Will AI replace Officers of non-governmental organisations?

Not as a job, but it is already doing parts of the work. Across the 80 official task statements scored for Officers of non-governmental organisations (United Kingdom, SOC 4113), 58% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 59 out of 100 (range 54–65, 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 “Officers of non-governmental organisations” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Check completed work for spelling, grammar, punctuation, and format” (100/100, very high); “Maintain scheduling and event calendars” (93/100, very high); “Perform administrative tasks necessary for business operations” (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 “Officers of non-governmental organisations” stay human?

About 26% 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: “Distribute emergency food supplies to affected individuals” (0/100, minimal); “Recruit new Trade Union members by leading by example” (2/100, minimal); “Maintain good working relationships with employers, other trade unions, senior civil servants, ministers and the specialist media” (2/100, 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 “Officers of non-governmental organisations” do about AI?

Start from the ledger rather than the headline: 58% of this job's weighted core work is exposed, and roughly 26% 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 Officers of non-governmental organisations 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 80 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

Officers of non-governmental organisations

arranging meeting bookings for office personnel, representing individual trade union members in workplace settings and distributing emergency food supplies to affected individuals. 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: drafting meeting agendas for organisational and administrative purposes. The tasks, though, are not you.

Your move: three real directions from here ↓

Where the work sits, by task weight

shifting to AI: 58%
changing shape: 16%
staying human: 26%

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

Whole-job exposure score 59 out of 100 (54–65 allowing for uncertainty): partial exposure, across 80 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 officers of non-governmental organisations is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

It would be a lie to soften that; distributing emergency food supplies to affected individuals is what this work rebuilds around. Your move starts there.

Your week, as this page understands it

Officers of non-governmental organisations perform a variety of administrative and clerical tasks in the running of trade associations, employers’ associations, learned societies, trade unions, charitable organisations and similar bodies. The job title says “officers of non-governmental organisations”. The real job is the part underneath: distributing emergency food supplies to affected individuals. 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 officers of non-governmental organisations is not one task. It is 80 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is distributing emergency food supplies to affected individuals, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 58%
changing shape: 16%
staying human: 26%

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 2026-08-05. Read the full method.

Your job, task by task

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

45 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

47 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.

Arranging meeting bookings for office personnel
This is reading one thing and writing another: bookings in, a record out. That is the shape today's tools are built for.
importance 70 · 4113/01
Source: “Arrange meeting bookings for office personnel.” (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: Finding a slot everyone can make is a scheduling problem software already solves.
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.
Analysing recent and historical documentation and legislation to assess its impact on union activities and interests
This is reading one thing and writing another: recent in, a record out. That is the shape today's tools are built for.
importance 70 · 4113/03
Source: “Analyse recent and historical documentation and legislation to assess its impact on union activities and interests.” (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: Reading legislation and documents and working out what it means for the union is desk analysis.
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.
Maintaining scheduling and event calendars
This is reading one thing and writing another: event calendars in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Maintain scheduling and event calendars.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping diaries and event calendars straight is routine scheduling that software does end to end.
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.
Performing administrative tasks necessary for business operations
This is reading one thing and writing another: this work in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Perform administrative tasks necessary for business operations.” (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: General office administration is the clearest example of work that software now does end to end.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

12 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.

Attending meetings and recording and transcribing minutes
The software now makes the first pass at meetings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 4113/02
Source: “Attend meetings and record and transcribe minutes.” (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: Minute-taking is largely automated already, though attending in person is sometimes expected.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Presenting clear and concise explanations of governing rules and regulations
The software now makes the first pass at clear, 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 60 · 4113/02
Source: “Present clear and concise explanations of governing rules and regulations.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 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: Clear explanations are easy to write, but people asking about rules that affect them want a person.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Drafting contract proposals for collective bargaining or labour negotiations
The software now makes the first pass at contract proposals, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 4113/03
Source: “Draft contract proposals for collective bargaining or labour negotiations.” (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: Drafting bargaining proposals is writing work AI supports well, though the negotiating position comes from private discussions.
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.

Staying human

21 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.

Recommending collective bargaining strategies, goals or objectives
The value here is that a specific person handles collective bargaining strategies, goals or objectives and stands behind it. That is earned, not computed.
importance 60 · 4113/03
Source: “Recommend collective bargaining strategies, goals, or 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 value is that a specific person does it.
The rating behind it: Recommending a bargaining strategy needs a close read of the other side, which rarely sits in any document.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Training local officials and shop stewards in their responsibilities
The value here is that a specific person handles local officials and stands behind it. That is earned, not computed.
importance 60 · 4113/03
Source: “Train local officials and shop stewards in their responsibilities.” (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; the value is that a specific person does it.
The rating behind it: Training material is easy to produce; convincing reps to act on it needs a person they respect.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Greeting visitors or callers and providing initial assistance
This work happens in the physical world: visitors, in a real place. Software cannot follow it there.
importance 60 · 4113/01
Source: “Greet visitors or callers and provide initial assistance.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Calls can be handled automatically, but greeting visitors who walk in cannot.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Show the other 70 tasks

Checking completed work
shifting to AI
This is reading one thing and writing another: completed work in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Check completed work for spelling, grammar, punctuation, and format.” (UK task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking spelling, grammar and formatting is the task computers have done best for longest.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Using computers to manage and update organisational databases
shifting to AI
This is reading one thing and writing another: computers in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Use computers to manage and update organisational databases.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Updating database records is straightforward data handling that software does at speed.
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.
Completing operational forms to facilitate business processes
shifting to AI
This is reading one thing and writing another: operational forms in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Complete operational forms to facilitate business processes.” (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: Filling in standard forms from existing records is routine work software completes accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Distributing meeting notes, routine correspondence or reports, such as presentations or expense, statistical or monthly reports
shifting to AI
This is reading one thing and writing another: notes, routine correspondence or reports in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Distribute meeting notes, routine correspondence, or reports, such as presentations or expense, statistical, or monthly 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: Sending out notes and reports to the right people is a routine distribution job.
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.
Entering information into databases
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 50 · 4113/01
Source: “Enter information into databases.” (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: Data entry is highly repetitive screen work that is already widely automated.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining timekeeping information for payroll processing
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 50 · 4113/01
Source: “Maintain timekeeping information for payroll processing.” (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: Timekeeping data for payroll is structured, rule-based record-keeping that software already handles reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Ordering supplies to support charity operations
shifting to AI
This is reading one thing and writing another: supplies in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Order supplies to support charity operations.” (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: Ordering supplies from known suppliers against known needs is routine purchasing admin.
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.
Performing word processing, desktop publishing and email management using computers
shifting to AI
This is reading one thing and writing another: word processing, desktop publishing and email management in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Perform word processing, desktop publishing, and email management using computers.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Word processing, layout and email handling are computer tasks that software already automates.
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.
Drafting meeting agendas for organisational and administrative purposes
shifting to AI
This is reading one thing and writing another: agendas in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/02
Source: “Draft meeting agendas for organisational and administrative purposes.” (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: Drafting an agenda from previous minutes and requests is straightforward writing software does well.
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 60 · 4113/02
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.
Attaching reviewed records to correspondence
shifting to AI
This is reading one thing and writing another: reviewed records in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Attach reviewed records to correspondence as necessary.” (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: Attaching the right documents to correspondence is a routine filing step software can 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 0/4 · how much data exists 3/4.
Drafting responses to routine enquiries received via correspondence
shifting to AI
This is reading one thing and writing another: responses in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Draft responses to routine enquiries received via correspondence.” (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: Drafting replies to routine enquiries is one of the things AI 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.
Composing articles for union journals
shifting to AI
This is reading one thing and writing another: articles in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Compose articles for union journals.” (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: Writing journal articles is straightforward drafting work once the subject and angle are set.
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.
Preparing press releases to communicate union activities and member interests
shifting to AI
This is reading one thing and writing another: press releases in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Prepare press releases to communicate union activities and member interests.” (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: Press releases follow a standard shape and are quick to draft to a publishable standard.
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.
Producing publicity material, newsletters and vacancy bulletins
shifting to AI
This is reading one thing and writing another: publicity material, newsletters and vacancy bulletins in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Produce publicity material, newsletters, and vacancy bulletins.” (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: Newsletters and bulletins are routine publishing work that drafting and layout tools handle well.
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.
Transferring telephone calls
shifting to AI
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 50 · 4113/01
Source: “Transfer telephone calls as necessary.” (UK task statement)
How this row was scored
Exposure score: 85 out of 100 (81–89 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Routing calls to the right person is already handled automatically in most phone systems.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Providing statistical data and other information to support negotiations
shifting to AI
This is reading one thing and writing another: statistical data in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Provide statistical data and other information to support negotiations, bargaining and representation.” (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: Pulling pay and workforce statistics together for bargaining uses widely published data and standard analysis.
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.
Administering payroll to manage staff compensation
shifting to AI
This is reading one thing and writing another: payroll in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Administer payroll to manage staff compensation.” (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: Payroll runs on rules and set rates, which software already handles almost entirely.
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 and submitting governmental reports on labour relations matters
shifting to AI
This is reading one thing and writing another: governmental reports in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Prepare and submit governmental reports on labour relations matters.” (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: Preparing statutory reports on labour relations is structured form and reporting work AI completes accurately.
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 appointments for clients, customers or supervisors
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 50 · 4113/01
Source: “Schedule appointments for clients, customers, or supervisors.” (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 appointments against a diary is routine scheduling that 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 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Responding to customer correspondence by writing letters
shifting to AI
This is reading one thing and writing another: customer correspondence in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Respond to customer correspondence by writing letters.” (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: Replying to correspondence with letters is exactly the kind of 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 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Arranging grievance hearings or meetings
shifting to AI
This is reading one thing and writing another: grievance hearings in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Arrange grievance hearings or meetings.” (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: Arranging hearings and meetings is scheduling and correspondence that software already handles almost entirely.
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.
Responding to internal and external research enquiries
shifting to AI
This is reading one thing and writing another: internal and external research enquiries in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Respond to internal and external research enquiries.” (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 research enquiries from documented sources is well suited to 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.
Building and maintaining databases to support organisational operations and data management
shifting to AI
This is reading one thing and writing another: databases in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Build and maintain databases to support organisational operations and data management.” (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: Software writes most database code, but how a business's data should be structured is a design decision.
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.
Preparing conference or event materials
shifting to AI
This is reading one thing and writing another: conference in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Prepare conference or event materials, such as flyers or invitations.” (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: Flyers and invitations can be drafted and designed quickly, though the event details come from the office.
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.
Setting work procedures for administrative staff to enhance efficiency and organisation
shifting to AI
This is reading one thing and writing another: work procedures in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Set work procedures for administrative staff to enhance efficiency and organisation.” (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: Written procedures follow well-known patterns and can be drafted from how the office already works.
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.
Maintaining records management systems as part of general office duties
shifting to AI
This is reading one thing and writing another: records management systems in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Maintain records management systems as part of general office duties.” (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: Maintaining a records system is structured office administration.
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.
Preparing papers for consideration and presentation
shifting to AI
This is reading one thing and writing another: papers in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Prepare papers for consideration and presentation by executives, committees, and boards of directors.” (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: Preparing board papers from existing material is document work AI drafts 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.
Providing administrative support to managerial staff and heads of organisations
shifting to AI
This is reading one thing and writing another: administrative support in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Provide administrative support to managerial staff and heads of organisations.” (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: General administrative support for managers is document and scheduling 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.
Reviewing processes and procedures to identify improvements to quality and efficiency
shifting to AI
This is reading one thing and writing another: processes in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “Review processes and procedures to identify improvements to quality and efficiency.” (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 processes for improvements is documented analysis 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.
Applying qualitative and quantitative methodologies to research projects for the union on economic
shifting to AI
This is reading one thing and writing another: qualitative in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/03
Source: “Apply qualitative and quantitative methodologies to research projects for the union on economic, social, political and industrial issues.” (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: Running research on economic and workplace questions uses well-documented methods and available data.
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.
Collating information and producing reports to inform and develop union policy
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 · 4113/03
Source: “Collate information and produce reports to inform and develop union policy.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling information together into policy reports is drafting work that software does to a good standard.
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.
Developing methods to monitor employee satisfaction with policies
shifting to AI
This is reading one thing and writing another: methods in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Develop methods to monitor employee satisfaction with policies, working conditions, and grievance procedures.” (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: Designing ways to measure staff satisfaction with policies and grievance handling is well-documented survey and analysis 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 0/4 · how much data exists 3/4.
Maintaining attendance records for educational or organisational purposes
shifting to AI
This is reading one thing and writing another: attendance records in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Maintain attendance records for educational or organisational purposes.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Registers are digital and largely automatic, though someone still sees who is actually present.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Filing and retrieving corporate documents
shifting to AI
This is reading one thing and writing another: corporate documents in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/02
Source: “File and retrieve corporate documents, records, and reports.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Documents are mostly stored and searched electronically, so filing and finding them is already largely automated.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing financial reports for organisational and client review
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 60 · 4113/01
Source: “Prepare financial reports for organisational and client review.” (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: Producing financial reports from the accounts is well-documented work AI drafts well, ahead of trustees or funders reviewing them.
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.
Taking and relaying messages accurately to relevant parties
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 60 · 4113/01
Source: “Take and relay messages accurately to relevant parties.” (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: Capturing a message and passing it on is simple, well-documented work software handles.
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.
Handling their enquiries or directing them to the appropriate persons according to their needs
shifting to AI
This is reading one thing and writing another: their enquiries in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Handle their enquiries or direct them to the appropriate persons according to their needs.” (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: Answering or passing on an enquiry follows patterns, though some judgement about who deals with it is needed.
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 callers with accurate information and assistance
shifting to AI
This is reading one thing and writing another: callers in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Provide callers with accurate information and assistance.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Giving callers accurate information is answerable from records, which AI can search instantly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Answering telephone calls and taking messages
shifting to AI
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 50 · 4113/02
Source: “Answer telephone calls and take messages.” (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: Taking calls and passing on messages is simple, well-defined work that software already handles.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Providing briefings and bulletins on behalf of the union to other officers
shifting to AI
This is reading one thing and writing another: briefings in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/03
Source: “Provide briefings and bulletins on behalf of the union to other officers, activists, members and MPs.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Briefings and bulletins are summarising work that software does quickly from source material.
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.
Preparing and processing cheques for financial transactions
shifting to AI
This is reading one thing and writing another: cheques in, a record out. That is the shape today's tools are built for.
importance 60 · 4113/01
Source: “Prepare and process cheques for financial transactions.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Preparing cheques is largely automated, though someone must physically sign and send them and an authorised signatory approves.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Disbursing funds from cash accounts to pay bills or invoices
shifting to AI
This is reading one thing and writing another: funds in, a record out. That is the shape today's tools are built for.
importance 50 · 4113/01
Source: “Disburse funds from cash accounts to pay bills or invoices.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Paying bills from a charity's accounts is routine system work, though someone with signing authority still has to release the money.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording information and updating paperwork in filing systems
changing shape
The software now makes the first pass at information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 4113/01
Source: “Record information and update paperwork in filing systems.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Updating records is routine, though paper files still need handling.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising on health and safety policies
changing shape
The software now makes the first pass at health, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 4113/03
Source: “Advise on health and safety policies.” (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: Health and safety guidance is publicly documented, so AI drafts it well, but an organisation still wants a competent person advising.
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.
Drafting rules or regulations for collective bargaining activities in collaboration with stakeholders
changing shape
The software now makes the first pass at rules, 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 50 · 4113/03
Source: “Draft rules or regulations for collective bargaining activities in collaboration with stakeholders.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 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: Drafting bargaining rules is document work, but agreeing them with the other side is a negotiation between people.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Coordinating delivery of orders to support charity operations
changing shape
The software now makes the first pass at delivery of orders, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 4113/01
Source: “Coordinate delivery of orders to support charity operations.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (44–52 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: Coordinating deliveries is scheduling and messaging work that systems handle well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning and coordinating meetings and events
changing shape
The software now makes the first pass at meetings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 4113/01
Source: “Plan and coordinate meetings and events.” (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; mistakes that are cheap to catch.
The rating behind it: Planning is desk work, but running an event on the day needs someone there.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Organising transport for donated goods
changing shape
The software now makes the first pass at transport, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 4113/01
Source: “Organise transport for donated goods.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (44–52 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: Arranging transport for goods is booking and coordination work that systems handle well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising management on employee discipline procedures
changing shape
The software now makes the first pass at management, 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 60 · 4113/03
Source: “Advise management on employee discipline procedures.” (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: 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: Discipline procedures are publicly documented so AI drafts good guidance, but managers want a person they trust to advise them.
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 3/4.
Interpreting and advising on employment law
changing shape
The software now makes the first pass at employment 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 60 · 4113/03
Source: “Interpret and advise on employment law.” (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: 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: Employment law is publicly documented so AI explains it well, and in Britain a union officer may advise on it without a licence.
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 3/4.
Interpreting contractual agreements for employers and employees engaged in collective bargaining or other labour relations processes
changing shape
The software now makes the first pass at contractual agreements, 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 50 · 4113/03
Source: “Interpret contractual agreements for employers and employees engaged in collective bargaining or other labour relations processes.” (UK task statement)
How this row was scored
Exposure score: 41 out of 100 (34–48 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the value is that a specific person does it.
The rating behind it: Reading across an agreement is documented interpretation AI supports, but members trust an officer who knows their workplace.
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 2/4.
Opening, sorting and distributing incoming correspondence, including faxes and email
staying human
This work happens in the physical world: correspondence, including faxes and email, in a real place. Software cannot follow it there.
importance 50 · 4113/02
Source: “Open, sort, and distribute incoming correspondence, including faxes and email.” (UK task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Email can be sorted and routed automatically, but opening and passing round physical post still needs someone in the office.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising clients on resolving contractual claims and disputes
staying human
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Advise clients on resolving contractual claims and disputes.” (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: General advice can be drafted, but disputes turn on details the client only reveals in 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.
Investigating and evaluating trade union complaints or arguments to determine viability
staying human
The value here is that a specific person handles trade union complaints and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Investigate and evaluate trade union complaints or arguments to determine viability.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Weighing up union complaints needs an understanding of the workplace and the people involved that documents rarely hold.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Supervising administrative work and managing clerical staff
staying human
The value here is that a specific person handles administrative work and stands behind it. That is earned, not computed.
importance 50 · 4113/02
Source: “Supervise administrative work and manage clerical staff.” (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; the value is that a specific person does it.
The rating behind it: Supervising clerical staff depends on the supervisor being around and known to the team.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Training managers on labour relations topics
staying human
The value here is that a specific person handles managers and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Train managers on labour relations topics including working conditions and safety.” (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; the value is that a specific person does it.
The rating behind it: Labour relations material is easy to prepare, but training managers works through discussion and their questions.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Ensuring that money collected is properly
staying human
This work happens in the physical world: money collected, in a real place. Software cannot follow it there.
importance 50 · 4113/01
Source: “Ensure that money collected is properly recorded and secured.” (UK task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 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: Recording money is system work, but making sure cash is physically safe means someone handling and locking it away.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calling interested parties to discuss labour relations matters
staying human
The value here is that a specific person handles interested parties and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Call interested parties to discuss labour relations matters.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Ringing round to discuss labour relations matters is a personal conversation carried by who is making the call.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Monitoring the daily work of clerical staff
staying human
The value here is that a specific person handles the daily work of clerical staff and stands behind it. That is earned, not computed.
importance 50 · 4113/01
Source: “Monitor the daily work of clerical staff.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Supervising people day to day depends on being present and known to the team.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Facilitating member and laying rep involvement in the union's democratic structures
staying human
The value here is that a specific person handles member and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Facilitate member and lay rep involvement in the union's democratic structures.” (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: Getting members involved in union structures depends on personal encouragement from someone they know.
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.
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 60 · 4113/01
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.
Managing the processing of incoming and outgoing post and deliveries
staying human
This work happens in the physical world: the processing, in a real place. Software cannot follow it there.
importance 50 · 4113/01
Source: “Manage the processing of incoming and outgoing post and deliveries.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Post has to be physically sorted, carried and dispatched.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Posting newsletters, promotional material or other information
staying human
This work happens in the physical world: newsletters, promotional material or other information, in a real place. Software cannot follow it there.
importance 50 · 4113/01
Source: “Post newsletters, promotional material, or other information.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Getting newsletters and material out the door is physical packing and posting.
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.
Motivating activists to engage in delivering key trade union outcomes
staying human
The value here is that a specific person handles activists and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Motivate activists to engage in delivering key trade union outcomes.” (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 value is that a specific person does it.
The rating behind it: Motivating volunteers to act comes from personal example and trust, not from written prompts.
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 1/4.
Negotiating bargaining agreements
staying human
The value here is that a specific person handles agreements and stands behind it. That is earned, not computed.
importance 60 · 4113/03
Source: “Negotiate bargaining agreements.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 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: Bargaining an agreement is built on live trust and private negotiating room; the outcome depends on the relationship, not the paperwork.
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 3/4 · how much data exists 1/4.
Representing individual trade union members in workplace settings
staying human
This work happens in the physical world: individual trade union members, in a real place. Software cannot follow it there.
importance 60 · 4113/03
Source: “Represent individual trade union members in workplace settings.” (UK task statement)
How this row was scored
Exposure score: 4 out of 100 (0–8 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: Standing beside a member in a grievance or disciplinary meeting depends on being there for 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.
Maintaining good working relationships with employers
staying human
The value here is that a specific person handles good working relationships and stands behind it. That is earned, not computed.
importance 50 · 4113/03
Source: “Maintain good working relationships with employers, other trade unions, senior civil servants, ministers and the specialist media.” (UK task statement)
How this row was scored
Exposure score: 2 out of 100 (0–6 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Long-running relationships with employers, ministers and journalists are built person to person over years.
The five ratings: output a model can produce 0/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Recruiting new Trade Union members by leading by example
staying human
This work happens in the physical world: new trade union members, in a real place. Software cannot follow it there.
importance 50 · 4113/03
Source: “Recruit new Trade Union members by leading by example.” (UK task statement)
How this row was scored
Exposure score: 2 out of 100 (0–6 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: Recruiting members by setting an example is entirely about who you are to your colleagues.
The five ratings: output a model can produce 0/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Distributing emergency food supplies to affected individuals
staying human
This work happens in the physical world: emergency food supplies, in a real place. Software cannot follow it there.
importance 60 · 4113/01
Source: “Distribute emergency food supplies to affected individuals.” (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: Getting food into people’s hands in an emergency is physical work done in person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: £31,000a 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: 64,600in 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: agendas in, a record out. The rows above are exactly that shape: drafting meeting agendas for organisational and administrative purposes and arranging meeting bookings for office personnel. What it cannot do is be there in the room, and that is still where emergency food supplies get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

The exposed part of your job is the biggest part, and I am not going to dress that up: drafting meeting agendas for organisational and administrative purposes is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 58% of this job's task weight sits in rows the software is already learning, 16% in rows that change shape rather than disappear, and 26% in rows it is nowhere near. That is the position, measured across 80 scored tasks. It is not a forecast about you.

What you have that the software does not is distributing emergency food supplies to affected individuals, 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 agendas 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 agendas, 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 drafting meeting agendas for organisational and administrative purposes” 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 distributing emergency food supplies to affected individuals 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 officers of non-governmental organisations (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was personal assistants and other secretaries: only about 18% of its durable work is work you already do and it is under the same pressure this job is. Your own job splits about 58/42: 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 “attend meetings and record and transcribe minutes”, 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.

Personal assistants and other secretaries
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “greet visitors or callers and provide initial assistance”. Across the whole of both lists that adds up to about 18% 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 18% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. I will not move you off one melting floe onto another: 76% of its own task list already scores in the top exposure band (65/100 in this release), so the same software is eating it.
Look at that job’s page anyway →
School secretaries
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “greet visitors or callers and provide initial assistance”. Across the whole of both lists that adds up to about 15% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 15% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: £26,463 against your £31,008, 14.7% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Other administrative occupations n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “monitor the daily work of clerical staff”. Across the whole of both lists that adds up to about 14% 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 14% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. I will not move you off one melting floe onto another: 64% of its own task list already scores in the top exposure band (62/100 in this release), so the same software is eating it.
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: 58% of its task weight, across 80 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: distributing emergency food supplies to affected individuals 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 Procurement Clerks 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:

Office Clerks, General

In US official statistics this job is counted as Procurement Clerks and Office Clerks, General. 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.

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
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
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

A nearby route

There's no Space built for charity and NGO officers 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, administrators and team leads who run their working day in Outlook, Teams, meetings, files and task lists. It overlaps with the part of your job that is growing: running committees, papers and follow-ups as one system rather than as email threads. 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 charity and NGO officers launches. Nothing else.

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

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

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

Questions people ask about this job

Will AI replace Officers of non-governmental organisations?: Not as a job, but it is already doing parts of the work. Across the 80 official task statements scored for Officers of non-governmental organisations (United Kingdom, SOC 4113), 58% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 59 out of 100 (range 54–65, 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 “Officers of non-governmental organisations” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Check completed work for spelling, grammar, punctuation, and format” (100/100, very high); “Maintain scheduling and event calendars” (93/100, very high); “Perform administrative tasks necessary for business operations” (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 “Officers of non-governmental organisations” stay human?: About 26% 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: “Distribute emergency food supplies to affected individuals” (0/100, minimal); “Recruit new Trade Union members by leading by example” (2/100, minimal); “Maintain good working relationships with employers, other trade unions, senior civil servants, ministers and the specialist media” (2/100, 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 “Officers of non-governmental organisations” do about AI?: Start from the ledger rather than the headline: 58% of this job's weighted core work is exposed, and roughly 26% 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 Officers of non-governmental organisations 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 80 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.
45 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 job Download this release Look 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 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.