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Service and sales workers · code 5419

Protective services workers not elsewhere classified

Cameras can spot the parked car. Pulling a swimmer from the water is still a lifeguard's job.

AI barely touches any of the five tasks, including enforcing parking rules, rounding up stray animals, running school crossings and lifeguarding.

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

This unit group covers protective services workers not classified elsewhere in Minor Group 541: Protective Services Workers. For instance, the unit group includes lifeguards, crossing guards and animal control officers. Tasks include - (a) patrolling beaches and swimming pools to prevent accidents and to rescue bathers from drowning; (b) monitoring traffic flow to locate safe gaps through which pedestrians can cross streets; (c) responding to citizen complaints concerning stray domestic animals, livestock and wildlife, issuing warnings and citations to owners and impounding lost, homeless and dangerous animals; (d) patrolling an assigned area to enforce parking regulations; (e) directing traffic. Examples of the occupations classified here: - Animal control officer - Beach patrolman/woman - Crossing guard - Game warden - Lifeguard - Traffic warden Some related occupations classified elsewhere: - Doorkeeper - 5414 - Museum guard - 5414 - Watchman/woman - 5414

  • civil enforcement officer
  • crossing guard
  • aircraft marshaller
  • life guard
  • coastguard watch officer
  • street warden
  • emergency response worker

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

80 / 100

Strongly holds up against AI

Most of this job still needs an actual human. AI would mostly be making the tea.

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

139 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 5 tasks for how much of it AI could do. They average 19.7 out of 100, so it holds up at 100 − 19.7 = 80.3.

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.

from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.8-observed-use

Pinch of salt: this number is probably too rosy

It only asks what AI software could do, and this job is 52 out of 100 hands-on. A chatbot can't do that part. A robot might, one day, and nobody measures how close that is.

Man v Bot · compare

Who holds up better?

Protective services workers not elsewhere classified 80

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.

  • Parking enforcement by camera and app.
  • Incident reporting.
  • Patrol scheduling.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Rescuing people in danger.
  • Helping people cross safely.
  • Dealing with the public face to face.

Both

What's arriving

New work that only exists because the AI does.

  • Drones for beach and water safety.
  • Digital enforcement systems.
  • Community safety 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: Low

27 could do without you

It could take over very little of the work on its own. It could help with 58 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Some

52 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?

Physical work where helping and caring for people is a big part of the job. For care work, whether a machine could do the movements is only half the question. The other half is whether anyone wants one to. The US data counts helping workmates too, so a few trades end up here.

Robots hate fiddly work in awkward spaces. On that measure, this job scores 29 out of 100. The higher it is, the longer the robot waits.

52 How
hands-on
29 How fiddly
and cramped

Kind of hands-on work Hands-on, helping and caring for others

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 9 US jobs , so treat it as rough.

finger skill 30.4 · hand skill 31.4 · cramped spaces 26.1 · averaged · rule: hands-on 50+ · caring 4+ of 7

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 24, against an average of 20. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 24

    Patrolling an assigned area to enforce parking regulations

    Very Low
  2. 22

    Responding to citizen complaints concerning stray domestic animals, livestock and wildlife, issuing warnings and citations to owners and impounding lost, homeless and dangerous animals

    Very Low
  3. 22

    Directing traffic.

    Very Low
  4. 21

    Monitoring traffic flow to locate safe gaps through which pedestrians can cross streets

    Very Low
  5. 10

    Patrolling beaches and swimming pools to prevent accidents and to rescue bathers from drowning

    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 0.8-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
58
AI does it for you
27

Sidekick wins, by 31 points.

How good a match is this?

6 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 2343, 4412, 4422, 4524, 5995, 8999

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?

Tiny sample alert This job makes up 0.03% of all the conversations: a tiny slice, mostly the paperwork rather than the work. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

53
47

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.

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 wardens, lifeguards and crossing patrols be worried?

Short answer: not really. Put the kettle on.

No. Every task rates Very Low: enforcing parking, directing traffic, helping people cross and patrolling beaches. Cameras and apps take over some enforcement, but safety and rescue need people.

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 →