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Service and sales workers · code 5169

Personal services workers not elsewhere classified

An app can make the match. It can't make the evening fun.

Welcoming and looking after nightclub guests is mostly out of AI's reach. Going on outings with clients and being a dance partner it barely touches.

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

This unit group covers personal service workers not classified elsewhere in Sub-major Group 51: Personal Services Workers. For instance, those who provide services and companionship as dancing partners, social escorts and night-club hostesses or hosts are classified here. In such cases tasks would include - (a) accompanying clients to restaurants and other outings; (b) acting as a dancing partner; (c) welcoming clients to a night-club and ensuring that they are entertained well. Examples of the occupations classified here: - Club host - Club hostess - Dancing partner - Social escort Some related occupations classified elsewhere: - Companion - 5162 Note Countries that have a requirement to compile statistics on those who provide sexual services to clients on a commercial basis should include them in Unit Group 5169: Personal Services Workers Not Elsewhere Classified. If there is a need, in national adaptations of ISCO-08, to identify this group separately from other occupations included in Unit Group 5169, use of Unit Group code 5168 is recommended for this purpose.

  • dating service consultant
  • club host/club hostess
  • escort

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

79 / 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.

← Robot's turf Human's turf →

The ILO's official verdict: Not Exposed

159 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 3 tasks for how much of it AI could do. They average 21.3 out of 100, so it holds up at 100 − 21.3 = 78.7.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

This job rates 44.8 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?

Personal services workers not elsewhere classified 79

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.

  • Bookings and matching through apps.
  • Scheduling and payments.
  • Marketing online.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Making people feel welcome.
  • Social skill and charm.
  • Reading the mood of a room.

Both

What's arriving

New work that only exists because the AI does.

  • Platforms that manage bookings and ratings.
  • Online dating and event services.
  • Stricter safety and verification.

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: Low

27 could do without you

It could take over very little of the work on its own. It could help with 42 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

45 how hands-on

A fair part of this job is hands-on, so robots would be needed for that part, not just software.

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 21 out of 100. The higher it is, the longer the robot waits.

45 How
hands-on
21 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 6 US jobs .

finger skill 27.4 · hand skill 20.1 · cramped spaces 15.5 · 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 27, against an average of 21. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 27

    Welcoming clients to a night-club and ensuring that they are entertained well.

    Low
  2. 25

    Accompanying clients to restaurants and other outings

    Very Low
  3. 13

    Acting as a dancing partner

    Very Low

3 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
42
AI does it for you
27

Sidekick wins, by 15 points.

How good a match is this?

2 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 4319, 4518

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

51
49

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 0.23% 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 hosts and personal service workers be worried?

Short answer: not much. Some of the chores will change, and good riddance.

No. Welcoming and entertaining clients is the most exposed task, rated Low; accompanying and dancing rate Very Low. Apps change how people find these services, not the in-person work.

Worth remembering: we score tasks, not jobs. When AI takes on a task, the job usually reshuffles around it rather than vanishing.

Where this job could lead

None of the new jobs we've written up start from here yet. Could be you're the first. See the jobs AI is creating →

How are the neighbours doing?

There are 39 jobs in the “Service and sales workers” family, averaging 74. This one is above the family average.

Pit this against any other job →