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Service and sales workers · code 5241

Fashion and other models

AI can generate a model for a photo shoot. That's exactly why this job is changing.

Posing for photo shoots and filmed ads are mostly out of AI's reach. Wearing sample clothes and sitting for artists it barely touches.

What they actually do (and what else they get called)

Fashion and other models wear and display clothing and accessories and pose for photographs, film and video, advertising, still photography or for artistic creation. Tasks include - (a) dressing in sample apparel of new or current styles or of type wanted by customer; (b) walking, turning and posing to demonstrate, to best advantage, style and characteristics of garments, fashion accessories and other merchandise; (c) posing as subject for sculpture, painting and other types of visual art; (d) posing for still photography for magazines and other advertising media; (e) posing for television, video and cinema commercials and other productions. Examples of the occupations classified here: - Advertising model - Artist’s model - Fashion model Some related occupations classified elsewhere: - Actor - 2655

  • fashion model
  • art model

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

75 / 100

Mostly holds up against AI

AI can take a few chores off your plate, but most of the day is still yours.

Not the odds you keep your job. It's how much of the everyday work still needs a person, out of 100.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

195 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 5 tasks for how much of it AI could do. They average 24.8 out of 100, so it holds up at 100 − 24.8 = 75.2.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

This job rates 32.8 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Man v Bot · compare

Who holds up better?

Fashion and other models 75

v

Go 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.

  • Catalogue and online product images.
  • Some advertising photography.
  • Casting and bookings by app.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Runway shows and live events.
  • Fittings for designers.
  • Posing for artists.

Both

What's arriving

New work that only exists because the AI does.

  • Licensing your likeness for AI images.
  • Rules on synthetic models and disclosure.
  • Personality-led social media work.

Written by a human, from the ILO's task ratings below. 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

36 could do without you

It could take over some of the work, and help with more. It could help with 62 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

33 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 15 out of 100. The higher it is, the longer the robot waits.

33 How
hands-on
15 How fiddly
and cramped

Kind of hands-on work Less than half hands-on

The small print

They aren'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. These are the closest thing we have: how hands-on the job is, and how much fiddly, cramped work it takes, which is what Frey and Osborne found hardest for machines.

From O*NET, matched to one US job .

finger skill 5.4 · hand skill 7.1 · cramped spaces 32.5 · averaged · rule: hands-on under 50

estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.8-observed-use measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

The job, task by task

Every job is really a bundle of tasks. Here's this one unpacked, with how much of each AI could do, out of 100. The score is the average, and averages can hide a lot.

AI's favourite task here scores 30, against an average of 25. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 30

    Posing for still photography for magazines and other advertising media

    Low
  2. 30

    Posing for television, video and cinema commercials and other productions.

    Low
  3. 25

    Walking, turning and posing to demonstrate, to best advantage, style and characteristics of garments, fashion accessories and other merchandise

    Very Low
  4. 23

    Dressing in sample apparel of new or current styles or of type wanted by customer

    Very Low
  5. 17

    Posing as subject for sculpture, painting and other types of visual art

    Very Low

5 tasks · the High to Very Low labels are the ILO's

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Sidekick or replacement?

A tool that makes you faster is a very different thing from one that does the task while you watch. Jobs and Skills Australia measured the two separately, which is handy.

AI helps you
62
AI does it for you
36

Sidekick wins, by 26 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 6391

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?

Tiny sample alert This job makes up under 0.01% of all the conversations: a tiny slice. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

20
80

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.

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 models be worried?

Short answer: not much. Some of the chores will change, and good riddance.

This is one where AI is genuinely competing. Posing for photography and video are the most exposed tasks, both Low; runway work and fittings rate Very Low. AI-generated models are already used in some advertising, so live shows, fittings and personality matter more.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

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 →

How are the neighbours doing?

There are 39 jobs in the “Service and sales workers” family, averaging 74. This one is above the family average.

Pit this against any other job →