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Professionals · code 2355

Other arts teachers

AI can plan the course. Coaching a nervous performer is still a teacher.

Nine of the ten tasks are mostly out of AI's reach, including teaching theory and assessing students. Demonstrating drama, dance and art in person it barely touches.

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

Other arts teachers teach students in the practice, theory and performance of dance, drama, visual and other arts (excluding music) outside the mainstream primary, secondary and higher education systems, but may provide private or small group tuition as an extracurricular activity in association with mainstream educational institutions Tasks include - (a) assessing the students’ level of ability and determining learning needs; (b) planning, preparing and delivering programmes of study, lessons and workshops for individual students and groups; (c) preparing and presenting material on the theory of the subject area being studied; (d) instructing and demonstrating practical aspects of drama, dance, visual or other arts; (e) assigning exercises and work relevant to students’ level of ability, interests and talents; (f) assessing students and offering advice, criticism and encouragement; (g) revising curricula, course content, course materials and methods of instruction; (h) preparing students for examinations, performance and assessments; (i) arranging visits and tours to exhibitions and performances; (j) organizing and assisting in performances or exhibitions of students’ work. Examples of the occupations classified here: - Dance teacher (private tuition) - Drama teacher (private tuition) - Painting teacher (private tuition) - Sculpture teacher (private tuition) Some related occupations classified elsewhere: - University lecturer - 2310 - Vocational education teacher - 2320 - Secondary school teacher - 2330 - Primary school teacher - 2341 - Private music teacher - 2354 Note Regular secondary and primary school teachers who teach arts subjects are classified in Unit Groups 2330: Secondary Education Teachers, and 2341: Primary School Teachers respectively.

  • drama teacher
  • dance teacher
  • circus arts teacher
  • visual arts teacher
  • photography teacher

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

65 / 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: Minimal Exposure

269 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 10 tasks for how much of it AI could do. They average 34.6 out of 100, so it holds up at 100 − 34.6 = 65.4.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Minimal Exposure”: A few tasks are affected, but the heart of the job isn't.

This job rates 24.2 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?

Other arts teachers 65

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.

  • Course planning and materials.
  • Theory content.
  • Assessment admin.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Demonstrating technique.
  • Encouraging and critiquing students.
  • Staging performances and exhibitions.

Both

What's arriving

New work that only exists because the AI does.

  • Teaching creative work alongside AI tools.
  • Online classes.
  • Questions about originality and authorship.

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

51 could do without you

It could take over some of the work, and help with more. It could help with 73 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

24 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 14 out of 100. The higher it is, the longer the robot waits.

24 How
hands-on
14 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, averaged across 3 US jobs .

finger skill 22.8 · hand skill 15.7 · cramped spaces 3.7 · 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 50, against an average of 35. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 50

    Preparing and presenting material on the theory of the subject area being studied

    Low
  2. 49

    Revising curricula, course content, course materials and methods of instruction

    Low
  3. 46

    Arranging visits and tours to exhibitions and performances

    Low
  4. 34

    Assigning exercises and work relevant to students’ level of ability, interests and talents

    Low
  5. 33

    Organising and assisting in performances or exhibitions of students' work.

    Low
  6. 32

    Planning, preparing and delivering programmes of study, lessons and workshops for individual students and groups

    Low
  7. 30

    Preparing students for examinations, performance and assessments

    Low
  8. 28

    Assessing the students’ level of ability and determining learning needs

    Low
  9. 27

    Assessing students and offering advice, criticism and encouragement

    Low
  10. 19

    Instructing and demonstrating practical aspects of drama, dance, visual or other arts

    Very Low

10 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
73
AI does it for you
51

Sidekick wins, by 22 points.

How good a match is this?

One Australian job matches, but only partly: not everyone in it does this job. Treat the numbers as a rough guide.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 2492

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

51
49

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 1.37% of the conversations.

The data is sorted by US job, and this one matches 2 of them. We've combined them, counting each by how often it comes up in the conversations, so the busiest one counts most.

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 arts teachers be worried?

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

Parts of it are changing. Theory, curricula, arranging visits, setting work, organising shows, planning, exam preparation and assessment all rate Low; demonstrating practical skills rates Very Low. AI will help with planning; teaching the craft stays hands-on.

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 92 jobs in the “Professionals” family, averaging 61. This one is above the family average.

Pit this against any other job →