Will AI replace Industrial-Organizational Psychologists?

Not as a job, but it is already doing parts of the work. Across the 25 official task statements scored for Industrial-Organizational Psychologists (United States, SOC 19-3032), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 47 out of 100 (range 41–52, 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 “Industrial-Organizational Psychologists” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Review research literature to remain current on psychological science issues” (83/100, very high); “Write articles, white papers, or reports to share research findings and educate others” (83/100, very high); “Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning” (75/100, 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 “Industrial-Organizational Psychologists” stay human?

About 47% 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: “Provide expert testimony in employment lawsuits” (6/100, minimal); “Coach senior executives and managers on leadership and performance” (10/100, minimal); “Participate in mediation and dispute resolution” (13/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Industrial-Organizational Psychologists” do about AI?

Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 47% 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 Industrial-Organizational Psychologists 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 25 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.

US dataswitch to UK

Industrial-Organizational Psychologists

providing advice on best practices and implementation for selection, conducting presentations on research findings for clients or at research meetings and coaching senior executives and managers on leadership and performance. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: analyzing data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 31%
changing shape: 22%
staying human: 47%

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

Whole-job exposure score 47 out of 100 (41–52 allowing for uncertainty): partial exposure, across 25 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 industrial-organizational psychologists is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

That slice is not coming back; the core of the job, coaching senior executives and managers on leadership and performance, stays yours. New tools, same person answering for it.

Your week, as this page understands it

Apply principles of psychology to human resources, administration, management, sales, and marketing problems. Activities may include policy planning; employee testing and selection, training, and development; and organizational development and analysis. May work with management to organize the work setting to improve worker productivity. The job title says “industrial-organizational psychologists”. The real job is the part underneath: coaching senior executives and managers on leadership and performance. 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 industrial-organizational psychologists is not one task. It is 25 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is coaching senior executives and managers on leadership and performance, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 31%
changing shape: 22%
staying human: 47%

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

How we know this

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

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

Your job, task by task

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

2 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

8 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.

Analyzing data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Analyze data, using statistical methods and applications, to evaluate the outcomes and effectiveness of workplace programs.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Running statistics on program results and writing up what they mean is exactly the kind of analysis software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing job requirements and content to establish criteria
This is reading one thing and writing another: job requirements in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze job requirements and content to establish criteria for classification, selection, training, and other related personnel functions.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Breaking a job down into requirements and turning them into hiring or grading criteria is desk analysis software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assessing employee performance
This is reading one thing and writing another: employee performance in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Assess employee performance.” (O*NET 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: Pulling performance data together and writing a fair appraisal summary is well within what 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 1/4 · how much data exists 3/4.
Identifying training and development needs
This is reading one thing and writing another: development needs in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Identify training and development needs.” (O*NET 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: Comparing what people can do against what the job needs, then listing the gaps, is straightforward analysis.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Changing shape

5 tasks

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

Providing advice on best practices and implementation for selection
The software now makes the first pass at advice, 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 5 · Core
Source: “Provide advice on best practices and implementation for selection.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (54–62 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; the value is that a specific person does it.
The rating behind it: Hiring best practice is thoroughly published, so software can give solid advice, though clients still want a person they trust.
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 4/4.
Developing interview techniques, rating scales and psychological tests used to assess skills, abilities and interests for the purpose of employee selection, placement or promotion
The software now makes the first pass at interview techniques, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 5 · Core
Source: “Develop interview techniques, rating scales, and psychological tests used to assess skills, abilities, and interests for the purpose of employee selection, placement, or promotion.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Draft test items and rating scales come easily, but making a selection test legally defensible needs a qualified specialist.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Advising management concerning personnel, managerial and marketing policies and practices and their potential effects on organizational effectiveness and efficiency
The software now makes the first pass at management concerning personnel, 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 4 · Core
Source: “Advise management concerning personnel, managerial, and marketing policies and practices and their potential effects on organizational effectiveness and efficiency.” (O*NET 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 analysis behind the advice is easy to produce, but managers usually want it argued by someone they know.
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.

Staying human

12 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.

Developing and implementing employee selection or placement programs
The value here is that a specific person handles employee selection and stands behind it. That is earned, not computed.
importance 5 · Core
Source: “Develop and implement employee selection or placement programs.” (O*NET task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The design work is document-heavy and easily drafted, but rolling a hiring program out across a company needs people on board.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Observing and interviewing workers to obtain information about the physical
This work happens in the physical world: workers, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Observe and interview workers to obtain information about the physical, mental, and educational requirements of jobs, as well as information about aspects such as job satisfaction.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Watching people work and drawing honest answers out of them in interviews needs a person on site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Facilitating organizational development and change
The value here is that a specific person handles organizational development and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Facilitate organizational development and change.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Change only sticks when people trust the person leading it, and that is not something software can supply.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.

Show the other 15 tasks

Reviewing research literature to remain current on psychological science issues
shifting to AI
This is reading one thing and writing another: research literature in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review research literature to remain current on psychological science issues.” (O*NET 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: Finding and summarising published research is one of the things software is genuinely 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.
Writing articles, white papers or reports to share research findings and educating
shifting to AI
This is reading one thing and writing another: articles, white papers or reports in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Write articles, white papers, or reports to share research findings and educate others.” (O*NET 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: Articles and white papers draw on a huge body of published work, so drafting them is well within reach.
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.
Writing reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning
shifting to AI
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning findings into a clear written report is one of the things software is genuinely 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 3/4.
Studying consumers' reactions to new products and packaging designs
shifting to AI
This is reading one thing and writing another: consumers' reactions in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Study consumers' reactions to new products and package designs, and to advertising efforts, using surveys and tests.” (O*NET 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: Analyzing survey and test results about how shoppers react to products and adverts is ordinary data work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Studying organizational effectiveness, productivity and efficiency, including the nature of workplace supervision and leadership
changing shape
The software now makes the first pass at organizational effectiveness, productivity and efficiency, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Study organizational effectiveness, productivity, and efficiency, including the nature of workplace supervision and leadership.” (O*NET 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: Studying how well an organization runs is mostly survey and record analysis, which software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conducting research studies of physical work environments
changing shape
The software now makes the first pass at research studies of physical work environments, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Conduct research studies of physical work environments, organizational structures, communication systems, group interactions, morale, or motivation to assess organizational functioning.” (O*NET 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: Survey and structure research is largely data work, though some of it means being in the workplace.
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.
Formulating and implementing training programs
staying human
The value here is that a specific person handles programs and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Formulate and implement training programs, applying principles of learning and individual differences.” (O*NET 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: Course design is easy to draft, though delivering training and getting people to change how they work needs a person.
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 presentations on research findings for clients or at research meetings
staying human
The value here is that a specific person handles presentations and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Conduct presentations on research findings for clients or at research meetings.” (O*NET 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: Slides and findings summaries are quick to produce, though standing up and answering 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 3/4.
Conducting individual assessments, including interpreting measures and providing feedback for selection, placement or promotion
staying human
The rules require a named, qualified person to answer for individual assessments, including interpreting measures and providing feedback, and that person cannot be a piece of software.
importance 4 · Core
Source: “Conduct individual assessments, including interpreting measures and providing feedback for selection, placement, or promotion.” (O*NET task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Scoring and interpreting assessments suits software well, but a qualified psychologist is expected to stand behind the result.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Developing new business by contacting potential clients
staying human
The value here is that a specific person handles new business and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Develop new business by contacting potential clients, making sales presentations, and writing proposals.” (O*NET 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: Proposals and pitch decks are quick to draft, but winning a client usually comes down to a personal relationship.
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.
Training clients to administer human resources functions
staying human
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Train clients to administer human resources functions, including testing, selection, and performance management.” (O*NET task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Training material writes itself easily, but teaching a client team to run testing and appraisals is done with people.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Counseling workers about job and career-related issues
staying human
The value here is that a specific person handles workers and stands behind it. That is earned, not computed.
importance 3 · Core
Source: “Counsel workers about job and career-related issues.” (O*NET task statement)
How this row was scored
Exposure score: 28 out of 100 (24–32 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: Career conversations work because someone knows you and you trust them, which software cannot replace.
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 3/4 · how much data exists 2/4.
Participating in mediation and dispute resolution
staying human
The value here is that a specific person handles mediation and stands behind it. That is earned, not computed.
importance 3 · Supplemental
Source: “Participate in mediation and dispute resolution.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (9–17 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Mediation depends on both sides trusting the person sitting in the middle during a live conversation.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Coaching senior executives and managers on leadership and performance
staying human
The value here is that a specific person handles senior executives and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Coach senior executives and managers on leadership and performance.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Executive coaching is the relationship; the value comes from a person who knows the individual well.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 2/4.
Providing expert testimony in employment lawsuits
staying human
This work happens in the physical world: expert testimony, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Provide expert testimony in employment lawsuits.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (2–10 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: Only a sworn human expert can give evidence in a lawsuit, whatever help software gives with the report behind it.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 4/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $193,950a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 790in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

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: job requirements in, a record out. The rows above are exactly that shape: analyzing data, using statistical methods and applications and analyzing job requirements and content to establish criteria. What it cannot do is be trusted in person, which is what senior executives run on: someone specific doing it and standing behind it. Which is why this page talks about your tasks changing, not your job ending.

Your move

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

Your week is splitting in two, and which half fills it is the whole question. Analyzing data, using statistical methods and applications is going; coaching senior executives and managers on leadership and performance is not.

So, given all that: 31% of this job's task weight sits in rows the software is already learning, 22% in rows that change shape rather than disappear, and 47% in rows it is nowhere near. That is the position, measured across 25 scored tasks. It is not a forecast about you.

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

This week: one thing

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

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

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

Over the next 90 days

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

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles coaching senior executives and managers on leadership and performance, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, 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 US occupations to industrial-organizational psychologists (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was human resources specialists: only about 8% of its durable work is work you already do and it pays 60.8% less. Your own job splits about 31/69: 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 “provide advice on best practices and implementation for selection”, and let the exposed end go.

How that was checked: this job was compared against all 830 US 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.

Human Resources Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already assess employee performance, and their equivalent is to address employee relations issues. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $75,940 against your $193,950, 60.8% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Sociologists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already conduct presentations on research findings for clients or at research meetings, and their equivalent is to present research findings at professional meetings. 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. It is a pay cut, in those words: $106,030 against your $193,950, 45.3% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Compensation, Benefits, and Job Analysis Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already identify training and development needs, and their equivalent is to plan and develop curricula and materials for training programs and conduct training. 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. It is a pay cut, in those words: $78,210 against your $193,950, 59.7% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →

What I’d stop worrying about

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

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 31% of its task weight, across 25 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Other psychologists is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

In UK official statistics this job is counted as Other psychologists, Clinical psychologists and Psychotherapists and cognitive behaviour therapists. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

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

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for industrial-organizational psychologists, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 31% of the work on this page is already inside what they can do.

Try The AI Authority free →

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

The AI Authority is a general community about working with AI, not a course for industrial-organizational psychologists. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for industrial-organizational psychologists 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 Space for industrial-organizational psychologists yet. Should there be one?

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

What a Space actually is, in full

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

Your email

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

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

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

Questions people ask about this job

Will AI replace Industrial-Organizational Psychologists?: Not as a job, but it is already doing parts of the work. Across the 25 official task statements scored for Industrial-Organizational Psychologists (United States, SOC 19-3032), 31% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 47 out of 100 (range 41–52, 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 “Industrial-Organizational Psychologists” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Review research literature to remain current on psychological science issues” (83/100, very high); “Write articles, white papers, or reports to share research findings and educate others” (83/100, very high); “Write reports on research findings and implications to contribute to general knowledge or to suggest potential changes in organizational functioning” (75/100, 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 “Industrial-Organizational Psychologists” stay human?: About 47% 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: “Provide expert testimony in employment lawsuits” (6/100, minimal); “Coach senior executives and managers on leadership and performance” (10/100, minimal); “Participate in mediation and dispute resolution” (13/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Industrial-Organizational Psychologists” do about AI?: Start from the ledger rather than the headline: 31% of this job's weighted core work is exposed, and roughly 47% 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 Industrial-Organizational Psychologists 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 25 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

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
2 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: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

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

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

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

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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.