciling discrepancies
shifting to AI
This is reading one thing and writing another: prepared bank statements in, a record out. That is the shape today's tools are built for.
importance 50 · 2423/00
Source: “Compare previously prepared bank statements with cancelled cheques and reconcile discrepancies.” (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: Matching statements against payments is mechanical reconciliation that software already performs faster and more accurately than by hand.
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.
Researching background material to support financial analysis
shifting to AI
This is reading one thing and writing another: background material in, a record out. That is the shape today's tools are built for.
importance 70 · 2423/00
Source: “Research background material to support financial analysis.” (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: Gathering background material for financial analysis is search and summary work software does at scale.
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.
Reviewing financial records to determine forms needed to prepare tax returns
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 80 · 2423/00
Source: “Review financial records to determine forms needed to prepare tax returns.” (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: Reading financial records to see which tax forms are needed is a documented mapping task.
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.
Creating financial presentations for clients
shifting to AI
This is reading one thing and writing another: financial presentations in, a record out. That is the shape today's tools are built for.
importance 65 · 2423/00
Source: “Create financial presentations for clients.” (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: Building a client presentation from the underlying numbers is document work AI does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Creating presentations to communicate findings to clients
shifting to AI
This is reading one thing and writing another: presentations in, a record out. That is the shape today's tools are built for.
importance 65 · 2423/00
Source: “Create presentations to communicate findings to clients.” (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: Turning findings into a clear client deck is well within what software produces.
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.
Making recommendations for changes
shifting to AI
This is reading one thing and writing another: recommendations in, a record out. That is the shape today's tools are built for.
importance 65 · 2423/00
Source: “Make recommendations for changes to procedures, operating systems, budgets, or financial controls.” (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: Reviewing controls and suggesting improvements is analysis and writing AI supports strongly.
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.
Analysing financial transactions and records in business accounts
shifting to AI
This is reading one thing and writing another: financial transactions in, a record out. That is the shape today's tools are built for.
importance 85 · 2423/00
Source: “Analyse financial transactions and records in business accounts.” (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: Sifting transaction records for patterns suits software well, with the tax adviser checking results before they feed anything filed.
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.
Collecting and analysing data to identify issues like deficient controls
shifting to AI
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 85 · 2423/00
Source: “Collect and analyse data to identify issues like deficient controls, fraud, or non-compliance with regulations.” (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: Scanning large volumes of data for anomalies and rule breaches is exactly what software is good at, with the adviser confirming findings.
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.
Examining financial records to ensure accuracy and compliance with regulations
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 85 · 2423/00
Source: “Examine financial records to ensure accuracy and compliance with regulations.” (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: Checking records against rules is systematic testing that software performs quickly across whole datasets, with the adviser reviewing exceptions.
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.
Inspecting account books and accounting systems
shifting to AI
This is reading one thing and writing another: account books in, a record out. That is the shape today's tools are built for.
importance 80 · 2423/00
Source: “Inspect account books and accounting systems for efficiency, effectiveness, and use of accepted accounting procedures to record transactions.” (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: Checking books against accepted procedures is systematic work software can run across all transactions rather than a sample.
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.
Verifying the accuracy of financial accounts
shifting to AI
This is reading one thing and writing another: the accuracy of financial accounts in, a record out. That is the shape today's tools are built for.
importance 80 · 2423/00
Source: “Verify the accuracy of financial accounts.” (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: Cross-checking figures against underlying records is systematic work software does at scale; a tax adviser is not signing an audit opinion.
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.
Preparing and analysing annual reports and financial statements using accepted accounting procedures
shifting to AI
This is reading one thing and writing another: annual reports in, a record out. That is the shape today's tools are built for.
importance 75 · 2423/00
Source: “Prepare and analyse annual reports and financial statements using accepted accounting procedures.” (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: Annual figures are produced from ledger data under published standards, so software drafts and analyses them well.
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.
Reviewing records for compliance with legal and ethical standards
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 75 · 2423/00
Source: “Review records for compliance with legal and ethical standards.” (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: Testing records against written rules is systematic checking that software can apply consistently across everything, not just a sample.
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.
Performing tests to check financial information and systems
shifting to AI
This is reading one thing and writing another: tests in, a record out. That is the shape today's tools are built for.
importance 70 · 2423/00
Source: “Perform tests to check financial information and systems.” (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: Testing samples and reconciling figures is rule-based work software runs at scale, with the adviser judging what the exceptions mean.
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 financial reports for clients
shifting to AI
This is reading one thing and writing another: financial reports in, a record out. That is the shape today's tools are built for.
importance 70 · 2423/00
Source: “Produce financial reports for clients.” (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: Reports are generated from accounting data using standard formats, with the adviser reviewing them before they reach the client.
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.
Collating information from client meetings to inform project direction
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 60 · 2423/00
Source: “Collate information from client meetings to inform project direction.” (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: Turning meeting notes into a clear summary and next steps is routine write-up work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing taxpayers with information and advice for correct tax form completion
shifting to AI
This is reading one thing and writing another: taxpayers in, a record out. That is the shape today's tools are built for.
importance 85 · 2423/00
Source: “Provide taxpayers with information and advice for correct tax form completion.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (57–65 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: Tax form guidance is published in detail and questions repeat, so most of this can be answered automatically and accurately.
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 4/4.
Recommending controls to ensure system reliability and data integrity
changing shape
The software now makes the first pass at controls, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 2423/00
Source: “Recommend controls to ensure system reliability and data integrity.” (UK task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Standard control checklists are well published, but the useful recommendation depends on how this organisation's own systems are set up.
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 2/4.
Reporting asset utilisation and audit findings to management
changing shape
The software now makes the first pass at asset utilisation, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 65 · 2423/00
Source: “Report asset utilisation and audit findings to management.” (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: Drawing findings together into a management report is well-structured writing software handles, with the adviser presenting 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 1/4 · how much data exists 3/4.
Explaining tax law to clients
changing shape
The software now makes the first pass at tax law, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 2423/00
Source: “Explain tax law to clients.” (UK task statement)
How this row was scored
Exposure score: 51 out of 100 (44–58 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; the value is that a specific person does it.
The rating behind it: Tax rules are published and easy to explain plainly, though clients value hearing it from their own adviser.
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 2/4 · how much data exists 4/4.
Preparing detailed reports on audit findings
changing shape
The software now makes the first pass at detailed reports, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 2423/00
Source: “Prepare detailed reports on audit findings.” (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: Writing up findings from test results is well-structured drafting; a tax adviser's review carries no statutory audit responsibility.
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.
Providing guidance on indirect taxation issues
changing shape
The software now makes the first pass at guidance, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 2423/00
Source: “Provide guidance on indirect taxation issues such as VAT, customs planning, and environmental taxes.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: VAT and customs rules are published in detail, so first-pass guidance sits well within software's reach.
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 1/4 · how much data exists 3/4.
Ensuring work and professional practice complies with legal
changing shape
The software now makes the first pass at work, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 80 · 2423/00
Source: “Ensure work and professional practice complies with legal, regulatory and ethical codes, guidelines and principles.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Codes and guidelines are published, but complying with them in practice is something the professional does.
The five ratings: output a model can produce 2/4 · 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.
Engaging with clients to understand their needs and requirements
changing shape
The software now makes the first pass at clients, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 70 · 2423/00
Source: “Engage with clients to understand their needs and requirements.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Clients explain what they actually need in conversation with someone they trust.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Defining the scope of investigation to ensure tax compliance and optimisation
staying human
The rules require a named, qualified person to answer for the scope of investigation, and that person cannot be a piece of software.
importance 85 · 2423/00
Source: “Define the scope of investigation to ensure tax compliance and optimisation.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Data can flag anomalies, but deciding how far an investigation should go is the adviser's professional judgement.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Reviewing whether the organisation's objectives are reflected in its management activities
staying human
The ratings behind this row put whether the organisation's objectives well outside what today's tools can do on their own.
importance 50 · 2423/00
Source: “Review whether the organisation's objectives are reflected in its management activities.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: The method is well described, but the judgement depends on inside knowledge of how this organisation actually runs day to day.
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 1/4 · how much data exists 2/4.
Negotiating with HM Revenue & Customs
staying human
The value here is that a specific person handles HM revenue & customs and stands behind it. That is earned, not computed.
importance 90 · 2423/00
Source: “Negotiate with HM Revenue & Customs (HMRC) to resolve client tax issues.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Letters and calculations draft well from published rules, but settling a dispute means a real negotiation with HMRC's officers.
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 3/4.
Resolving problems with tax returns in consultation with taxpayers or their representatives
staying human
The value here is that a specific person handles problems and stands behind it. That is earned, not computed.
importance 85 · 2423/00
Source: “Resolve problems with tax returns in consultation with taxpayers or their representatives.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Tax rules are published and much checking can be automated, but sorting out a specific return means talking it through with the taxpayer.
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 3/4.
Discussing financial situations and planning with clients
staying human
The value here is that a specific person handles financial situations and stands behind it. That is earned, not computed.
importance 75 · 2423/00
Source: “Discuss financial situations and planning with clients.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Tax rules and options are well documented, so much can be prepared in advance; the conversation itself still needs the adviser.
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 3/4.
Advising the company board on new and emerging financial issues
staying human
The value here is that a specific person handles the company board and stands behind it. That is earned, not computed.
importance 70 · 2423/00
Source: “Advise the company board on new and emerging financial issues.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Briefings on new tax and financial developments can be drafted well, but board-level advice carries weight through the adviser's standing.
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 3/4.
Interviewing clients to determine clients' assets
staying human
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 70 · 2423/00
Source: “Interview clients to determine clients' assets, liabilities, cash flow, insurance coverage, tax status, or financial objectives.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Fact-finding forms are already largely online, but drawing out a full picture of someone's finances still takes a conversation.
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 3/4.
Implementing record-keeping and accounting systems for financial accuracy
staying human
The ratings behind this row put systems well outside what today's tools can do on their own.
importance 75 · 2423/00
Source: “Implement record-keeping and accounting systems for financial accuracy.” (UK task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 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.
The rating behind it: System design guidance is well documented, but putting a new record-keeping system into a real business takes hands-on set-up.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing specialised consultancy services to individuals and companies to enhance their operational efficiency
staying human
The value here is that a specific person handles specialised consultancy services and stands behind it. That is earned, not computed.
importance 70 · 2423/00
Source: “Provide specialised consultancy services to individuals and companies to enhance their operational efficiency.” (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: Generic advice is easy to produce, but consultancy depends on understanding one business and being trusted by it.
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.
Providing legal advice on tax matters
staying human
The rules require a named, qualified person to answer for legal advice, and that person cannot be a piece of software.
importance 90 · 2423/00
Source: “Provide legal advice on tax matters.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Research is strong, but advice on a tax dispute is given by someone professionally answerable for it.
The five ratings: output a model can produce 2/4 · 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.
Creating and organising family trusts according to client specifications
staying human
The rules require a named, qualified person to answer for trusts, and that person cannot be a piece of software.
importance 60 · 2423/00
Source: “Create and organise family trusts according to client specifications.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Trust documents follow standard forms, but setting up a family trust rests on advice someone is answerable for.
The five ratings: output a model can produce 2/4 · 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.
Providing advice to clients on probate activities and estate administration
staying human
The rules require a named, qualified person to answer for advice, and that person cannot be a piece of software.
importance 60 · 2423/00
Source: “Provide advice to clients on probate activities and estate administration.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: General guidance drafts well, but preparing probate papers is reserved work, so an unlicensed adviser can only go so far.
The five ratings: output a model can produce 2/4 · 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.
Investigating cases of fraud and theft
staying human
The ratings behind this row put cases of fraud well outside what today's tools can do on their own.
importance 60 · 2423/00
Source: “Investigate cases of fraud and theft.” (UK task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Data analysis narrows things down quickly, but investigations also need interviews and physical evidence gathered by a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Coordinating inspections and compliance activities with inspectorates and regulatory bodies
staying human
The value here is that a specific person handles inspections and stands behind it. That is earned, not computed.
importance 70 · 2423/00
Source: “Coordinate inspections and compliance activities with inspectorates and regulatory bodies.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 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: Scheduling and paperwork can be prepared automatically, but dealing with inspectors is a live negotiation the adviser handles personally.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Executing financial planning recommendations for clients
staying human
The rules require a named, qualified person to answer for financial planning recommendations, and that person cannot be a piece of software.
importance 60 · 2423/00
Source: “Execute financial planning recommendations for clients.” (UK task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Paperwork can be prepared automatically, but actually putting investment or pension arrangements in place requires an authorised firm to do it.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Managing relationships between HMRC and customers to ensure compliance and customer satisfaction
staying human
The rules require a named, qualified person to answer for relationships, and that person cannot be a piece of software.
importance 80 · 2423/00
Source: “Manage relationships between HMRC and customers to ensure compliance and customer satisfaction.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Correspondence drafts well, but managing a relationship between HMRC and a client depends on trust on both sides.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Supervising personnel in maintaining accurate financial records
staying human
The value here is that a specific person handles personnel and stands behind it. That is earned, not computed.
importance 60 · 2423/00
Source: “Supervise personnel in maintaining accurate financial records.” (UK task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Checks on the records themselves are automated, but supervising the staff who keep them is a people-management job.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Interviewing workers to verify compliance with laws and regulations
staying human
The value here is that a specific person handles workers and stands behind it. That is earned, not computed.
importance 50 · 2423/00
Source: “Interview workers to verify compliance with laws and regulations.” (UK task statement)
How this row was scored
Exposure score: 15 out of 100 (8–22 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Question sets are easy to prepare, but the value comes from reading how people answer, usually face to face on site.
The five ratings: output a model can produce 1/4 · 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 2/4.
Leading a team of caseworkers and administrative staff
staying human
The value here is that a specific person handles a team of caseworkers and stands behind it. That is earned, not computed.
importance 55 · 2423/00
Source: “Lead a team of caseworkers and administrative staff.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Rotas and case data help, but leading a team of caseworkers depends on the manager knowing their people.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Representing clients in tribunals
staying human
This work happens in the physical world: clients, in a real place. Software cannot follow it there.
importance 75 · 2423/00
Source: “Represent clients in tribunals.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (0–20 allowing for uncertainty): minimal exposure, low confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Papers and arguments can be drafted from published case law, but someone must stand up at the hearing and answer the judge live.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Visiting businesses to interview board directors
staying human
This work happens in the physical world: businesses, in a real place. Software cannot follow it there.
importance 55 · 2423/00
Source: “Visit businesses to interview board directors, solicitors, and accountants.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–11 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Visiting a business to question directors and their advisers means sitting across the table from them.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: £49,900a 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: 44,700in 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: tax liability in, a record out. The rows above are exactly that shape: completing entries on tax forms and calculating tax liability through detailed computations. What it cannot do is be answerable: clients need a named person the rules will accept, and software cannot be that person. 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

Your week is splitting in two, and which half fills it is the whole question. Completing entries on tax forms is going; representing clients in tribunals is not.

So, given all that: 41% of this job's task weight sits in rows the software is already learning, 19% in rows that change shape rather than disappear, and 40% in rows it is nowhere near. That is the position, measured across 57 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (representing clients in tribunals) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles representing clients in tribunals, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. 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 taxation experts (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was national government administrative occupations: only about 12% of its durable work is work you already do and it pays 33.8% less. Your own job splits about 41/59: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “advise clients on minimising tax liability”, and let the exposed end go.

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.

National government administrative occupations
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “resolve problems with tax returns in consultation with taxpayers or their representatives”. Across the whole of both lists that adds up to about 12% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: £33,000 against your £49,850, 33.8% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Chartered and certified accountants
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “investigate cases of fraud and theft”. Across the whole of both lists that adds up to about 10% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 10% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Brokers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “discuss financial situations and planning with clients”. 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 →

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: 41% of its task weight, across 57 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
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 Accountants and Auditors 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 Accountants and Auditors, Budget Analysts, Tax Examiners and Collectors, and Revenue Agents and Tax Preparers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

In England:
National Careers Service
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
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
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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:
Skills Bootcamps
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
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers 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 taxation experts, 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 41% of the work on this page is already inside what they can do.

Try The AI Authority free →

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

The AI Authority is a general community about working with AI, not a course for taxation experts. 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 taxation experts launches. Nothing else.

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No Space for taxation experts yet. Should there be one?

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

What a Space actually is, in full

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

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We use your email address for one thing: to tell you if a Space for taxation experts 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 Taxation experts?: Not as a job, but it is already doing parts of the work. Across the 57 official task statements scored for Taxation experts (United Kingdom, SOC 2423), 41% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 51 out of 100 (range 45–57, band: partial). 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 “Taxation experts” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Calculate form preparation fees according to return complexity and processing time required” (93/100, very high); “Complete entries on tax forms, following instructions and tax tables” (88/100, very high); “Check data input or verify totals on forms to detect errors in arithmetic, data entry, or procedures” (88/100, 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 “Taxation experts” stay human?: About 40% 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: “Visit businesses to interview board directors, solicitors, and accountants” (4/100, minimal); “Represent clients in tribunals” (8/100, minimal); “Lead a team of caseworkers and administrative staff” (13/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Taxation experts” do about AI?: Start from the ledger rather than the headline: 41% of this job's weighted core work is exposed, and roughly 40% 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 Taxation experts 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 57 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.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
5 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.

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Cite this

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

Plain text

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

BibTeX

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

Permalink

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

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.