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Clerical support workers · code 4313

Payroll clerks

Payroll software does the sums. When someone's pay is wrong, they still want a person.

AI could take a fair chunk of all five tasks, from checking hours and leave to preparing payments and reconciling timesheets.

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

Payroll clerks collect, verify and process payroll information and compute pay and benefit entitlements for employees within a department, company or other establishment. Tasks include - (a) maintaining records of employee attendance, leave and overtime to calculate pay and benefit entitlements, using manual or computerized systems; (b) preparing and verifying statements of earnings for employees, indicating gross and net salaries and deductions such as taxes, union dues, garnishments and insurance and pension plans; (c) preparing employee payments and benefit payments by cheque or electronic transfer; (d) reviewing time sheets, work charts, wage computation and other information to detect and reconcile payroll discrepancies; (e) verifying attendance, hours worked and pay adjustments, and posting information into designated records. Example of the occupations included here: - Wages clerk Some related occupations classified elsewhere: - Accounting assistant - 3313 - Bookkeeper - 3313 - Accounts clerk - 4311 - Bookkeeping clerk - 4311

  • payroll clerk

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

39 / 100

Highly exposed to AI

AI could do much of the everyday work. The job doesn’t disappear, but in five years you might not recognise it.

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 4

419 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 5 tasks for how much of it AI could do. They average 60.6 out of 100, so it holds up at 100 − 60.6 = 39.4.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 4”: The ILO’s highest group: nearly every task is affected.

This job rates 17.3 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?

Payroll clerks 39

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.

  • Timesheets and attendance.
  • Calculating pay.
  • Payslips and payments.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Fixing pay problems.
  • Explaining pay to staff.
  • Unusual cases.

Both

What's arriving

New work that only exists because the AI does.

  • Automated payroll.
  • Real-time tax reporting.
  • Payroll compliance roles.

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: High

68 could do without you

It could take over a lot of this job on its own. 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 13 out of 100. The higher it is, the longer the robot waits.

17 How
hands-on
13 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, matched to one US job .

finger skill 23.1 · hand skill 14.3 · cramped spaces 2.5 · 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 70, against an average of 61. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 70

    Verifying attendance, hours worked and pay adjustments, and posting information onto designated records.

    Medium
  2. 67

    Maintaining records of employee attendance, leave and overtime to calculate pay and benefit entitlements, using manual or computerized systems

    Medium
  3. 58

    Preparing and verifying statements of earnings for employees, indicating gross and net salaries and deductions such as taxes, union dues, garnishments and insurance and pension plans

    Medium
  4. 58

    Preparing employee payments and benefit payments by cheque or electronic transfer

    Medium
  5. 51

    Reviewing time sheets, work charts, wage computation and other information to detect and reconcile payroll discrepancies

    Medium

5 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
68

Sidekick wins, by 2 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 5513

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 0.01% 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

53
47

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 payroll clerks be worried?

Short answer: expect big changes. Better to steer them than be steered by them.

Yes, this is one of the most exposed jobs. Checking hours, attendance records, payslips, payments and reconciling discrepancies are all rated Medium. Payroll software already automates most of this; fixing problems 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 29 jobs in the “Clerical support workers” family, averaging 47. This one is below the family average.

Pit this against any other job →