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Clerical support workers · code 4212

Bookmakers, croupiers and related gaming workers

Bookmakers and croupiers and related gaming workers determine odds and receive and pay off bets on results of sporting or other events, or conduct games of chance in gambling establishments. Tasks include - (a) determining risks to decide odds and to hedge or refuse bets; (b) preparing and issuing lists of approximate odds; (c) distributing cards, rolling dice or spinning a roulette wheel: (d) explaining and interpreting operating rules of a gambling establishment; (e) announcing winning numbers, paying winners and collecting payments from losers; Examples of the occupations classified here: - Bookmaker - Croupier

A good share of the tasks are affected. It ranks 353 of 427 for holding up against AI.

Also known as

  • casino gaming manager
  • bookmaker
  • bingo caller
  • odds compiler
  • tote operator
  • lottery operator
  • casino cashier
  • gaming dealer

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

55.4
Holds up
against AI Exposed: Gradient 2

AI could take on 44.6 of 100, on average
so it holds up at 100 − 44.6 = 55.4

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

31.9
How hands-on
out of 100

From O*NET, averaged across 4 US jobs

27.2
How fiddly
and cramped

finger skill 35 · hand skill 32.8 · cramped spaces 13.7 · 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 31.9 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 65, while the average is 44.6. 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. 65

    Preparing and issuing lists of approximate odds

    Medium
  2. 56.5

    Determining risks to decide odds and to hedge or refuse bets

    Medium
  3. 49

    Announcing winning numbers, paying winners and collecting payments from losers.

    Low
  4. 34.8

    Explaining and interpreting operating rules of a gambling establishment

    Low
  5. 17.8

    Distributing cards, rolling dice or spinning a roulette wheel

    Very 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.

3 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.

AI helps you
66
AI does it for you
57.3

Helping wins by 8.7 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 4313, 5523, 5611

Compared with similar jobs

There are 29 jobs in the “Clerical support workers” group, averaging 46.2. This one is above that.