Service and sales workers · code 5312
Teachers' aides
AI can make the worksheets. It can't help a child who's struggling to sit still.
Preparing and copying teaching materials is the one task AI could take a fair chunk of. It barely touches five of the seven, including helping children with learning difficulties and social skills.
What they actually do (and what else they get called)
Teachers’ aides perform non-teaching duties to assist teaching staff, and provide care and supervision for children in schools and pre-schools. Tasks include - (a) demonstrating, supervising and participating in activities that enhance the physical, social, emotional and intellectual development of children in schools and pre-schools; (b) preparing indoor and outdoor areas for learning and recreational activities; (c) assisting children with intellectual, physical, behavioural and other learning difficulties with their studies; (d) assisting children individually to learn social skills; (e) assisting with preparing teaching materials, and copying and collating written and printed material; (f) operating audiovisual equipment, computers and other teaching aides; (g) distributing and collecting lesson material. Examples of the occupations classified here: - Pre-school assistant - Teacher’s assistant
- special educational needs assistant
- early years teaching assistant
- primary school teaching assistant
- secondary school teaching assistant
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
76 / 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.
The ILO's official verdict: Not Exposed
189 of 427 for holding up against AI
Not quite your week? Make it yours ↓
Why this score?
The ILO rated each of this job's 7 tasks for how much of it AI could do. They average 24.1 out of 100, so it holds up at 100 − 24.1 = 75.9.
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 29.1 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?
Teachers' aides 76
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.
- Preparing and copying materials.
- Setting up classroom technology.
- Worksheets and resources.
Man
What people still do better
Judgement, trust and skilled hands. Hard to download.
- Supporting children who are struggling.
- Helping with social and emotional skills.
- Keeping activities safe.
Both
What's arriving
New work that only exists because the AI does.
- Using AI tutoring tools with pupils.
- Supporting children with additional needs.
- Digital learning platforms.
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
31 could do without you
It could take over very little of the work on its own. It could help with 65 of 100.
The robot
The wildcard. Has hands, still working out stairs.
How much it matters here: Lower
29 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.
hands-on
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 2 US jobs .
finger skill 17 · hand skill 16 · cramped spaces 12.1 · 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 54, against an average of 24. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.
- 54
Assisting with preparing teaching materials, and copying and collating written and printed material
Medium - 32
Operating audio-visual equipment, computers and other teaching aides
Low - 20
Distributing and collecting lesson material.
Very Low - 18
Demonstrating, supervising and participating in activities that enhance the physical, social, emotional and intellectual development of children in schools and pre-schools
Very Low - 17
Preparing indoor and outdoor areas for learning and recreational activities
Very Low - 15
Assisting children with intellectual, physical, behavioural and other learning difficulties with their studies
Very Low - 14
Assisting children individually to learn social skills
Very Low
7 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
New · the weekly task audit
Your week, your score
The score above assumes teaching assistants 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
Your score
76 / 100
Same as the job as a whole, so far.
Move the sliders to make it yours.
The job as a whole: 76 / 100
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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
- 65
- AI does it for you
- 31
Sidekick wins, by 34 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 4221
So, should teaching assistants be worried?
Short answer: not much. Some of the chores will change, and good riddance.
The preparation is moving. Preparing and copying teaching materials is rated Medium, and using classroom technology is Low; supporting children, including those with additional needs, rates Very Low. AI can take a lot of the prep; the one-to-one support stays 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 39 jobs in the “Service and sales workers” family, averaging 74. This one is above the family average.
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- Beauticians and related workers 82
- Fire-fighters 82
- Cooks 82
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- Protective services workers not elsew… 80
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- Security guards 80
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- Cleaning and housekeeping supervisors… 78
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- Food service counter attendants 76
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- Waiters 72