US dataswitch to UK
General and Operations Managers
reviewing financial statements, preparing staff work schedules and assigning specific duties and directing or coordinating financial or budget activities to fund operations. 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: reviewing financial statements. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, directing and coordinating activities of businesses or departments concerned with the production, stays yours. New tools, same person answering for it.
Your week, as this page understands it
Plan, direct, or coordinate the operations of public or private sector organizations, overseeing multiple departments or locations. Duties and responsibilities include formulating policies, managing daily operations, and planning the use of materials and human resources, but are too diverse and general in nature to be classified in any one functional area of management or administration, such as personnel, purchasing, or administrative services. Usually manage through subordinate supervisors. Excludes First-Line Supervisors. The job title says “general” or “operations managers”: officially one job, two names. The real job is the part underneath: directing and coordinating activities of businesses or departments concerned with the production. 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 general and operations managers is not one task. It is 17 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is directing and coordinating activities of businesses or departments concerned with the production, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 32%
- changing shape
- 15%
- staying human
- 53%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 45 out of 100 (39–51 allowing for uncertainty): partial exposure, across 17 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 general and operations managers 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.
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.
- 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
5 tasksTasks 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.
Reviewing financial statements
This is reading one thing and writing another: financial statements in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.” (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: Reading financial and sales reports to spot productivity gaps or savings is number-crunching and summarising, which 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 4/4.
Preparing staff work schedules and assigning specific duties
This is reading one thing and writing another: staff work schedules in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Prepare staff work schedules and assign specific duties.” (O*NET task statement)
How this row was scored
Exposure score: 85 out of 100 (81–89 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building a rota and assigning duties is a scheduling puzzle software solves quickly from the same rules a manager uses.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Monitoring suppliers to ensure that they efficiently and effectively provide needed goods or services within budgetary limits
This is reading one thing and writing another: suppliers in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Monitor suppliers to ensure that they efficiently and effectively provide needed goods or services within budgetary limits.” (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: Checking supplier performance and spend against budget is tracking numbers, which software does continuously.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Setting prices or crediting terms for goods or services
This is reading one thing and writing another: prices in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Set prices or credit terms for goods or services, based on forecasts of customer demand.” (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: Forecasting demand and setting prices from it is statistical work software does well with sales 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 4/4.
Changing shape
3 tasksTasks 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.
Establishing or implementing departmental policies
The software now makes the first pass at departmental policies, 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 · CoreSource: “Establish or implement departmental policies, goals, objectives, or procedures in conjunction with board members, organization officials, or staff members.” (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: Policies and objectives can be drafted well by software, though agreeing them with a board or staff is a human conversation.
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.
Managing the movement of goods into and out of production facilities to ensure efficiency
The software now makes the first pass at the movement of goods, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Manage the movement of goods into and out of production facilities to ensure efficiency, effectiveness, or sustainability of operations.” (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: Planning how goods move in and out is a logistics calculation software handles, though the goods themselves are moved by people.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning store layouts or designing displays
The software now makes the first pass at store layouts, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · SupplementalSource: “Plan store layouts or design displays.” (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: Store layouts and display designs can be drawn up by software from sales data, though someone still builds them.
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.
Staying human
9 tasksTasks 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.
Performing personnel functions, such as selection, training or evaluation
The value here is that a specific person handles personnel functions and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Perform personnel functions, such as selection, training, or evaluation.” (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 same decision, made over and over; the value is that a specific person does it.
The rating behind it: Sifting applications and drafting reviews is doable by software, but hiring and appraising people rests on trust and legal responsibility.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Directing administrative activities directly related to making products or providing services
The value here is that a specific person handles administrative activities directly and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Direct administrative activities directly related to making products or providing services.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Coordinating the admin behind making products can be drafted by software, but keeping people moving depends on the manager.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Directing and coordinating activities of businesses or departments concerned with the production
The value here is that a specific person handles activities of businesses and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Directing departments day to day depends on standing with the team and on relationships built over time.
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.
Show the other 7 tasks
Developing or implementing product-marketing strategies
shifting to AIThis is reading one thing and writing another: strategies in, a record out. That is the shape today's tools are built for.
importance 4 · SupplementalSource: “Develop or implement product-marketing strategies, including advertising campaigns or sales promotions.” (O*NET 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: Marketing plans, campaign ideas and promotional copy are exactly the kind of material software drafts to a usable standard.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Directing or coordinating financial or budget activities to fund operations
staying humanThe value here is that a specific person handles financial or budget activities and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Direct or coordinate financial or budget activities to fund operations, maximize investments, or increase efficiency.” (O*NET task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Budget analysis is well handled by software, but deciding where the money actually goes is a judgement call the manager owns.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Implementing or overseeing environmental management or sustainability programs addressing issues
staying humanThe ratings behind this row put environmental management well outside what today's tools can do on their own.
importance 3 · SupplementalSource: “Implement or oversee environmental management or sustainability programs addressing issues such as recycling, conservation, or waste management.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: A recycling or energy programme can be designed on paper by software, but making it happen on site needs someone driving it.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning or directing activities, such as sales promotions, that require coordination with other department managers
staying humanThe value here is that a specific person handles activities and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Plan or direct activities, such as sales promotions, that require coordination with other department managers.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Promotion plans can be drafted quickly, but getting other department heads to commit rests on working relationships.
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 3/4.
Recommending locations for new facilities
staying humanThis work happens in the physical world: locations, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Recommend locations for new facilities, or oversee the remodeling or renovating of current facilities.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Site analysis uses published data software can crunch, but judging a building and overseeing a refit means visiting it.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Directing non-merchandising departments of businesses
staying humanThe value here is that a specific person handles departments of businesses and stands behind it. That is earned, not computed.
importance 4 · SupplementalSource: “Direct non-merchandising departments of businesses, such as advertising or purchasing.” (O*NET 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 same decision, made over and over; the value is that a specific person does it.
The rating behind it: Running departments such as advertising or purchasing is about leading the people in them, which rests on relationships.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Performing sales floor work, such as greeting or assisting customers, stocking shelves or taking inventory
staying humanThis work happens in the physical world: sales floor work, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Perform sales floor work, such as greeting or assisting customers, stocking shelves, or taking inventory.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Serving on the shop floor and stocking shelves is physical work in the store.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
What this job pays, and how many people do it
- Median pay
- $105,770a 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
- 3,503,020in 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: financial statements in, a record out. The rows above are exactly that shape: reviewing financial statements and preparing staff work schedules and assigning specific duties. What it cannot do is be trusted in person, which is what activities of businesses 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. Reviewing financial statements is going; directing and coordinating activities of businesses or departments concerned with the production is not.
So, given all that: 32% of this job's task weight sits in rows the software is already learning, 15% in rows that change shape rather than disappear, and 53% in rows it is nowhere near. That is the position, measured across 17 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 (directing and coordinating activities of businesses or departments concerned with the production) 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 directing and coordinating activities of businesses or departments concerned with the production, 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 general and operations managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was chief executives: only about 12% of its durable work is work you already do, the 2.0× pay gap is the market pricing a barrier and there are far fewer of those jobs than of yours. Your own job splits about 32/68: 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 “perform personnel functions”, 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.
Chief Executives
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already direct or coordinate financial or budget activities to fund operations, maximize investments, or…, and their equivalent is to direct or coordinate an organization's financial or budget activities to fund operations, maximize…. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. The pay gap is the market pricing a barrier: $213,990 against your $105,770 is 2.02× (OEWS May 2025 (both)), and you would be crossing it holding about 12% of their durable work. A gap that size with an overlap that small is a wish, not a route. And it is a narrow door: about 204,350 of those jobs against 3,503,020 of yours (OEWS May 2025), 6% as many seats.
First-Line Supervisors of Retail Sales Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already perform sales floor work, such as greeting or assisting customers, stocking shelves, or…, and their equivalent is to provide customer service by greeting and assisting customers and responding to customer inquiries…. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $48,520 against your $105,770, 54.1% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Financial Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already direct or coordinate financial or budget activities to fund operations, maximize investments, or…, and their equivalent is to manage investment funds to maximize return on client investments. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 841,710 of those jobs against 3,503,020 of yours (OEWS May 2025), 24% as many seats.
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: 32% of its task weight, across 17 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.
If you run a team doing this job
If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are reviewing financial statements, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Managers and directors in retail and wholesale 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 Managers and directors in retail and wholesale, Shopkeepers and owners - retail and wholesale, Residential, day and domiciliary care managers and proprietors, Chief executives and senior officials and Financial managers and directors. 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.
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:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
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Anywhere in the US:
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A nearby route
There's no Space built for general and operations managers yet.


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The closest match is The AI Authority, a community for non-technical managers and domain experts turning one-off AI prompts into workflows a team can trust. It overlaps with the part of your job that is growing: briefing, checking and delegating AI-assisted work so it is repeatable rather than one person's trick. It is a general professional Space and knows nothing about your industry. If that overlap isn't you, the free route below covers the same ground.
- Problem: “I can use AI, but I can’t turn it into a workflow my team can trust”
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Questions people ask about this job
- Will AI replace General and Operations Managers?
- Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for General and Operations Managers (United States, SOC 11-1021), 32% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 45 out of 100 (range 39–51, 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 “General and Operations Managers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Prepare staff work schedules and assign specific duties” (85/100, very high); “Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing co…” (83/100, very high); “Set prices or credit terms for goods or services, based on forecasts of customer demand” (83/100, 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 “General and Operations Managers” stay human?
- About 53% 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: “Perform sales floor work, such as greeting or assisting customers, stocking shelves, or taking inventory” (0/100, minimal); “Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products” (13/100, minimal); “Perform personnel functions, such as selection, training, or evaluation” (21/100, low). 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 “General and Operations Managers” do about AI?
- Start from the ledger rather than the headline: 32% of this job's weighted core work is exposed, and roughly 53% 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 General and Operations Managers 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 17 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.
- 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 2026-08-04.
- 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.
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}
}Data as of release 2026-q4.1, published . 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.
