A closer look
Product designer
AI can draw the screens. Deciding which problem to solve is still your job.
The ILO lumps product designers in with graphic and multimedia designers, the closest match, so it shares graphic design's score. AI could take a fair chunk of making images and forming concepts; working with clients is mostly out of its reach.
51 / 100
Changing significantly
AI could do a real share of the everyday tasks. The job is changing shape, not vanishing.
Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.
The ILO's official verdict: Exposed: Gradient 2
14 of the 20 jobs up close
Not quite your week? Make it yours ↓
Why this score?
The ILO rated each task in this job for how much of it AI could do. They average 49.3 out of 100, so the job holds up at 100 − 49.3 = 50.7.
ILO group “Exposed: Gradient 2”: A good share of the tasks are affected.
- AI helps JSA 2025
- 64
- Usually good news: more of the work gets quicker without the job going away.
- AI takes over JSA 2025
- 49
- This is what most people mean by “exposed”. We keep it apart from helping on purpose.
- Hands-on O*NET 31.0
- 30.8
- Software can't do hands-on work, but robots might one day. How far they've got isn't on this site, because nobody measures it well enough yet.
from the source Working Paper 140, Generative AI and Jobs 2025 index O*NET 31.0 Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use
Man v Bot · compare
Who holds up better?
Product designer 51
vGo on, try your partner's job. Or your sibling's. We won't tell.
Man v Bot
Where the bot helps, and where the human wins
Bot
What AI takes
The routine stuff. You may not miss it.
- Producing variations on a layout, a flow or a component set.
- First-pass copy, placeholder content and asset resizing.
- Translating a finished design into front-end code.
Man
What people still do better
Judgement, trust and skilled hands. Hard to download.
- Deciding which problem is worth solving before anything is drawn.
- Holding a position in a room full of people who want different things.
- Knowing, from having been wrong before, which cheap answer will cost more later.
Both
What's arriving
New work that only exists because the AI does.
- Directing and editing machine output rather than producing every artefact.
- Designing the behaviour of systems that respond differently to every user.
- Being accountable for what an automated interface does to someone.
Written by a human, from the task data. Yes, we see the irony. Read it as one person's take.
Meet your two rivals
They're not the same machine. AI software can only reach the parts of a job done on a screen or in words. A chatbot can't climb a ladder. A robot might, one day, if it doesn't fall off.
The AI
Lives in a screen. Never had to fix a boiler.
Threat level: Medium
49 could do without you
It could take over some of the work, and help with more. It could help with 64 of 100.
The robot
The wildcard. Has hands, still working out stairs.
How much it matters here: Lower
31 how hands-on
Not much of this job needs hands, so the robot can sit this one out.
So could a robot do the physical part?
Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.
Robots hate fiddly work in awkward spaces. On that measure, this job scores 26 out of 100. The higher it is, the longer the robot waits.
and cramped
Kind of hands-on work Less than half hands-on
The small print
It isn't a robot score, and nothing on this page is. Nobody measures how far robots have got well enough to put a number on it. This is the closest thing we have: how much fiddly handwork and cramped, awkward work the job takes, which is what Frey and Osborne found hardest for machines.
The numbers come straight from the US job database's entry for Commercial and Industrial Designers. Its wider group, Graphic and multimedia designers, lands in the same place.
finger skill 39.3 · hand skill 25 · cramped spaces 14.8 · hands-on 30.8 · caring 1.34 of 7 · rule: hands-on under 50
from the source O*NET 31.0 data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement
New · the weekly task audit
Your week, your score
The score above assumes product designers spend the same time on every task. You don't. Slide each task to how much of your week it takes, and we'll re-weight the same ILO ratings to fit your job.
- Some
- Some
- Some
- Some
- Some
- Some
- Some
- Some
- Some
- Some
Your score
51 / 100
Same as the job as a whole, so far.
Move the sliders to make it yours.
The job as a whole: 51 / 100
Link copied.
Nothing you enter leaves your browser. The link just carries your slider positions.
Meanwhile, in real life…
Everything else here is about what AI could do. This is what people actually did. When they asked Claude for help with this kind of work, did they hand the whole task over, or roll their sleeves up and work through it together?
Out of every 100 conversations
worked through it together handed it over
The small print
Anthropic publishes this about its own product, and it doesn't feed into any score here. These are people who use Claude, not workers in general, so little use here doesn't mean AI can't reach the job. This job makes up 0.17% of the conversations.
These two add up to 100. The bars elsewhere on the page don't, because each is scored on its own, so we don't put them side by side.
observed use Anthropic Economic Index release 2026-06-26, period beginning 2026-05-01 data 0.8-observed-use 2026-05-01 · Anthropic, about its own product
So, should product designers be worried?
Short answer: not worried, but paying attention. The job is changing.
Some of the work is moving. Layout variations, placeholder content and front-end code are getting cheap to produce. What's gaining value is choosing the right problem, holding a position in a room, and being accountable for what an automated interface does to people. One caveat: this score is borrowed from the ILO's graphic designers group, the closest match it has.
Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing. Bank tellers survived the cash machine. The job just got more chatty.
Where this job could lead
None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →
Fancy a rematch?
Put product designers up against another job, then send the result to someone who needs a little humbling.
- Plumber 85
- Hairdresser 83
- Electrician 81
- Heavy truck driver 76
- Aged care worker 75
- Chef 75
- Registered nurse 75
- Primary school teacher 74
- General practitioner 71
- Civil engineer 70
- Fashion designer 65
- Paralegal 61
- Data analyst 51
- Graphic designer 51
- Accountant 49
- Software developer 47
- Copywriter 46
- Customer service representative 42
- Bank teller 42
Where this page's numbers come from
- Working Paper 140, Generative AI and Jobs
International Labour Organization · 2025 index · CC BY 4.0
- O*NET
US Department of Labor · 31.0 · CC BY 4.0
- Our Gen AI Transition (Gen AI Capacity Study)
Jobs and Skills Australia · September 2025 detailed data release · CC BY 4.0