Clerical support workers · code 4312
Statistical, finance and insurance clerks
Software processes the claims and totals the figures. This job is changing fast.
AI could take a fair chunk of all five tasks, including processing insurance claims, doing the sums and keeping records of securities.
What they actually do (and what else they get called)
Statistical, finance and insurance clerks obtain, compile and compute statistical or actuarial data or perform clerical tasks relating to the transactions of insurance establishments, banks and other financial establishments. Tasks include - (a) processing insurance enrolments, cancellations, claims transactions, policy changes and payments; (b) obtaining and compiling statistical or actuarial data based on routine or special sources of information; (c) calculating totals, averages, percentages and other details and presenting them in the required tabular form; (d) preparing financial documents, and calculating interest or brokerage charges and stamp duties payable; (e) maintaining records of bonds, shares and other securities bought or sold on behalf of clients or employers. Examples of the occupations classified here: - Actuarial clerk - Brokerage clerk - Finance clerk - Insurance clerk - Mortgage clerk - Securities clerk - Statistical clerk Some related occupations classified elsewhere: - Stocks and shares broker - 3311 - Accounting assistant - 3313 - Statistical assistant - 3314 - Trade broker - 3324 - Accounts clerk - 4311 - Bookkeeping clerk - 4311
- investment clerk
- auditing clerk
- property assistant
- foreign exchange cashier
- tax clerk
- insurance clerk
- back office specialist
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
36 / 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.
The ILO's official verdict: Exposed: Gradient 4
425 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 64 out of 100, so it holds up at 100 − 64 = 36.
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 11.8 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?
Statistical, finance and insurance clerks 36
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.
- Processing claims and policy changes.
- Calculations and tables.
- Records of securities.
Man
What people still do better
Judgement, trust and skilled hands. Hard to download.
- Unusual claims.
- Checking errors.
- Helping customers with problems.
Both
What's arriving
New work that only exists because the AI does.
- Automated claims.
- AI fraud detection.
- Operations and 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 74 of 100.
The robot
The wildcard. Has hands, still working out stairs.
How much it matters here: Lower
12 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 5 US jobs .
finger skill 23.2 · hand skill 13.9 · cramped spaces 6.9 · 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 67, against an average of 64. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.
- 67
Processing insurance enrolments, cancellations, claims transactions, policy changes and payments
Medium - 65
Calculating totals, averages, percentages and other details and presenting them in the required tabular form
Medium - 65
Obtaining and compiling statistical or actuarial data based on routine or special sources of information
Medium - 64
Maintaining records of bonds, shares and other securities bought or sold on behalf of clients or employer.
Medium - 60
Preparing financial documents, and calculating interest or brokerage charges and stamp duties payable
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
New · the weekly task audit
Your week, your score
The score above assumes finance and insurance 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
36 / 100
Same as the job as a whole, so far.
Move the sliders to make it yours.
The job as a whole: 36 / 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
- 74
- AI does it for you
- 68
Sidekick wins, by 6 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 5523
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 0.85% of the conversations.
The data is sorted by US job, and this one matches 4 of them. We've combined them, counting each by how often it comes up in the conversations, so the busiest one counts most.
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 finance and insurance 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. Insurance transactions, calculations, statistical data, securities records and financial documents are all rated Medium. Automation and AI already handle much of this.
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.
- Stock clerks 63
- 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
- Coding, proof-reading and related cle… 49
- 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
- Typists and word processing operators 35
- Data entry clerks 30