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Clerical support workers · code 4222

Contact centre information clerks

AI voice agents are taking many of these calls. The difficult ones still need a person.

AI could take a fair chunk of all six tasks: logging requests, sending documents, taking payments and passing work along. With nothing safely out of reach, it scores second lowest of the twenty.

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

Contact centre information clerks provide advice and information to clients, respond to queries regarding a company’s or an organization’s goods, services or policies, and process financial transactions using the telephone or electronic communications media such as email. They are located in premises that may be remote from clients or other operations of the organizations or companies about whom information is provided. Tasks include - (a) dealing with incoming calls and messages from clients, whether to answer queries, handle calls for service or sort out complaints; (b) identifying requirements and entering events into a computer system; (c) dispatching tasks to other units, when relevant; (d) invoicing or handling payments, where necessary; (e) sending letters, information sheets and other documents to clients; (f) advising clients of additional products or services. Example of the occupations classified here: - Customer contact centre information clerk Some related occupations classified elsewhere: - Telephone operator - 4223 - Market research interviewer - 4227 - Call centre salesperson - 5244 - Customer contact centre salesperson - 5244 - Telemarketing salesperson - 5244 Note Only workers who respond to requests for information and/or handle straightforward transactions are classified in Unit Group 4222: Contact Centre Information Clerks. Those who provide specialized services, such as travel consultants, are classified in the relevant specialized group whether or not they are located in customer contact centres.

  • customer contact centre information 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

411 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 58.1 out of 100, so it holds up at 100 − 58.1 = 41.9.

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 28.8 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?

Contact centre information 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.

  • Routine calls and questions.
  • Logging requests.
  • Payments.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Complex complaints.
  • Vulnerable customers.
  • Exceptions.

Both

What's arriving

New work that only exists because the AI does.

  • AI voice agents.
  • Supervising AI conversations.
  • Smaller contact centres.

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

75 could do without you

It could take over a lot of this job on its own. It could help with 73 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 18 out of 100. The higher it is, the longer the robot waits.

29 How
hands-on
18 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 29.5 · hand skill 21.4 · cramped spaces 2 · 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 66, 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. 66

    Sending letters, information sheets and other documents to clients

    Medium
  2. 63

    Identifying requirements and entering events into a computer system

    Medium
  3. 61

    Invoicing or handling payments, where necessary

    Medium
  4. 56

    Dealing with incoming calls and messages from clients, whether to answer queries, handle calls for service or sort out complaints

    Medium
  5. 52

    Dispatching tasks to other units, when relevant

    Medium
  6. 52

    Advising clients of additional products or services.

    Medium

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
73
AI does it for you
75

Replacement wins, by 2 points. That's rare.

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 5411

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

45
55

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 0.44% of the conversations.

The data is sorted by US job, and this one matches 2 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 contact centre workers be worried?

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

Yes, this is one of the most exposed jobs. Sending documents, logging requests, payments, handling calls, dispatching and upselling are all rated Medium. AI voice and chat agents are taking on routine calls, so remaining roles lean towards complex cases.

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.