Will AI replace Graphic Designers?

Not as a job, but it is already doing parts of the work. Across the 19 official task statements scored for Graphic Designers (United States, SOC 27-1024), 72% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 68 out of 100 (range 62–74, band: high). 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 “Graphic Designers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Create designs, concepts, and sample layouts, based on knowledge of layout principles and esthetic design concepts” (83/100, very high); “Use computer software to generate new images” (83/100, very high); “Draw and print charts, graphs, illustrations, and other artwork, using computer” (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 “Graphic Designers” stay human?

About 9% 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: “Photograph layouts, using camera, to make layout prints for supervisors or clients” (0/100, minimal); “Confer with clients to discuss and determine layout design” (23/100, low); “Produce still and animated graphics for on-air and taped portions of television news broadcasts, using electronic video equipment” (43/100, partial). 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 “Graphic Designers” do about AI?

Start from the ledger rather than the headline: 72% of this job's weighted core work is exposed, and roughly 9% 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 Graphic Designers 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 19 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

Graphic Designers

keying information into computer equipment to create layouts for client or supervisor, preparing digital files for printing and conferring with clients to discuss and determine layout design. If that's your week, this page is about your job.

The honest answer

Most tasks in this job are the kind AI has learned to do: developing graphics and layouts for product illustrations. The tasks, though, are not you.

Your move: three real directions from here ↓

Where the work sits, by task weight

shifting to AI: 72%
changing shape: 18%
staying human: 9%

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

Whole-job exposure score 68 out of 100 (62–74 allowing for uncertainty): high exposure, across 19 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 graphic designers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

It would be a lie to soften that; conferring with clients to discuss and determine layout design is what this work rebuilds around. Your move starts there.

Your week, as this page understands it

Design or create graphics to meet specific commercial or promotional needs, such as packaging, displays, or logos. May use a variety of mediums to achieve artistic or decorative effects. The job title says “graphic designers”. The real job is the part underneath: conferring with clients to discuss and determine layout design. 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 graphic designers is not one task. It is 19 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is conferring with clients to discuss and determine layout design, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 72%
changing shape: 18%
staying human: 9%

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

13 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.

Keying information into computer equipment to create layouts for client or supervisor
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Key information into computer equipment to create layouts for client or supervisor.” (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: Building a layout from supplied text and images on a computer is routine production work software now does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing final layouts and suggest improvements
This is reading one thing and writing another: final layouts in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Review final layouts and suggest improvements, as needed.” (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: Software can review a finished layout and suggest sensible fixes, though a designer decides what actually improves it.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining size and arrangement of illustrative material and copy
This is reading one thing and writing another: size in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Determine size and arrangement of illustrative material and copy, and select style and size of type.” (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: Choosing type and arranging elements follows well-documented design rules that software applies competently on standard jobs.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing graphics and layouts for product illustrations
This is reading one thing and writing another: graphics in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Develop graphics and layouts for product illustrations, company logos, and Web sites.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Generating logos, illustrations and web layouts is exactly what image tools are built for, with a designer refining the result.
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

4 tasks

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

Preparing digital files for printing
The software now makes the first pass at digital files, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Prepare digital files for printing.” (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: Print-ready files depend on press-specific settings and checks that someone still has to set up and verify.
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.
Preparing illustrations or rough sketches of material
The software now makes the first pass at illustrations, 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: “Prepare illustrations or rough sketches of material, discussing them with clients or supervisors and making necessary changes.” (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: Rough sketches come easily from image tools, but the changes get agreed in conversation with the client.
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.
Marking up, paste and assembling final layouts to prepare layouts for printer
The software now makes the first pass at up, paste and assembling final layouts, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Mark up, paste, and assemble final layouts to prepare layouts for printer.” (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; mistakes that are cheap to catch.
The rating behind it: Assembling final layouts is partly file work and partly hands-on preparation for the printer.
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 0/4 · how much data exists 3/4.
Producing still and animated graphics for on-air and taped portions of television news broadcasts
The software now makes the first pass at still, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Produce still and animated graphics for on-air and taped portions of television news broadcasts, using electronic video equipment.” (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; mistakes that are cheap to catch.
The rating behind it: Broadcast graphics work is largely software-based, though it runs on specific studio equipment and tight deadlines.
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 0/4 · how much data exists 3/4.

Staying human

2 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.

Conferring with clients to discuss and determine layout design
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Confer with clients to discuss and determine layout design.” (O*NET task statement)
How this row was scored
Exposure score: 23 out of 100 (19–27 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Working out what a client actually wants happens in conversation with them.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Photographing layouts, using camera, to make layout prints for supervisors or clients
This work happens in the physical world: layouts, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Photograph layouts, using camera, to make layout prints for supervisors or clients.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Photographing a physical layout means someone with a camera in the room.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 9 tasks

Creating designs, concepts and sampling layouts, based on knowledge of layout principles and esthetic design concepts
shifting to AI
This is reading one thing and writing another: designs, concepts and sampling layouts in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Create designs, concepts, and sample layouts, based on knowledge of layout principles and esthetic design concepts.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Producing concepts and sample layouts from a brief is among the strongest things current design tools do.
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.
Using computer software to generate new images
shifting to AI
This is reading one thing and writing another: computer software in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Use computer software to generate new images.” (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: Generating new images from a description is the headline capability of current design software.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Drawing and printing charts, graphs, illustrations and other artwork, using computer
shifting to AI
This is reading one thing and writing another: charts, graphs, illustrations and other artwork in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Draw and print charts, graphs, illustrations, and other artwork, using computer.” (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: Charts, graphs and computer artwork are produced well by current tools straight from the underlying 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.
Maintaining archive of images, photos or previous work products
shifting to AI
This is reading one thing and writing another: archive of images, photos or previous work products in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Maintain archive of images, photos, or previous work products.” (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: Cataloguing and organizing past images and files is straightforward for software.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Researching new software or designing concepts
shifting to AI
This is reading one thing and writing another: new software in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Research new software or design concepts.” (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 up on new software and design ideas is desk research 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.
Writing or editing copy for clients
shifting to AI
This is reading one thing and writing another: copy in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Write or edit copy for clients.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing and editing client copy is a core strength of current writing tools, with brand voice supplied by the studio.
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.
Studying illustrations and photographs to plan presentation of materials
shifting to AI
This is reading one thing and writing another: illustrations in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Study illustrations and photographs to plan presentation of materials, products, or services.” (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: Reviewing images and photographs to plan how material is presented is visual desk work software handles competently.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing notes and instructions for workers who assemble and prepare final layouts for printing
shifting to AI
This is reading one thing and writing another: notes in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare notes and instructions for workers who assemble and prepare final layouts for printing.” (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: Writing clear instructions for the people doing production is standard document 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.
Researching the target audience of projects
shifting to AI
This is reading one thing and writing another: the target audience of projects in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Research the target audience of projects.” (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: Researching who a project is aimed at is desk research software does quickly and 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.

What this job pays, and how many people do it

Median pay: $62,960a 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: 197,830in 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: final layouts in, a record out. The rows above are exactly that shape: developing graphics and layouts for product illustrations and keying information into computer equipment to create layouts for client or supervisor. What it cannot do is be trusted in person, which is what clients 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: developing graphics and layouts for product illustrations is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 72% of this job's task weight sits in rows the software is already learning, 18% in rows that change shape rather than disappear, and 9% in rows it is nowhere near. That is the position, measured across 19 scored tasks. It is not a forecast about you.

What you have that the software does not is conferring with clients to discuss and determine layout design, 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 final layouts 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 final layouts, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.

Over the next 90 days

Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is developing graphics and layouts for product illustrations” 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 conferring with clients to discuss and determine layout design 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 graphic designers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was art directors: only about 9% of its durable work is work you already do. I am not going to pretend that is comfortable news: 72% of your own task list is already in the top exposure band. But the answer on this evidence is not a sideways jump into a job with the same problem. It is to walk toward the end of this one that answers for things. “prepare digital files for printing” is the part that stays with a person, and spending a year getting formally recognised for it beats a standing start somewhere else.

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.

Art Directors
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already review final layouts and suggest improvements, as needed, and their equivalent is to present final layouts to clients for approval. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Word Processors and Typists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already write or edit copy for clients, and their equivalent is to print and make copies of work. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 67% of its own task list already scores in the top exposure band (68/100 in this release), so the same software is eating it. It is a pay cut, in those words: $49,280 against your $62,960, 21.7% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 35,010 of those jobs against 197,830 of yours (OEWS May 2025), 18% as many seats.
Look at that job’s page anyway →
Production, Planning, and Expediting Clerks
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already prepare illustrations or rough sketches of material, discussing them with clients or supervisors…, and their equivalent is to confer with department supervisors or other personnel to assess progress and discuss needed…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 61% of its own task list already scores in the top exposure band (64/100 in this release), so the same software is eating it.
Look at that job’s page anyway →

What I’d stop worrying about

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

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 72% of its task weight, across 19 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: conferring with clients to discuss and determine layout design is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Graphic and multimedia designers 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:

Web design professionals

In UK official statistics this job is counted as Graphic and multimedia designers and Web design professionals. 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

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

Nothing Collab365 runs is built for graphic designers, 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 72% of the work on this page is already inside what they can do.

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The AI Authority is a general community about working with AI, not a course for graphic designers. 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.

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No Space for graphic designers 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.

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

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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 Graphic Designers?: Not as a job, but it is already doing parts of the work. Across the 19 official task statements scored for Graphic Designers (United States, SOC 27-1024), 72% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 68 out of 100 (range 62–74, band: high). 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 “Graphic Designers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Create designs, concepts, and sample layouts, based on knowledge of layout principles and esthetic design concepts” (83/100, very high); “Use computer software to generate new images” (83/100, very high); “Draw and print charts, graphs, illustrations, and other artwork, using computer” (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 “Graphic Designers” stay human?: About 9% 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: “Photograph layouts, using camera, to make layout prints for supervisors or clients” (0/100, minimal); “Confer with clients to discuss and determine layout design” (23/100, low); “Produce still and animated graphics for on-air and taped portions of television news broadcasts, using electronic video equipment” (43/100, partial). 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 “Graphic Designers” do about AI?: Start from the ledger rather than the headline: 72% of this job's weighted core work is exposed, and roughly 9% 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 Graphic Designers 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 19 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 2026-08-04.
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.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.