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Clerical support workers · code 4211

Bank tellers and related clerks

Apps already do most banking. People who can't use them still need a teller.

AI could take a fair chunk of five of the six tasks: crediting accounts, paying bills, changing currency and balancing the till. That gives it the lowest score of the twenty.

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

Bank tellers and related clerks deal directly with clients of banks or post offices in connection with receiving, changing and paying out money, or providing mail services. Tasks include - (a) processing customer cash deposits and withdrawals, cheques, transfers, bills, credit card payments, money orders, certified cheques and other related banking transactions; (b) crediting and debiting clients’ accounts; (c) paying bills and making money transfers on clients’ behalf; (d) receiving mail, selling postage stamps and conducting other post office counter business such as bill payments, money transfers and related business; (e) changing money from one currency to another, as requested by clients; (f) making records of all transactions and reconciling them with cash balance. Examples of the occupations classified here: - Bank teller - Money changer - Post office counter clerk Some related occupations classified elsewhere: - Cashier - 5230

  • bank teller
  • post office counter clerk

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

42 / 100

Changing significantly

AI could do a real share of the everyday tasks. The job is changing shape, not vanishing.

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: Exposed: Gradient 3

412 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 58.2 out of 100, so it holds up at 100 − 58.2 = 41.8.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 3”: Most of the tasks are affected.

This job rates 42.2 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?

Bank tellers and related clerks 42

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.

  • Deposits and withdrawals.
  • Payments and transfers.
  • Reconciling cash.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Helping people who can't use apps.
  • Spotting scams and fraud.
  • Community banking.

Both

What's arriving

New work that only exists because the AI does.

  • Banking hubs.
  • Scam prevention.
  • Digital banking help.

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

48 could do without you

It could take over some of the work, and help with more. It could help with 65 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

42 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 34 out of 100. The higher it is, the longer the robot waits.

42 How
hands-on
34 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 2 US jobs .

finger skill 37.6 · hand skill 35.7 · cramped spaces 28.3 · 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 64, against an average of 58. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 64

    Crediting and debiting clients' accounts

    Medium
  2. 64

    Paying bills and making money transfers on clients' behalf

    Medium
  3. 63

    Changing money from one currency to another, as requested by clients

    Medium
  4. 60

    Process customer cash deposits and withdrawals, cheques, transfers, bills, credit card payments, money orders, certified cheques and other related banking transactions

    Medium
  5. 59

    Making records of all transactions and reconciling them with cash balance.

    Medium
  6. 40

    Receiving mail, selling postage stamps and conducting other post office counter business such as bill payments, money transfers and related business

    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
65
AI does it for you
48

Sidekick wins, by 17 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 5521, 6211

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 0.02% 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

49
51

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 bank tellers be worried?

Short answer: not worried, but paying attention. The job is changing.

Yes, much of this job is exposed. Account transactions, bill payments, currency exchange, deposits and reconciliation are rated Medium; post office counter work is Low. Online banking and branch closures have been shrinking this job for years.

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 29 jobs in the “Clerical support workers” family, averaging 47. This one is below the family average.

Pit this against any other job →

A closer look

There is a written profile for a job in this group.