Clerical support workers · code 4321
Stock clerks
Scanners already count the stock. Finding the missing pallet is still a person.
All five tasks are mostly out of AI's reach, from keeping stock records and ordering to logging deliveries and weighing goods.
What they actually do (and what else they get called)
Stock clerks maintain records of goods produced and production materials received, weighed, issued, dispatched or put into stock. Tasks include - (a) arranging and controlling receipt and dispatch of goods and keeping relevant records; (b) maintaining stock records, verifying issue of goods, estimating needs and making requisitions of new stocks; (c) receiving, storing and issuing tools, spare parts or various equipment, and maintaining relevant records; (d) weighing goods received or produced, or for issue or dispatch, and maintaining relevant records; (e) compiling inventories of furniture and other items received for storage. Examples of the occupations classified here: - Dispatch clerk (stock) - Freight clerk - Stock clerk - Storeroom clerk - Weighing clerk
- inventory coordinator
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
63 / 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: Minimal Exposure
296 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 5 tasks for how much of it AI could do. They average 36.9 out of 100, so it holds up at 100 − 36.9 = 63.1.
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 60.2 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, and for work like this robots are the bigger question.
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?
Stock clerks 63
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.
- Stock records and requisitions.
- Receipt and dispatch tracking.
- Inventory counts by scanner.
Man
What people still do better
Judgement, trust and skilled hands. Hard to download.
- Receiving and checking goods.
- Sorting out missing and damaged stock.
- Organising storage.
Both
What's arriving
New work that only exists because the AI does.
- Warehouse management systems.
- RFID and automated counting.
- Working alongside warehouse robots.
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
47 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: Higher
60 how hands-on
Most of this job needs hands, a body or turning up. That's robot territory, and nobody measures how far robots have got well enough to give you a number. We won't make one up.
So could a robot do the physical part?
Less fine handwork and fewer cramped spaces than a typical hands-on job. That clears one hurdle for machines. It doesn't mean machines are doing this work yet.
Robots hate fiddly work in awkward spaces. On that measure, this job scores 32 out of 100. The higher it is, the longer the robot waits.
hands-on
and cramped
Kind of hands-on work Hands-on, less fiddly work
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 36.4 · hand skill 38.7 · cramped spaces 22.1 · averaged · rule: hands-on 50+ · fiddly under 39.4
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 43, against an average of 37. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.
- 43
Maintaining stock records, verifying issue of goods, estimating needs and making requisitions of new stocks
Low - 39
Arranging and controlling receipt and dispatch of goods and keeping relevant records
Low - 39
Receiving, storing and issuing tools, spare parts, or various equipment and maintaining relevant records
Low - 38
Compiling inventories of furniture and other items received for storage
Low - 27
Weighing goods received or produced, or for issue or dispatch and maintaining relevant records
Low
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
New · the weekly task audit
Your week, your score
The score above assumes stock clerks 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
Your score
63 / 100
Same as the job as a whole, so far.
Move the sliders to make it yours.
The job as a whole: 63 / 100
Link copied.
Nothing you enter leaves your browser. The link just carries your slider positions.
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
- 47
Sidekick wins, by 18 points.
How good a match is this?
4 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 5911, 5912, 7129, 7411
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 0.06% of all the conversations: a tiny slice, mostly the paperwork rather than the work. People using AI for a job isn't the same as AI being able to do it.
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.
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 stock clerks be worried?
Short answer: not much. Some of the chores will change, and good riddance.
Parts of it are changing. Stock records, receipts and dispatches, issuing tools, inventories and weighing goods all rate Low. Warehouse systems and scanners take on the record-keeping, so the work leans towards handling goods and fixing discrepancies.
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 46. This one is above the family average.
- Filing and copying clerks 63
- Mail carriers and sorting clerks 59
- Client information workers not elsewh… 58
- Debt-collectors and related workers 57
- Production clerks 56
- Bookmakers, croupiers and related gam… 55
- Library clerks 54
- Pawnbrokers and money-lenders 52
- Transport clerks 51
- Hotel receptionists 49
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- Telephone switchboard operators 46
- Survey and market research interviewe… 45
- Travel consultants and clerks 45
- Receptionists (general) 44
- Enquiry clerks 43
- Secretaries (general) 42
- Contact centre information clerks 42
- Bank tellers and related clerks 42
- Scribes and related workers 42
- General office clerks 41
- Personnel clerks 40
- Payroll clerks 39
- Clerical support workers not elsewher… 37
- Accounting and bookkeeping clerks 36
- Statistical, finance and insurance cl… 36
- Typists and word processing operators 35
- Data entry clerks 30