Will AI replace Business and related research professionals?

Not as a job, but it is already doing parts of the work. Across the 85 official task statements scored for Business and related research professionals (United Kingdom, SOC 2434), 50% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 54 out of 100 (range 49–60, 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 “Business and related research professionals” 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: “Assist immigration officers by operating surveillance equipment to monitor areas of interest” (0/100, minimal); “Observe and report on suspects' movements and actions” (0/100, minimal); “Interview witnesses to collect human intelligence” (3/100, 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 “Business and related research professionals” do about AI?

Start from the ledger rather than the headline: 50% 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 Business and related research professionals 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 85 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

Business and related research professionals

analysing and interpreting intelligence data using specific analytical techniques, maintaining knowledge of security and confidentiality rules and translating intelligence by studying communication code languages or foreign languages. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: gathering information from a variety of resources is work AI now does quickly and cheaply, and observing and reporting on suspects' movements and actions is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 50%
changing shape: 17%
staying human: 33%

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

Whole-job exposure score 54 out of 100 (49–60 allowing for uncertainty): partial exposure, across 85 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 business and related research professionals is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

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

Your week, as this page understands it

Business and related research professionals carry out a variety of research activities for the broadcast and print media, for the police and armed forces intelligence services, for national security agencies and in other non-scientific areas. The job title says “business” or “related research professionals”: officially one job, two names. The real job is the part underneath: observing and reporting on suspects' movements and actions. 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 business and related research professionals is not one task. It is 85 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is observing and reporting on suspects' movements and actions, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 50%
changing shape: 17%
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.

22 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

42 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.

Analysing and interpreting intelligence data using specific analytical techniques
This is reading one thing and writing another: intelligence data in, a record out. That is the shape today's tools are built for.
importance 95 · 2434/01
Source: “Analyse and interpret intelligence data using specific analytical techniques.” (UK task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high 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: Pattern analysis is well suited to software, but the decisive context is often held privately.
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 2/4.
Analysing criminal activities to identify patterns
This is reading one thing and writing another: criminal activities in, a record out. That is the shape today's tools are built for.
importance 90 · 2434/01
Source: “Analyse criminal activities to identify patterns related to narcotics, money laundering, and terrorism.” (UK task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high 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: Spotting patterns across large volumes of activity data is a strength of current analysis tools.
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 2/4.
Gathering information from a variety of resources
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/01
Source: “Gather information from a variety of resources, including law enforcement 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: Pulling information out of multiple databases is routine retrieval work systems already do.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analysing market trends to compare products and assess competitor strategies
This is reading one thing and writing another: market trends in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/02
Source: “Analyse market trends to compare products and assess competitor strategies.” (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: Comparing products and competitor strategies uses widely available published information.
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.

Changing shape

15 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.

Conducting in-depth investigations of suspicious financial activity
The software now makes the first pass at in-depth investigations of suspicious financial activity, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 90 · 2434/01
Source: “Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Software spots suspicious patterns in transactions well, but an investigation still needs enquiries and judgement from a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Conducting criminal profiling to assist police in identifying possible suspects
The software now makes the first pass at criminal, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 2434/01
Source: “Conduct criminal profiling to assist police in identifying possible suspects.” (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: mistakes that are cheap to catch.
The rating behind it: Profiling draws on judgement and case experience that is only partly written down.
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 2/4.
Developing defence plans using intelligence and information
The software now makes the first pass at defence plans, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 2434/01
Source: “Develop defence plans using intelligence and information.” (UK task statement)
How this row was scored
Exposure score: 44 out of 100 (37–51 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Plans can be drafted, but the choices depend on private assessments and command judgement.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Staying human

28 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.

Assessing and responding to potential security threats following established protocols
This work happens in the physical world: potential security threats following established protocols, in a real place. Software cannot follow it there.
importance 90 · 2434/01
Source: “Assess and respond to potential security threats following established protocols.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 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: Responding to a live security threat means someone being present to act.
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 1/4 · how much data exists 3/4.
Analysing intelligence to provide crime prevention advice
The ratings behind this row put intelligence well outside what today's tools can do on their own.
importance 85 · 2434/01
Source: “Analyse intelligence to provide crime prevention advice.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Pattern analysis is well suited to software, but useful prevention advice depends on local knowledge and context.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Presenting desk-level briefings to government customers
The value here is that a specific person handles desk-level briefings and stands behind it. That is earned, not computed.
importance 85 · 2434/01
Source: “Present desk-level briefings to government customers, including MOD, FCDO, Home Office, NCA, and HMRC.” (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: reading one thing and writing another; the value is that a specific person does it.
The rating behind it: The briefing pack is easy to produce; answering a minister’s questions in the room is not.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

Show the other 75 tasks

Gathering threat intelligence as part of routine security tasks
shifting to AI
This is reading one thing and writing another: threat intelligence in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/01
Source: “Gather threat intelligence as part of routine security tasks.” (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: Threat intelligence gathering is feed-driven and already largely automated in security tooling.
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.
Updating intelligence records accordingly to maintain data accuracy
shifting to AI
This is reading one thing and writing another: intelligence records in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/01
Source: “Update intelligence records accordingly to maintain data accuracy.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping intelligence records up to date is routine data maintenance.
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.
Collecting and analysing sales and consumer data
shifting to AI
This is reading one thing and writing another: sales in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/02
Source: “Collect and analyse sales and consumer data.” (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: Pulling together and analysing sales and consumer data is squarely within these tools' strengths.
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.
Editing existing written material as necessary for clarity and accuracy
shifting to AI
This is reading one thing and writing another: written material in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Edit existing written material as necessary for clarity and accuracy.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tidying existing text for clarity and accuracy is one of the most reliable things writing 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.
Organising information for dissemination via storage media or the Internet
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 75 · 2434/02
Source: “Organise information for dissemination via storage media or the Internet.” (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: Organising material for publication online or on storage media is routine content management.
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.
Organising information to prepare data for 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 75 · 2434/02
Source: “Organise information to prepare data for 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: Organising information ready for processing is routine data handling software performs 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.
Searching media libraries and archives
shifting to AI
This is reading one thing and writing another: media libraries in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Search media libraries and archives.” (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: Searching media libraries and archives is catalogue retrieval that search tools do 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.
Seeking information to help companies determine their position in the market
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 75 · 2434/02
Source: “Seek information to help companies determine their position in the market.” (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: Gathering information on a company's market position is systematic research these tools handle thoroughly.
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.
Writing and editing web copy to effectively communicate research findings and insights
shifting to AI
This is reading one thing and writing another: web copy in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Write and edit web copy to effectively communicate research findings and insights.” (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 and editing web copy from research findings is exactly the kind of 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.
Requesting translation of reference materials
shifting to AI
This is reading one thing and writing another: translation of reference materials in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Request translation of reference 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: Requesting translation of reference material is simple administrative 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.
Analysing national and international data using specialist software to identify economic trends
shifting to AI
This is reading one thing and writing another: national in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/01
Source: “Analyse national and international data using specialist software to identify economic trends.” (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: National and international economic data is public and abundant, and analysing it is a strong point for software.
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.
Maintaining databases and software applications
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 70 · 2434/01
Source: “Maintain databases and software applications, such as GIS mapping and artificial intelligence tools.” (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 mapping and analysis systems running is well-documented technical 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 4/4.
Conducting factual research to ensure accuracy of information in films
shifting to AI
This is reading one thing and writing another: factual research in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/02
Source: “Conduct factual research to ensure accuracy of information in films, including period costume and architecture.” (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: Checking historical detail like period costume and architecture is research over widely published sources.
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.
Researching and gathering information for media and entertainment projects
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 85 · 2434/02
Source: “Research and gather information for media and entertainment projects.” (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: Background research for media projects is broad searching over publicly available 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 0/4 · how much data exists 4/4.
Analysing data to determine its validity
shifting to AI
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/02
Source: “Analyse data to determine its validity, quality, and scientific significance.” (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: Judging data quality and significance uses well-documented statistical methods that software applies 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 4/4.
Preparing publications tailored for diverse audience groups
shifting to AI
This is reading one thing and writing another: publications in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Prepare publications tailored for diverse audience groups.” (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: Rewriting the same material for different audiences is exactly what these tools are good at.
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.
Investigating the historical events of a specific country during the 20th century
shifting to AI
This is reading one thing and writing another: the historical events of a specific country in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Investigate the historical events of a specific country during the 20th century.” (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: Twentieth-century history is extensively documented and published, which suits automated research 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 4/4.
Regularlying read industry journals
shifting to AI
This is reading one thing and writing another: read industry journals in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Regularly read industry journals.” (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: Keeping up with journals is reading and summarising, which AI tools do quickly and 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 4/4.
Integrating and correlating information from various sources to judge if an indicator suggests a security incident
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 85 · 2434/01
Source: “Integrate and correlate information from various sources to judge if an indicator suggests a security incident.” (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: Correlating signals to decide whether something is a real incident is increasingly done by detection software.
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 comprehensive written reports based on research
shifting to AI
This is reading one thing and writing another: comprehensive written reports in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/01
Source: “Prepare comprehensive written reports based on research, collection, and analysis of intelligence data.” (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: Writing up analysis into full reports is structured drafting, though the careful hedging still needs checking.
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 knowledge of security and confidentiality rules
shifting to AI
This is reading one thing and writing another: knowledge of security in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/01
Source: “Maintain knowledge of security and confidentiality rules.” (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: Keeping current with security rules is reading and tracking documented policy.
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.
Translating intelligence by studying communication code languages or foreign languages
shifting to AI
This is reading one thing and writing another: intelligence in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/01
Source: “Translate intelligence by studying communication code languages or foreign languages.” (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: Machine translation is strong, though coded or deliberately obscured language still needs expert handling.
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 information using tools like aerial photographs and radar equipment
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 70 · 2434/01
Source: “Evaluate information using tools like aerial photographs and radar equipment.” (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 aerial imagery and radar data is a task automated image analysis now 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.
Conducting research on consumer opinions and marketing strategies
shifting to AI
This is reading one thing and writing another: research in, a record out. That is the shape today's tools are built for.
importance 80 · 2434/02
Source: “Conduct research on consumer opinions and marketing strategies.” (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: Gathering and summarising research on consumer opinion and strategy is desk work software does 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 3/4.
Devising methods for collecting data through surveys
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 75 · 2434/02
Source: “Devise methods for collecting data through surveys, opinion polls, or questionnaires.” (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 and questionnaire design is well documented and drafts easily.
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.
Improving data collection methods
shifting to AI
This is reading one thing and writing another: data collection methods in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Improve data collection methods.” (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: Improving how data is collected uses well-documented research methods and observed problems in the current process.
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.
Tracing historical development in a particular field
shifting to AI
This is reading one thing and writing another: historical development in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Trace historical development in a particular field, such as social, cultural, political, or diplomatic history.” (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: Tracing how a field developed is synthesis of published work, which is one of AI’s strongest areas.
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.
Consulting on customs of specific historical periods
shifting to AI
This is reading one thing and writing another: customs of specific historical periods in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Consult on customs of specific historical periods.” (UK task statement)
How this row was scored
Exposure score: 70 out of 100 (66–74 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: Advising on period customs draws on extensively published historical 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 4/4.
Presenting historical accounts focusing on specific social
shifting to AI
This is reading one thing and writing another: historical accounts in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Present historical accounts focusing on specific social, ethnic, or political groupings.” (UK task statement)
How this row was scored
Exposure score: 70 out of 100 (66–74 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: Writing historical accounts about particular groups draws on abundant published scholarship.
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.
Publishing or presenting theories based on historical research
shifting to AI
This is reading one thing and writing another: theories in, a record out. That is the shape today's tools are built for.
importance 70 · 2434/02
Source: “Publish or present theories based on historical research.” (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: Writing up and publishing historical research is documented, text-based work 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 1/4 · how much data exists 4/4.
Collating and validating intelligence
shifting to AI
This is reading one thing and writing another: intelligence in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/01
Source: “Collate and validate intelligence.” (UK task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high 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: Bringing reports together and checking they hold up is largely comparison work over held 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 2/4.
Evaluating communication records to determine the size and location of criminal groups
shifting to AI
This is reading one thing and writing another: communication records in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/01
Source: “Evaluate communication records to determine the size and location of criminal groups.” (UK task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high 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: Working out group size and location from communication records is exactly what link analysis software does.
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 2/4.
Delivering information in formal reports to government customers
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 85 · 2434/01
Source: “Deliver information in formal reports to government customers.” (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: Turning findings into formal reports is structured writing that drafting tools handle 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.
Presenting findings and insights from data analysis in a clear and impactful manner
shifting to AI
This is reading one thing and writing another: findings in, a record out. That is the shape today's tools are built for.
importance 85 · 2434/01
Source: “Present findings and insights from data analysis in a clear and impactful manner.” (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: Charts and write-ups are easy to produce, though presenting insights well involves reading the 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 1/4 · how much data exists 3/4.
Communicating project updates and findings to managers and external agencies
shifting to AI
This is reading one thing and writing another: project updates in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/01
Source: “Communicate project updates and findings to managers and external agencies.” (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: Writing up project updates from existing records is a straightforward writing job for current tools.
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.
Arranging to obtain existing data
shifting to AI
This is reading one thing and writing another: obtain existing data in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Arrange to obtain existing data.” (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: Obtaining existing datasets is largely admin, though access often depends on who you ask.
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.
Evaluating marketing effectiveness for the organisation or clients
shifting to AI
This is reading one thing and writing another: effectiveness in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Evaluate marketing effectiveness for the organisation or clients.” (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: Measuring what worked is data analysis, though the conclusions get discussed with clients or colleagues.
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.
Proposing products to serve identified advertising markets
shifting to AI
This is reading one thing and writing another: products in, a record out. That is the shape today's tools are built for.
importance 75 · 2434/02
Source: “Propose products to serve identified advertising markets.” (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: Proposing products for identified markets is analysis and pitch writing that tools handle 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.
Undertaking research to advance knowledge in specific fields
changing shape
The software now makes the first pass at research, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 2434/02
Source: “Undertake research to advance knowledge in specific fields.” (UK task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Machines can gather and summarise existing knowledge well, but genuinely new findings still come from the researcher.
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 3/4.
Examining archives for film, video and photographic material to be used in documentaries
changing shape
The software now makes the first pass at archives, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 2434/02
Source: “Examine archives for film, video, and photographic material to be used in documentaries.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching archives is largely catalogue work, though some material is only accessible on site.
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.
Collecting detailed information on individuals for use in biographies
changing shape
The software now makes the first pass at detailed information, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/02
Source: “Collect detailed information on individuals for use in biographies.” (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: Assembling biographical detail from records and published sources is search and summary work AI does quickly.
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.
Conducting historical research for the identification of historic places
changing shape
The software now makes the first pass at historical research, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/02
Source: “Conduct historical research for the identification of historic places.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Researching the history of a place is largely archive and records work done at a desk.
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.
Ensuring copyrights
changing shape
The software now makes the first pass at copyrights, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/02
Source: “Ensure copyrights are cleared for use.” (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: Rights checking follows documented records and standard clearances, which software can track reliably.
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.
Gathering historical data from archives
changing shape
The software now makes the first pass at historical data, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/02
Source: “Gather historical data from archives, records, diaries, news files, and publications.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Gathering historical material from archives and publications is research work, though some sources are physical.
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.
Briefing scriptwriters on content requirements
changing shape
The software now makes the first pass at scriptwriters, 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 80 · 2434/02
Source: “Brief scriptwriters on content requirements.” (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: The brief is easy to write, but scriptwriters work out what they need by talking it through.
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.
Compiling data on activities within a specific area
changing shape
The software now makes the first pass at data, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 2434/01
Source: “Compile data on activities within a specific area.” (UK task statement)
How this row was scored
Exposure score: 51 out of 100 (44–58 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Compiling activity data is routine collation, though some of it is gathered on the ground.
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 2/4.
Reviewing practices within the criminal justice system to remain impartial and objective
changing shape
The software now makes the first pass at practices within the criminal justice system, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/01
Source: “Review practices within the criminal justice system to remain impartial and objective, considering the impact of bias.” (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: mistakes that are cheap to catch.
The rating behind it: Reviewing your own practice for bias is reflective judgement that is hard to hand over.
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 2/4.
Advising on the historical authenticity of materials
changing shape
The software now makes the first pass at the historical authenticity of materials, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 2434/02
Source: “Advise on the historical authenticity of materials.” (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: Authenticity advice draws on published references, though it often needs the material examined directly.
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.
Determining which topics to research based on project goals and stakeholder needs
changing shape
The software now makes the first pass at topics, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 2434/02
Source: “Determine which topics to research based on project goals and stakeholder needs.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Choosing what to research is a judgement about priorities and who needs the answer, so software suggests rather than decides.
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 1/4 · how much data exists 2/4.
Collaborating with marketing professionals, statisticians and pollsters
changing shape
The software now makes the first pass at marketing professionals, statisticians and pollsters, 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 75 · 2434/02
Source: “Collaborate with marketing professionals, statisticians, and pollsters.” (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: Working with statisticians and pollsters is a shared, iterative process rather than a handover.
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.
Delivering presentations on research findings to industry stakeholders
staying human
The value here is that a specific person handles presentations and stands behind it. That is earned, not computed.
importance 75 · 2434/02
Source: “Deliver presentations on research findings to industry stakeholders.” (UK task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The slides write themselves; standing in front of stakeholders and taking questions does not.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conducting research in colleges, universities, museums and other research institutions
staying human
This work happens in the physical world: research, in a real place. Software cannot follow it there.
importance 75 · 2434/02
Source: “Conduct research in colleges, universities, museums, and other research institutions.” (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: Much research is now online, but some collections still have to be visited in person.
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.
Preparing publications and exhibits ensuring historical accuracy
staying human
This work happens in the physical world: publications, in a real place. Software cannot follow it there.
importance 75 · 2434/02
Source: “Prepare publications and exhibits ensuring historical accuracy.” (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: Publications draft well, but building an exhibit means physically assembling and installing it.
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.
Identifying potential agents and targets based on intelligence pictures
staying human
The ratings behind this row put potential agents well outside what today's tools can do on their own.
importance 80 · 2434/01
Source: “Identify potential agents and targets based on intelligence pictures.” (UK task statement)
How this row was scored
Exposure score: 36 out of 100 (29–43 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Judging who might be worth approaching rests on experience and context rarely written down.
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 1/4 · how much data exists 1/4.
Sharing information with representatives from other government and intelligence organisations
staying human
The value here is that a specific person handles information and stands behind it. That is earned, not computed.
importance 85 · 2434/01
Source: “Share information with representatives from other government and intelligence organisations.” (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: Sharing sensitive information across organisations rests on trusted working relationships between named people.
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.
Discussing ideas with producers to develop engaging content
staying human
The value here is that a specific person handles ideas and stands behind it. That is earned, not computed.
importance 80 · 2434/02
Source: “Discuss ideas with producers to develop engaging content.” (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: Developing an idea with a producer is a creative conversation between people who know each other.
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.
Finding studio audiences and programme contributors
staying human
The value here is that a specific person handles studio audiences and stands behind it. That is earned, not computed.
importance 70 · 2434/02
Source: “Find studio audiences and programme contributors.” (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: Finding audiences and contributors is persuasion work with specific people rather than a search task.
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.
Collaborating with cryptanalysts to gather information
staying human
The value here is that a specific person handles cryptanalysts and stands behind it. That is earned, not computed.
importance 80 · 2434/01
Source: “Collaborate with cryptanalysts to gather information.” (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 value is that a specific person does it.
The rating behind it: Working alongside cryptanalysts is a back-and-forth between specialists rather than a document exchange.
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 1/4.
Collaborating with linguists to gather information
staying human
The value here is that a specific person handles linguists and stands behind it. That is earned, not computed.
importance 80 · 2434/01
Source: “Collaborate with linguists to gather information.” (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 value is that a specific person does it.
The rating behind it: Working with linguists on meaning and nuance is a discussion between specialists.
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 1/4.
Identifying suitable locations for media and entertainment projects
staying human
This work happens in the physical world: suitable locations, in a real place. Software cannot follow it there.
importance 75 · 2434/02
Source: “Identify suitable locations for media and entertainment projects.” (UK task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Shortlisting locations can be done from images, but confirming one means going and looking.
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.
Preparing plans to intercept foreign communications transmissions
staying human
The rules require a named, qualified person to answer for plans, and that person cannot be a piece of software.
importance 75 · 2434/01
Source: “Prepare plans to intercept foreign communications transmissions.” (UK task statement)
How this row was scored
Exposure score: 27 out of 100 (20–34 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it.
The rating behind it: Interception planning is restricted to authorised personnel and rests on unpublished technical detail.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Supervising survey interviewers in their data collection tasks
staying human
The value here is that a specific person handles survey interviewers and stands behind it. That is earned, not computed.
importance 70 · 2434/02
Source: “Supervise survey interviewers in their data collection tasks.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (19–27 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Supervising interviewers is people management that software cannot take on.
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 2/4 · how much data exists 2/4.
Building up intelligence pictures through signals intelligence
staying human
The value here is that a specific person handles intelligence pictures and stands behind it. That is earned, not computed.
importance 85 · 2434/01
Source: “Build up intelligence pictures through signals intelligence (sigint) and human intelligence (humint).” (UK task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Signals data can be processed automatically, but information from human sources comes from people talking.
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 1/4.
Implementing processes to prevent cross contamination of evidence
staying human
This work happens in the physical world: processes, in a real place. Software cannot follow it there.
importance 75 · 2434/01
Source: “Implement processes to prevent cross contamination of evidence.” (UK task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Procedures can be written, but preventing contamination means physically controlling how evidence is handled.
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 2/4.
Ensuring the appropriate capture and preservation techniques for digital forensic material applying standard methodology and utilising appropriate forensic science technology for digital examinations
staying human
This work happens in the physical world: the appropriate capture, in a real place. Software cannot follow it there.
importance 80 · 2434/01
Source: “Ensure the appropriate capture and preservation techniques for digital forensic material applying standard methodology and utilising appropriate forensic science technology for digital examinations (specific tool training may be required).” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Seizing and preserving devices is handled physically to strict standards so the evidence stands up later.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recording and observing activities using specialist IT or electronics equipment
staying human
This work happens in the physical world: activities, in a real place. Software cannot follow it there.
importance 80 · 2434/01
Source: “Record and observe activities using specialist IT or electronics equipment.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Operating surveillance equipment on the ground means being there with it.
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 2/4.
Gathering intelligence information by field observation
staying human
This work happens in the physical world: intelligence information, in a real place. Software cannot follow it there.
importance 85 · 2434/01
Source: “Gather intelligence information by field observation, confidential sources, or public records.” (UK task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Public records can be searched automatically, but field observation and confidential human sources are tightly controlled and person-to-person.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 1/4.
Acting as an expert witness during legal proceedings
staying human
This work happens in the physical world: an expert witness during legal proceedings, in a real place. Software cannot follow it there.
importance 70 · 2434/01
Source: “Act as an expert witness during legal proceedings.” (UK task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Expert evidence must be given personally by a named individual who can be cross-examined and is answerable to the court.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Monitoring the behaviour of individuals and groups in that area
staying human
This work happens in the physical world: the behaviour of individuals, in a real place. Software cannot follow it there.
importance 85 · 2434/01
Source: “Monitor the behaviour of individuals and groups in that area.” (UK task statement)
How this row was scored
Exposure score: 5 out of 100 (0–12 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Watching what people do in a place means being there or working equipment on the ground.
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 1/4 · how much data exists 1/4.
Assessing an individual for their fitness to interview and charge and identify if an appropriate adult or additional medical needs
staying human
This work happens in the physical world: an individual, in a real place. Software cannot follow it there.
importance 70 · 2434/01
Source: “Assess an individual for their fitness to interview and charge and identify if an appropriate adult or additional medical needs are required.” (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; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Judging whether someone is fit to be interviewed means examining them in person, and the law requires a qualified professional.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Conducting toxicology assessments and documenting injuries with a robust chain of evidence
staying human
This work happens in the physical world: toxicology assessments, in a real place. Software cannot follow it there.
importance 70 · 2434/01
Source: “Conduct toxicology assessments and document injuries with a robust chain of evidence.” (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; someone qualified has to answer for it.
The rating behind it: Toxicology sampling and injury documentation require a qualified professional physically with the person.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Interviewing people to gather information about historical events and record oral histories
staying human
This work happens in the physical world: people, in a real place. Software cannot follow it there.
importance 70 · 2434/02
Source: “Interview people to gather information about historical events and record oral histories.” (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: People share their memories because a person is sitting with them and listening.
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 3/4 · how much data exists 2/4.
Interviewing witnesses to collect human intelligence
staying human
This work happens in the physical world: witnesses, in a real place. Software cannot follow it there.
importance 80 · 2434/01
Source: “Interview witnesses to collect human intelligence.” (UK task statement)
How this row was scored
Exposure score: 3 out of 100 (0–7 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: People tell you things because they are sitting with someone they have come to trust.
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 3/4 · how much data exists 1/4.
Observing and reporting on suspects' movements and actions
staying human
This work happens in the physical world: suspects' movements, in a real place. Software cannot follow it there.
importance 85 · 2434/01
Source: “Observe and report on suspects' movements and actions.” (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; someone qualified has to answer for it.
The rating behind it: Following and watching a suspect is physical work, and it also needs formal authorisation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Assisting immigration officers by operating surveillance equipment to monitor areas of interest
staying human
This work happens in the physical world: immigration officers, in a real place. Software cannot follow it there.
importance 75 · 2434/01
Source: “Assist immigration officers by operating surveillance equipment to monitor areas of interest.” (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; someone qualified has to answer for it.
The rating behind it: Operating surveillance equipment at a location is physical work carried out under formal authorisation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.

What this job pays, and how many people do it

Median pay: £41,100a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 62,500in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: intelligence data in, a record out. The rows above are exactly that shape: gathering information from a variety of resources and analysing and interpreting intelligence data using specific analytical techniques. What it cannot do is be answerable: suspects' movements need a named person the rules will accept, and software cannot be that person. Which is why this page talks about your tasks changing, not your job ending.

Your move

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

The exposed part of your job is the biggest part, and I am not going to dress that up: gathering information from a variety of resources is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 50% of this job's task weight sits in rows the software is already learning, 17% in rows that change shape rather than disappear, and 33% in rows it is nowhere near. That is the position, measured across 85 scored tasks. It is not a forecast about you.

What you have that the software does not is observing and reporting on suspects' movements and actions, 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 intelligence data 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 intelligence data, 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 gathering information from a variety of resources” 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 observing and reporting on suspects' movements and actions 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 business and related research professionals (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was police officers (sergeant and below): only about 4% of its durable work is work you already do. Your own job splits about 50/50: 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 “assess and respond to potential security threats following established protocols”, 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.

Police officers (sergeant and below)
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “observe and report on suspects' movements and actions”. Across the whole of both lists that adds up to about 4% 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 4% of the durable side of that job. That is a different job, not a next step. 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 →
Business, research and administrative professionals 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: “determine which topics to research based on project goals and stakeholder needs”. Across the whole of both lists that adds up to about 3% 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 3% 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: 59% of its own task list already scores in the top exposure band (61/100 in this release), so the same software is eating it.
Look at that job’s page anyway →
Actuaries, economists and statisticians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already analyse national and international data using specialist software to identify economic trends, and their equivalent is to supervise economic research activities to analyse market trends. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 62% of its own task list already scores in the top exposure band (64/100 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: 50% of its task weight, across 85 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: observing and reporting on suspects' movements and actions 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 Business Operations Specialists, All Other 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:

Historians

In US official statistics this job is counted as Business Operations Specialists, All Other and Historians. 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 business research professionals 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 Report Builders, a community for people who build business reports in Excel, Power Query and Power BI without a data team behind them. It overlaps with the part of your job that is growing: turning research data into reports people trust. It does not cover research design or fieldwork. If that overlap isn't you, the free route below covers the same ground.

Try Microsoft 365 Report Builders 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 business research professionals 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 Business and related research professionals?: Not as a job, but it is already doing parts of the work. Across the 85 official task statements scored for Business and related research professionals (United Kingdom, SOC 2434), 50% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 54 out of 100 (range 49–60, 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 “Business and related research professionals” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Gather information from a variety of resources, including law enforcement databases” (93/100, very high); “Gather threat intelligence as part of routine security tasks” (93/100, very high); “Update intelligence records accordingly to maintain data accuracy” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Business and related research professionals” 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: “Assist immigration officers by operating surveillance equipment to monitor areas of interest” (0/100, minimal); “Observe and report on suspects' movements and actions” (0/100, minimal); “Interview witnesses to collect human intelligence” (3/100, 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 “Business and related research professionals” do about AI?: Start from the ledger rather than the headline: 50% 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 Business and related research professionals 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 85 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.
22 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.