Will AI replace Information technology trainers?

Not as a job, but it is already doing parts of the work. Across the 52 official task statements scored for Information technology trainers (United Kingdom, SOC 3573), 59% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 55 out of 100 (range 49–62, 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 “Information technology trainers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Develop training manuals, multimedia visual aids, and other educational materials” (93/100, very high); “Arrange classes based on availability of classrooms, equipment, or instructors” (93/100, very high); “Monitor training costs to ensure budget compliance” (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 “Information technology trainers” stay human?

About 33% 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: “Set up IT equipment where appropriate” (0/100, minimal); “Deliver in-person training programmes” (10/100, minimal); “Evaluate instructors' teaching performance” (11/100, 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 “Information technology trainers” do about AI?

Start from the ledger rather than the headline: 59% of this job's weighted core work is exposed, and roughly 33% 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 Information technology trainers 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 52 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

Information technology trainers

teaching it skills, developing informal training activities for information technology and designing induction and training programmes for employees or customers. 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: developing training manuals, multimedia visual aids and other educational materials. The tasks, though, are not you.

Your move: three real directions from here ↓

Where the work sits, by task weight

shifting to AI: 59%
changing shape: 8%
staying human: 33%

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

Whole-job exposure score 55 out of 100 (49–62 allowing for uncertainty): partial exposure, across 52 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 information technology trainers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

It would be a lie to soften that; delivering in-person training programmes is what this work rebuilds around. Your move starts there.

Your week, as this page understands it

Information technology trainers provide instruction in the use of computers for professional and personal purposes and advise on, plan and organise IT training within industrial, commercial and other establishments. The job title says “information technology trainers”. The real job is the part underneath: delivering in-person training programmes. 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 information technology trainers is not one task. It is 52 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is delivering in-person training programmes, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 59%
changing shape: 8%
staying human: 33%

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

How we know this

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

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

Your job, task by task

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

2 rows are marked low confidence, so treat them as a ballpark rather than a fine measurement.
31 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

31 tasks

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

Designing new training programmes or adapt existing ones
This is reading one thing and writing another: new training programmes in, a record out. That is the shape today's tools are built for.
importance 75 · 3573/00
Source: “Design new training programmes or adapt existing ones.” (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 and updating training programmes is structured content work that AI produces to a usable 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 training materials to enhance employee skills and knowledge
This is reading one thing and writing another: materials in, a record out. That is the shape today's tools are built for.
importance 75 · 3573/00
Source: “Develop training materials to enhance employee skills and knowledge.” (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: Training materials draft well, though machine-specific safety content has to be right for the equipment in use.
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.
Identifying training needs
This is reading one thing and writing another: needs in, a record out. That is the shape today's tools are built for.
importance 75 · 3573/00
Source: “Identify training 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: Skills gaps can be surveyed and analysed from data, with the trainer checking the findings against what they see.
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.
Developing training manuals, multimedia visual aids and other educational materials
This is reading one thing and writing another: manuals, multimedia visual aids and other educational materials in, a record out. That is the shape today's tools are built for.
importance 70 · 3573/00
Source: “Develop training manuals, multimedia visual aids, and other educational materials.” (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: Manuals, visual aids and learning materials are content production, which current tools produce to a usable 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.

Changing shape

4 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.

Agreeing on learning objectives
The software now makes the first pass at learning objectives, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 70 · 3573/00
Source: “Agree on learning objectives.” (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: Objectives can be drafted from a template, though they are agreed in conversation with the group.
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.
Supporting and coaching learners using learning technologies to deliver skills
The software now makes the first pass at learners, 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 65 · 3573/00
Source: “Support and coach learners using learning technologies to deliver skills.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coaching a learner through difficulties depends on encouragement and reading how they are getting on, which needs a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Selecting and assigning instructors to conduct training
The software now makes the first pass at instructors, 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 · 3573/00
Source: “Select and assign instructors to conduct training.” (UK task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 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: Matching instructors to courses by availability and subject is schedulable, but judging who teaches well comes from knowing them.
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 2/4.

Staying human

17 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.

Teaching it skills
The value here is that a specific person handles it skills and stands behind it. That is earned, not computed.
importance 85 · 3573/00
Source: “Teach it skills.” (UK task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The subject matter is thoroughly documented online, so the content is easy to generate; the live teaching still carries the value.
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 4/4.
Delivering training courses to enhance IT skills and competencies
The value here is that a specific person handles courses and stands behind it. That is earned, not computed.
importance 85 · 3573/00
Source: “Deliver training courses to enhance IT skills and competencies.” (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: Course content is easy for software to produce, but courses are usually delivered live and learners respond to the person teaching.
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.
Conducting training programmes to improve IT proficiency
The value here is that a specific person handles programmes and stands behind it. That is earned, not computed.
importance 80 · 3573/00
Source: “Conduct training programmes to improve IT proficiency.” (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: Running a training programme means responding to a room of learners, though the material behind it is easy to produce automatically.
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.

Show the other 42 tasks

Arranging classes based on availability of classrooms
shifting to AI
This is reading one thing and writing another: classes in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Arrange classes based on availability of classrooms, equipment, or instructors.” (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: Fitting classes around rooms, kit and tutors is scheduling that software solves quickly.
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.
Monitoring training costs to ensure budget compliance
shifting to AI
This is reading one thing and writing another: costs in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Monitor training costs to ensure budget compliance.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracking spend against a training budget is routine finance work software does.
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.
Creating digital media and other digital assets to agreed specifications using specialist learning technologies
shifting to AI
This is reading one thing and writing another: digital media in, a record out. That is the shape today's tools are built for.
importance 70 · 3573/00
Source: “Create digital media and other digital assets to agreed specifications using specialist learning technologies.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Making digital learning material is screen-based production work with abundant examples to learn from, which software now 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 4/4.
Developing informal training activities for information technology
shifting to AI
This is reading one thing and writing another: informal training activities in, a record out. That is the shape today's tools are built for.
importance 65 · 3573/00
Source: “Develop informal training activities for information technology.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Designing informal learning activities is writing work with countless published examples, so software produces usable material quickly.
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.
Developing online career learning resources for career guidance and IT training
shifting to AI
This is reading one thing and writing another: online career learning resources in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Develop online career learning resources for career guidance and IT training.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: There is abundant published careers material, so software can produce most of an online resource for review.
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.
Reading current literature to stay informed about field-specific developments
shifting to AI
This is reading one thing and writing another: current literature in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Read current literature to stay informed about field-specific developments.” (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: Keeping up with technology developments is published, text-based work that these tools gather and summarise continuously.
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.
Informing management of training programme status through updates
shifting to AI
This is reading one thing and writing another: management of training programme status in, a record out. That is the shape today's tools are built for.
importance 50 · 3573/00
Source: “Inform management of training programme status through updates.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (72–86 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: Status updates are written from project records, which software can pull together.
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.
Designing digital learning outputs aligned with learning outcomes and objectives
shifting to AI
This is reading one thing and writing another: digital learning outputs in, a record out. That is the shape today's tools are built for.
importance 70 · 3573/00
Source: “Design digital learning outputs aligned with learning outcomes and objectives.” (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: Designing learning around stated outcomes follows well-documented method, so software can produce a solid draft from the objectives and audience.
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.
Designing training programmes to enhance specific job-related skills
shifting to AI
This is reading one thing and writing another: programmes in, a record out. That is the shape today's tools are built for.
importance 70 · 3573/00
Source: “Design training programmes to enhance specific job-related skills.” (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: Programme structures and content are well documented, so a solid draft is quick to produce.
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.
Designing induction and training programmes for employees or customers
shifting to AI
This is reading one thing and writing another: induction in, a record out. That is the shape today's tools are built for.
importance 65 · 3573/00
Source: “Design induction and training programmes for employees or customers.” (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: Induction and training programmes follow well-documented patterns software can draft.
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.
Expanding training and development programmes to cover new skill areas
shifting to AI
This is reading one thing and writing another: development programmes in, a record out. That is the shape today's tools are built for.
importance 65 · 3573/00
Source: “Expand training and development programmes to cover new skill areas.” (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: Extending a programme into new skill areas is course design work software 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.
Assessing training materials
shifting to AI
This is reading one thing and writing another: materials in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Assess training materials prepared by instructors, such as outlines, text, or handouts.” (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: Checking handouts and outlines against standards is document review software 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.
Defining the skill sets needed to perform different roles
shifting to AI
This is reading one thing and writing another: the skill sets in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Define the skill sets needed to perform different roles.” (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: Role skill requirements follow published frameworks and internal job data, making this straightforward for software to draft.
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.
Determining an appropriate learning design and development strategy to ensure design objectives are met within budget and time constraints
shifting to AI
This is reading one thing and writing another: an appropriate learning design in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Determine an appropriate learning design and development strategy to ensure design objectives are met within budget and time constraints.” (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: Choosing an approach within budget and time limits is planning work software can draft well from the constraints given.
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 appropriate records of learner development and resource allocation
shifting to AI
This is reading one thing and writing another: appropriate records of learner development in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Maintain appropriate records of learner development and resource allocation.” (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: Records write up quickly, but the judgement about a learner's progress comes from the teacher.
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.
Organising or developing the obtained training materials
shifting to AI
This is reading one thing and writing another: the obtained training materials in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Organise or develop the obtained training materials.” (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: Sorting and shaping training materials is document work software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conducting surveys to identify training needs based on other factors
shifting to AI
This is reading one thing and writing another: surveys in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Conduct surveys to identify training needs based on other factors.” (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: Survey design and analysis for training needs is structured work tools handle well, though getting responses needs 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 0/4 · how much data exists 3/4.
Developing training programmes on efficiency and environmental impact issues
shifting to AI
This is reading one thing and writing another: programmes in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Develop training programmes on efficiency and environmental impact issues.” (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: Training material on efficiency and environmental impact is well documented and easy to draft.
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.
Evaluating modes of training delivery to minimise training costs
shifting to AI
This is reading one thing and writing another: modes of training delivery in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Evaluate modes of training delivery to minimise training costs.” (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: Comparing delivery options on cost is analysis software 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.
Maintaining accurate records
shifting to AI
This is reading one thing and writing another: accurate records in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Maintain accurate records.” (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: Keeping records accurate is routine screen work software does reliably.
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.
Advising on good practice in learning design to enhance performance
shifting to AI
This is reading one thing and writing another: good practice in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Advise on good practice in learning design to enhance performance, knowledge, skills, and behaviours.” (UK task statement)
How this row was scored
Exposure score: 70 out of 100 (63–77 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: Good practice in learning design is well published, so software can give sound advice; the value is in tailoring it to the organisation.
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 4/4.
Focusing on the use of learning technologies
shifting to AI
It is the same call made over and over on the use of learning technologies, with a right answer to check it against. That is what a model is trained on.
importance 70 · 3573/00
Source: “Focus on the use of learning technologies.” (UK task statement)
How this row was scored
Exposure score: 65 out of 100 (53–77 allowing for uncertainty): high exposure, low confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Applying learning technology is screen work with plenty of published guidance, though how much software can take over here is unclear.
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 0/4 · how much data exists 4/4.
Analysing learning needs, encompassing both knowledge and skills
shifting to AI
This is reading one thing and writing another: needs, encompassing both knowledge and skills in, a record out. That is the shape today's tools are built for.
importance 65 · 3573/00
Source: “Analyse learning needs, encompassing both knowledge and skills.” (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: Comparing what people can do against what a role needs is a paperwork analysis software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Carrying out performance assessments to determine the skills gap between current and desirable learner skill levels
shifting to AI
This is reading one thing and writing another: performance assessments in, a record out. That is the shape today's tools are built for.
importance 65 · 3573/00
Source: “Carry out performance assessments to determine the skills gap between current and desirable learner skill levels.” (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: Comparing current skills against a target is an assessment task AI can structure and score.
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.
Communicating learning design and development strategies to stakeholders using appropriate digital tools
shifting to AI
This is reading one thing and writing another: design in, a record out. That is the shape today's tools are built for.
importance 60 · 3573/00
Source: “Communicate learning design and development strategies to stakeholders using appropriate digital tools, supported by business and technical justifications.” (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: Writing up a strategy with business and technical reasoning is document work software does well, though it must be argued with real stakeholders.
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.
Developing alternative training methods if expected improvements are not seen
shifting to AI
This is reading one thing and writing another: alternative training methods if expected improvements are not in, a record out. That is the shape today's tools are built for.
importance 55 · 3573/00
Source: “Develop alternative training methods if expected improvements are not seen.” (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: Alternative teaching approaches are well documented, so software can suggest and draft them for the trainer to try.
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.
Devising programmes to develop executive potential among employees in lower-level positions
shifting to AI
This is reading one thing and writing another: programmes in, a record out. That is the shape today's tools are built for.
importance 50 · 3573/00
Source: “Devise programmes to develop executive potential among employees in lower-level positions.” (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: Designing a scheme to develop future leaders follows well-documented approaches.
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 operational feedback to management
changing shape
The software now makes the first pass at operational feedback, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 3573/00
Source: “Provide operational feedback to management.” (UK task statement)
How this row was scored
Exposure score: 57 out of 100 (50–64 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Writing up what you have seen on the round is ordinary reporting, though the useful detail is local knowledge.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Managing the roll-out of new projects
staying human
The value here is that a specific person handles the roll-out of new projects and stands behind it. That is earned, not computed.
importance 50 · 3573/00
Source: “Manage the roll-out of new projects.” (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: Roll-outs need chasing people and reacting to surprises, which is more coordination than paperwork.
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.
Attending seminars to obtain programme ideas
staying human
This work happens in the physical world: seminars, in a real place. Software cannot follow it there.
importance 50 · 3573/00
Source: “Attend seminars to obtain programme ideas, information, or resources.” (UK task statement)
How this row was scored
Exposure score: 29 out of 100 (17–41 allowing for uncertainty): low exposure, low 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: Software can gather ideas and resources far faster, though attending in person is the task as written.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Implementing employee placement programmes to enhance IT skills and knowledge
staying human
The value here is that a specific person handles employee placement programmes and stands behind it. That is earned, not computed.
importance 60 · 3573/00
Source: “Implement employee placement programmes to enhance IT skills and knowledge.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Running a placement scheme means arranging things between real people and workplaces, which software can support but not run.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Coordinating with external partners to address the organisation's skills development needs
staying human
The value here is that a specific person handles external partners and stands behind it. That is earned, not computed.
importance 50 · 3573/00
Source: “Coordinate with external partners to address the organisation's skills development needs.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Working with outside partners rests on ongoing relationships and negotiation, which software can prepare for but not conduct.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Facilitating design activities with HR departments and external partners
staying human
The value here is that a specific person handles design activities and stands behind it. That is earned, not computed.
importance 50 · 3573/00
Source: “Facilitate design activities with HR departments and external partners.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Running design workshops with HR and partners depends on live discussion, though the preparation and write-up are easy to automate.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Delivering feedback to learners to support their development
staying human
The value here is that a specific person handles feedback and stands behind it. That is earned, not computed.
importance 75 · 3573/00
Source: “Deliver feedback to learners to support their development.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Written feedback drafts easily, but development conversations work because a learner trusts who is giving them.
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 3/4 · how much data exists 3/4.
Adapting the learning environment and resources to meet learner needs
staying human
This work happens in the physical world: the learning environment, in a real place. Software cannot follow it there.
importance 50 · 3573/00
Source: “Adapt the learning environment and resources to meet learner needs.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Resources can be adapted on screen, but changing the room itself needs someone there.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Using diverse instructional techniques, including role playing and simulations, to present information
staying human
This work happens in the physical world: diverse instructional techniques, including role playing and simulations, in a real place. Software cannot follow it there.
importance 75 · 3573/00
Source: “Use diverse instructional techniques, including role playing and simulations, to present information.” (UK task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 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: Role play and simulation need people taking part, though the exercises can be written in advance.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Participating in training events to enhance professional skills
staying human
The value here is that a specific person handles training events and stands behind it. That is earned, not computed.
importance 50 · 3573/00
Source: “Participate in training events to enhance professional skills.” (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: Taking part in training events is about being present and building your own skills.
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.
Preparing the learning environment and resources for educational sessions
staying human
This work happens in the physical world: the learning environment, in a real place. Software cannot follow it there.
importance 70 · 3573/00
Source: “Prepare the learning environment and resources for educational sessions.” (UK task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal 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: Ideas for the setup are easy; putting out the resources is done by hand each morning.
The five ratings: output a model can produce 2/4 · 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.
Developing peer networks to keep abreast of current thinking
staying human
The value here is that a specific person handles peer networks and stands behind it. That is earned, not computed.
importance 50 · 3573/00
Source: “Develop peer networks to keep abreast of current thinking.” (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: Building a professional network is about relationships with particular people; software can summarise current thinking but cannot know them.
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.
Evaluating instructors' teaching performance
staying human
This work happens in the physical world: instructors' teaching performance, in a real place. Software cannot follow it there.
importance 60 · 3573/00
Source: “Evaluate instructors' teaching performance.” (UK task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Judging teaching quality means watching a session and seeing how learners respond.
The five ratings: output a model can produce 1/4 · 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 2/4.
Delivering in-person training programmes
staying human
This work happens in the physical world: in-person training programmes, in a real place. Software cannot follow it there.
importance 80 · 3573/00
Source: “Deliver in-person training programmes.” (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 value is that a specific person does it.
The rating behind it: The clue is in the name: this training happens in the room with learners, so someone has to be there.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Setting up IT equipment
staying human
This work happens in the physical world: IT equipment, in a real place. Software cannot follow it there.
importance 70 · 3573/00
Source: “Set up IT equipment where appropriate.” (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: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Plugging in and testing equipment in a training room needs hands and someone physically present.
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 0/4 · how much data exists 3/4.

What this job pays, and how many people do it

Median pay: £39,000a 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: 9,200in 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: manuals, multimedia visual aids and other educational materials in, a record out. The rows above are exactly that shape: developing training manuals, multimedia visual aids and other educational materials and designing new training programmes or adapt existing ones. What it cannot do is be there in the room, and that is still where in-person training programmes 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: developing training manuals, multimedia visual aids and other educational materials is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 59% of this job's task weight sits in rows the software is already learning, 8% in rows that change shape rather than disappear, and 33% in rows it is nowhere near. That is the position, measured across 52 scored tasks. It is not a forecast about you.

What you have that the software does not is delivering in-person training programmes, 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 manuals, multimedia visual aids and other educational materials 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 manuals, multimedia visual aids and other educational materials, 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 developing training manuals, multimedia visual aids and other educational materials” 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 delivering in-person training programmes 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 information technology trainers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was driving instructors: only about 11% of its durable work is work you already do. Your own job splits about 59/41: 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 “deliver training courses to enhance IT skills and competencies”, 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.

Driving instructors
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “use diverse instructional techniques”. Across the whole of both lists that adds up to about 11% 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 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. This release publishes no median pay for that job, so I cannot show you what the move costs or pays. I do not recommend a move I cannot price.
Look at that job’s page anyway →
Other vocational and industrial trainers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “evaluate instructors' teaching performance”. Across the whole of both lists that adds up to about 11% 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 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Human resources administrative occupations
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “deliver feedback to learners to support their development”. Across the whole of both lists that adds up to about 9% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 63% of its own task list already scores in the top exposure band (62/100 in this release), so the same software is eating it. It is a pay cut, in those words: £26,851 against your £38,981, 31.1% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
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: 59% of its task weight, across 52 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: delivering in-person training programmes 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 Training and Development Specialists is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

In US official statistics this job is counted as Training and Development Specialists. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

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 guided route for this

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

Microsoft Copilot Adopters is built for knowledge workers, team leads and adoption champions where Microsoft 365 Copilot is available but underused (the people this page is about). It works on the part of your job that is growing rather than shrinking: getting colleagues to real work with Microsoft 365 Copilot, and the review habits around AI-assisted output. It only applies where the organisation has Copilot.

Try Microsoft Copilot Adopters 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 IT trainers 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 Information technology trainers?: Not as a job, but it is already doing parts of the work. Across the 52 official task statements scored for Information technology trainers (United Kingdom, SOC 3573), 59% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 55 out of 100 (range 49–62, 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 “Information technology trainers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Develop training manuals, multimedia visual aids, and other educational materials” (93/100, very high); “Arrange classes based on availability of classrooms, equipment, or instructors” (93/100, very high); “Monitor training costs to ensure budget compliance” (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 “Information technology trainers” stay human?: About 33% 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: “Set up IT equipment where appropriate” (0/100, minimal); “Deliver in-person training programmes” (10/100, minimal); “Evaluate instructors' teaching performance” (11/100, 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 “Information technology trainers” do about AI?: Start from the ledger rather than the headline: 59% of this job's weighted core work is exposed, and roughly 33% 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 Information technology trainers 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 52 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.
2 rows are marked low confidence, so treat them as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
31 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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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.