Professionals · code 2359

Teaching professionals not elsewhere classified

AI can revise the course. Keeping a student going when they want to quit is still a teacher.

Updating courses and materials is the one task AI could take a fair chunk of. Ten of the twelve are mostly out of its reach, including teaching theory and demonstrating practical skills.

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

This unit group covers teaching professionals not classified elsewhere in Sub-major Group 23: Teaching Professionals. For instance, the group includes those who provide private tuition in subjects other than foreign languages and the arts, and those who provide educational counselling to students. In such cases tasks performed would include - (a) assessing 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 the subject area being studied; (e) assigning exercises and work relevant to students’ level of ability, interests and aptitude; (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 and assessments; (i) counselling students regarding educational issues such as course and programme selection, class scheduling, school adjustment, truancy, study habits and career planning; (j) counselling students to help them understand and overcome personal, social or behavioural problems affecting their education; (k) preparing students for later educational experiences by encouraging them to explore learning opportunities and to persevere with challenging tasks. Examples of the occupations classified here: - Literacy tutor (private tuition) - Mathematics coach (private tuition) - School counsellor - Student adviser Some related occupations classified elsewhere: - University lecturer - 2310 - Vocational education teacher - 2320 - Secondary school teacher - 2330 - Primary school teacher - 2341 - Intensive language teacher - 2353 - Migrant education teacher - 2353 - Music teacher (private tuition) - 2354 - Dance teacher (private tuition) - 2355 - Drama teacher (private tuition) - 2355 - Painting teacher (private tuition) - 2355 - Sculpture teacher (private tuition) -2355 - Educational psychologist - 2634 - Family counsellor - 2635 - Social worker - 2635

e-learning architect
academic support officer
e-learning developer
admissions coordinator
prison instructor
further education teacher
learning mentor
educational counsellor
tutor
instructional designer
academic advisor
public speaking coach

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

67 / 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

262 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 12 tasks for how much of it AI could do. They average 32.7 out of 100, so it holds up at 100 − 32.7 = 67.3.

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 16.9 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?

Teaching professionals not elsewhere classified 67

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 materials and curricula.
Presenting theory and setting exercises.
Assessment and feedback.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

Encouraging and mentoring students.
Counselling students through problems.
Practical demonstrations.

Both

What's arriving

New work that only exists because the AI does.

Designing learning with AI tutors.
E-learning development.
Teaching people to work with AI.

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

44 could do without you

It could take over some of the work, and help with more. It could help with 70 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

17 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 7 out of 100. The higher it is, the longer the robot waits.

17 How
hands-on

7 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 9.4 · hand skill 7.6 · cramped spaces 4.1 · 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 53, against an average of 33. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

53
Revising curricula, course content, course materials and methods of instruction

Medium
50
Preparing and presenting material on the theory of the subject area being studied

Low
36
Planning, preparing and delivering programmes of study, lessons and workshops for individual students and groups

Low
35
Assigning exercises and work relevant to students‚Äô level of ability, interests and aptitude

Low
34
Preparing students for examinations and assessments

Low
31
Assessing students‚Äô level of ability and determining learning needs

Low
31
Counselling students regarding educational issues such as course and programme selection, class scheduling, school adjustment, truancy, study habits and career planning

Low
29
Assessing students and offering advice, criticism and encouragement

Low
28
Preparing students for later educational experiences by encouraging them to explore learning opportunities and to persevere with challenging tasks.

Low
27
Counselling students to help them understand and overcome personal, social or behavioural problems affecting their education

Low
26
Instructing and demonstrating practical aspects of the subject area being studied

Low
15
In such cases tasks performed would include -

Very Low

12 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: 70
AI does it for you: 44

Sidekick wins, by 26 points.

How good a match is this?

2 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 2492, 2721

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 1.27% 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 tutors, trainers and further education teachers be worried?

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

Parts of the work are changing. Revising curricula is rated Medium, and presenting theory, planning lessons, setting work, exam preparation, assessment and counselling are Low. AI tutors and course tools will take on a lot of content; motivation and support stay human.

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 →