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Clerical support workers · code 4226

Receptionists (general)

Receptionists (general) receive and welcome visitors, clients, or guests and respond to inquiries and requests including arranging for appointments. Tasks include - (a) receiving and welcoming visitors, guests or clients; (b) making appointments for clients; (c) dealing with telephone requests for information or appointments; (d) directing clients to appropriate location or person; (e) supplying information pamphlets, brochures or forms. Examples of the occupations classified here: - Medical office receptionist - Receptionist Some related occupations classified elsewhere: - Medical secretary - 3344 - Hotel receptionist - 4224

Most of the tasks are affected. It ranks 402 of 427 for holding up against AI.

Also known as

  • receptionist
  • night auditor

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

43.5
Holds up
against AI Exposed: Gradient 3

AI could take on 56.5 of 100, on average
so it holds up at 100 − 56.5 = 43.5

That's the whole sum, and you can check it against the ILO's study.

23.9
How hands-on
out of 100

From O*NET, matched to one US job

17.9
How fiddly
and cramped

finger skill 28.6 · hand skill 23.1 · cramped spaces 2 · averaged

Kind of hands-on work · hands-on under 50 Less than half hands-on

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.

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 0.7-work-setting measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement

What this number leaves out This job rates 23.9 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.

The tasks behind the score

The score is the average of these. A job is really a bundle of tasks, and an average can hide how uneven that bundle is.

The task AI could do most of scores 73.5, while the average is 56.5. A big gap means some of this job is wide open to AI and some of it barely at all. That's quite different from a job where everything sits somewhere in the middle, even when the averages match.

  1. 73.5

    Making appointments for clients

    Medium
  2. 68.5

    Supplying information pamphlets, brochures or forms.

    Medium
  3. 62.5

    Dealing with telephone requests for information or appointments

    Medium
  4. 41.5

    Directing clients to appropriate location or person

    Low
  5. 36.5

    Receiving and welcoming visitors, guests or clients

    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 0.7-work-setting

Helped, or replaced?

The score above can't tell a tool that makes you faster from one that does the task instead of you. Jobs and Skills Australia looked at those two things separately, and this is their result, matched to this job.

One Australian job matches, but only partly: not everyone in it does this job. Treat the numbers as a rough guide.

AI helps you
67
AI does it for you
66

Helping wins by 1 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 5421

Compared with similar jobs

There are 29 jobs in the “Clerical support workers” group, averaging 46.7. This one is below that.