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Technicians and associate professionals · code 3423

Fitness and recreation instructors and program leaders

An app can give you a workout. It can't spot bad form and keep you motivated.

Showing people how to use equipment and planning activities are mostly out of AI's reach. Enforcing safety rules and keeping watch it barely touches.

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

Fitness and recreation instructors and programme leaders lead, guide and instruct groups and individuals in recreational, fitness or outdoor adventure activities. Tasks include - (a) planning and carrying out recreational and fitness activities; (b) monitoring recreational, sports or fitness activities to ensure safety and provide emergency or first aid assistance when required; (c) evaluating and monitoring clients’ abilities and fitness and recommending activities; (d) demonstrating and teaching body movements, concepts and skills used in fitness routines and recreational activities; (e) instructing in the use of equipment; (f) explaining and enforcing safety procedures, rules and regulations. Examples of the occupations classified here: - Aerobics instructor - Fitness instructor - Horse riding instructor - Outdoor adventure guide - Personal trainer - Sailing instructor - Underwater diving instructor Some related occupations classified elsewhere: - Ski instructor - 3422 - Swimming instructor - 3422

  • fitness instructor
  • mountain guide
  • horse riding instructor
  • activity leader
  • vessel steering instructor

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

193 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 6 tasks for how much of it AI could do. They average 24.6 out of 100, so it holds up at 100 − 24.6 = 75.4.

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 41 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?

Fitness and recreation instructors and program leaders 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.

  • Workout plans from apps.
  • Tracking fitness with wearables.
  • Bookings and memberships.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Coaching form and technique.
  • Motivating people.
  • Keeping activities safe.

Both

What's arriving

New work that only exists because the AI does.

  • Hybrid online and in-person training.
  • Using wearable data with clients.
  • Exercise for older people and health conditions.

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: Low

32 could do without you

It could take over very little of the work on its own. It could help with 61 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

41 how hands-on

A fair part of this job is hands-on, so robots would be needed for that part, not just software.

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

41 How
hands-on
27 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 6 US jobs .

finger skill 31 · hand skill 32.6 · cramped spaces 18.1 · 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 33, 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. 33

    Instructing in the use of equipment

    Low
  2. 28

    Planning and carrying out recreational and fitness activities

    Low
  3. 26

    Evaluating and monitoring clients’ abilities and fitness and recommending activities

    Low
  4. 24

    Demonstrating and teaching body movements, concepts and skills used in fitness routines and recreational activities

    Very Low
  5. 24

    Explaining and enforcing safety procedures, rules and regulations.

    Very Low
  6. 13

    Monitoring recreational, sports or fitness activities to ensure safety and provide emergency or first aid assistance when required

    Very Low

6 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
61
AI does it for you
32

Sidekick wins, by 28 points.

How good a match is this?

3 Australian jobs match this one, and we've simply averaged them. 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 4521, 4522, 4523

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

54
46

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 0.27% of the conversations.

The data is sorted by US job, and this one matches 5 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 fitness instructors be worried?

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

Somewhat. Instructing on equipment, planning activities and assessing clients are the most exposed tasks, all Low; demonstrating, safety and supervision rate Very Low. Fitness apps take on some planning; coaching in person stays valuable.

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

How are the neighbours doing?

There are 82 jobs in the “Technicians and associate professionals” family, averaging 65. This one is above the family average.

Pit this against any other job →