Will AI replace Computer and Information Systems Managers?

Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Computer and Information Systems Managers (United States, SOC 11-3021), 51% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 57 out of 100 (range 52–63, 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 “Computer and Information Systems Managers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Stay abreast of advances in technology” (100/100, very high); “Prepare and review operational reports or project progress reports” (93/100, very high); “Manage backup, security and user help systems” (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 “Computer and Information Systems Managers” stay human?

About 19% 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: “Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems” (10/100, minimal); “Recruit, hire, train and supervise staff, or participate in staffing decisions” (28/100, low); “Consult with users, management, vendors, and technicians to assess computing needs and system requirements” (35/100, 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 “Computer and Information Systems Managers” do about AI?

Start from the ledger rather than the headline: 51% of this job's weighted core work is exposed, and roughly 19% 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 Computer and Information Systems 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.

US dataswitch to UK

Computer and Information Systems Managers

managing backup, security and user help systems, providing users with technical support for computer problems and developing computer information resources. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: staying abreast of advances in technology is work AI now does quickly and cheaply, and meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems 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: 51%
changing shape: 30%
staying human: 19%

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

Whole-job exposure score 57 out of 100 (52–63 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 computer and information systems 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.

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

Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming. The job title says “computer” or “information systems managers”: officially one job, two names. The real job is the part underneath: meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems. 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 computer and information systems 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 meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 51%
changing shape: 30%
staying human: 19%

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

How we know this

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

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

Your job, task by task

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

2 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

9 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.

Reviewing project plans to plan and coordinate project activity
This is reading one thing and writing another: project plans in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review project plans to plan and coordinate project activity.” (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: Reading project plans and working out what needs coordinating is document 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 3/4.
Staying abreast of advances in technology
This is reading one thing and writing another: abreast of advances in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Stay abreast of advances in technology.” (O*NET task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping up with technology news means reading and summarising public material, which software does quickly and 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 4/4.
Evaluating the organization's technology use and needs and recommending improvements
This is reading one thing and writing another: the organization's technology in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Evaluate the organization's technology use and needs and recommend improvements, such as hardware and software upgrades.” (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: Assessing what technology an organisation uses and recommending upgrades is analysis and write-up software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Preparing and reviewing operational reports or project progress reports
This is reading one thing and writing another: operational reports in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare and review operational reports or project progress reports.” (O*NET 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 operational and project data into reports is routine writing that software does at professional quality.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

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.

Directing daily operations of department
The software now makes the first pass at operations of department, 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: “Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.” (O*NET 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: Analysing workflow and setting deadlines suits software, but directing a department day to day rests on personal authority.
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.
Assigning and reviewing the work of systems analysts
The software now makes the first pass at the work of systems analysts, 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: “Assign and review the work of systems analysts, programmers, and other computer-related workers.” (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: Reviewing technical work is a real strength of software, though assigning it depends on knowing your people.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Providing users with technical support for computer problems
The software now makes the first pass at users, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Provide users with technical support for computer problems.” (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: Common computer problems are already solved through guided help, though some need someone at the 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 1/4 · how much data exists 3/4.

Staying human

3 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.

Meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems
The value here is that a specific person handles department heads, managers, supervisors, vendors and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems.” (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: Getting other managers and vendors to cooperate depends on trust built in the meeting itself.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
Recruiting, hiring, training and supervising staff or participating in staffing decisions
The value here is that a specific person handles staff and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Recruit, hire, train and supervise staff, or participate in staffing decisions.” (O*NET task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 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: Hiring and supervising rests on reading people face to face and building a working relationship.
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.
Consulting with users, management, vendors and technicians to assess computing needs and system requirements
The value here is that a specific person handles users, management, vendors and technicians and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Consult with users, management, vendors, and technicians to assess computing needs and system requirements.” (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 value is that a specific person does it.
The rating behind it: Working out what users really need comes from conversations where people describe problems imperfectly.
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.

Show the other 7 tasks

Managing backup, security and user help systems
shifting to AI
This is reading one thing and writing another: backup, security and user help systems in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Manage backup, security and user help systems.” (O*NET 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: Backup, security and help systems are increasingly run and monitored by software rather than watched by hand.
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 data processing proposals to assess project feasibility and requirements
shifting to AI
This is reading one thing and writing another: data processing proposals in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Evaluate data processing proposals to assess project feasibility and requirements.” (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: Judging whether a proposal is feasible means weighing written requirements against known constraints, which 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.
Reviewing and approving all systems charts and programs prior to their implementation
shifting to AI
This is reading one thing and writing another: all systems charts in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review and approve all systems charts and programs prior to their implementation.” (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: The review itself is very automatable, though a named person still signs off before anything goes live.
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.
Controlling operational budget and expenditures
shifting to AI
This is reading one thing and writing another: operational budget in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Control operational budget and expenditures.” (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: Tracking and controlling spend is numbers work, though an accountable person still approves the money.
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.
Developing and interpreting organizational goals
shifting to AI
This is reading one thing and writing another: organizational goals in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Develop and interpret organizational goals, policies, and procedures.” (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: Writing and explaining goals, policies and procedures is document work software produces to a usable standard.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Developing computer information resources, providing for data security and control, strategic computing and disaster recovery
changing shape
The software now makes the first pass at computer information resources, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Develop computer information resources, providing for data security and control, strategic computing, and disaster recovery.” (O*NET 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: Security and recovery plans can be drafted well, but tailoring them to one organisation's real setup needs substantial expert editing.
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.
Purchasing necessary equipment
changing shape
The software now makes the first pass at necessary equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Purchase necessary equipment.” (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: Specifying and sourcing equipment is research and paperwork, with a person still signing the purchase.
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.

What this job pays, and how many people do it

Median pay: $175,140a 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: 670,570in 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: abreast of advances in, a record out. The rows above are exactly that shape: staying abreast of advances in technology and reviewing project plans to plan and coordinate project activity. What it cannot do is be trusted in person, which is what department heads, managers, supervisors, vendors 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

The exposed part of your job is the biggest part, and I am not going to dress that up: staying abreast of advances in technology is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 51% of this job's task weight sits in rows the software is already learning, 30% in rows that change shape rather than disappear, and 19% in rows it is nowhere near. That is the position, measured across 17 scored tasks. It is not a forecast about you.

What you have that the software does not is meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems, 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 abreast of advances 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 abreast of advances, 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 staying abreast of advances in technology” 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 meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems 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, 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 computer and information systems managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was computer and information research scientists: only about 26% of its durable work is work you already do, it pays 19.9% less and there are far fewer of those jobs than of yours. Your own job splits about 51/49: 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 “direct daily operations of department, analyzing workflow, establishing priorities, developing standards and…”, 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.

Computer and Information Research Scientists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and…, and their equivalent is to meet with managers, vendors, and others to solicit cooperation and resolve problems. Across both published task lists that is about 26% of the durable work in that job.
Why I am not recommending it: It is closer than most, and still not close enough: about 26% of that job's durable work is already yours, against the 35% I want to see before I will call something a route. It is a pay cut, in those words: $140,300 against your $175,140, 19.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 37,200 of those jobs against 670,570 of yours (OEWS May 2025), 6% as many seats.
Look at that job’s page anyway →
Computer Programmers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already provide users with technical support for computer problems, and their equivalent is to train users on the use and function of computer programs. 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. I will not move you off one melting floe onto another: 66% of its own task list already scores in the top exposure band (66/100 in this release), so the same software is eating it. It is a pay cut, in those words: $100,390 against your $175,140, 42.7% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 92,230 of those jobs against 670,570 of yours (OEWS May 2025), 14% as many seats.
Look at that job’s page anyway →
Project Management Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already recruit, hire, train and supervise staff, or participate in staffing decisions, and their equivalent is to recruit or hire project personnel. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $102,320 against your $175,140, 41.6% 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: 51% of its task weight, across 17 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: meeting with department heads, managers, supervisors, vendors and others, to solicit cooperation and resolve problems 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.

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 staying abreast of advances in technology, 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 Information technology directors 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 Information technology directors, IT managers and IT project managers. 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:
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A nearby route

There's no Space built for IT managers 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 SharePoint & Teams Admins, a community for the small IT teams who own Teams, SharePoint, OneDrive and permissions, usually one to three people. It overlaps with the part of your job that is growing: the Microsoft 365 estate a small IT team actually has to run day to day. It is written for one-to-three-person teams, not for large IT organisations. If that overlap isn't you, the free route below covers the same ground.

Try SharePoint & Teams Admins free →

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

After the trial it is a paid community, and you get identical data either way. If the overlap above is not your job, the moves above cost nothing and stand on their own.

Noted, and thank you. We’ll email you if a Space for IT managers launches. Nothing else.

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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 Computer and Information Systems Managers?: Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Computer and Information Systems Managers (United States, SOC 11-3021), 51% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 57 out of 100 (range 52–63, 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 “Computer and Information Systems Managers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Stay abreast of advances in technology” (100/100, very high); “Prepare and review operational reports or project progress reports” (93/100, very high); “Manage backup, security and user help systems” (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 “Computer and Information Systems Managers” stay human?: About 19% 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: “Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and resolve problems” (10/100, minimal); “Recruit, hire, train and supervise staff, or participate in staffing decisions” (28/100, low); “Consult with users, management, vendors, and technicians to assess computing needs and system requirements” (35/100, 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 “Computer and Information Systems Managers” do about AI?: Start from the ledger rather than the headline: 51% of this job's weighted core work is exposed, and roughly 19% 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 Computer and Information Systems 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.
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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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.