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Technicians and associate professionals · code 3334

Real estate agents and property managers

AI can write the listing. Selling the house still takes someone who can read the room.

Six of the seven tasks are mostly out of AI's reach, including leases, collecting rent and negotiating with tenants and owners. Getting the maintenance people round it barely touches.

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

Real estate agents and property managers arrange the sale, purchase, rental and lease of real estate and property, usually on behalf of clients and on a commission basis. Tasks include - (a) obtaining information about properties to be sold or leased, the circumstances of their owner and the needs of prospective buyers or tenants; (b) showing properties to be sold or leased to prospective buyers or tenants and explaining terms of sale or conditions of rent or lease; (c) facilitating negotiations with tenants and owners on rents and fees; (d) drawing up leasing and sale agreements and estimating costs; (e) arranging signing of lease agreements and transfer of property rights; (f) collecting rent and bond monies on behalf of owners and inspecting properties before, during and after tenancies; (g) ensuring the availability of workers to perform maintenance of the properties. Examples of the occupations classified here: - Estate agent - Property manager - Realtor - Salesperson (real estate) Some related occupations classified elsewhere: - Mortgage clerk - 4312

  • property acquisitions manager
  • real estate leasing manager
  • real estate agent
  • housing manager
  • real estate manager

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

65 / 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: Minimal Exposure

278 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 7 tasks for how much of it AI could do. They average 35.2 out of 100, so it holds up at 100 − 35.2 = 64.8.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Minimal Exposure”: A few tasks are affected, but the heart of the job isn't.

This job rates 32.6 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?

Real estate agents and property managers 65

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.

  • Listings and descriptions.
  • Valuations from data.
  • Tenancy paperwork and rent collection.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Showing properties.
  • Negotiating deals.
  • Managing landlords and tenants.

Both

What's arriving

New work that only exists because the AI does.

  • Virtual viewings.
  • Online agencies.
  • Stricter rental regulation.

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: Medium

47 could do without you

It could take over some of the work, and help with more. It could help with 70 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

33 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 12 out of 100. The higher it is, the longer the robot waits.

33 How
hands-on
12 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 4 US jobs .

finger skill 13.9 · hand skill 6.7 · cramped spaces 15.1 · 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 46, against an average of 35. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 46

    Drawing up leasing and sale agreements and estimating costs

    Low
  2. 44

    Collecting rent and bond monies on behalf of owner and inspecting properties before, during and after tenancies

    Low
  3. 39

    Arranging signing of lease agreements and transfer of property rights

    Low
  4. 36

    Obtaining information about properties to be sold or leased, the circumstances of their owner and the needs of prospective buyers or tenants

    Low
  5. 33

    Showing properties to be sold or leased to prospective buyers or tenants and explaining terms of sale or conditions of rent or lease

    Low
  6. 30

    Facilitating negotiations with tenants and owners on rents and fees

    Low
  7. 20

    Ensuring the availability of workers to perform maintenance of the properties.

    Very Low

7 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
70
AI does it for you
47

Sidekick wins, by 23 points.

How good a match is this?

One Australian job matches, but only partly: not everyone in it does this job. 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 6121

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 0.06% of all the conversations: a tiny slice. People using AI for a job isn't the same as AI being able to do it.

Out of every 100 conversations

54
46

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 3 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 estate agents and property managers be worried?

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

Parts of it are changing. Drawing up agreements, collecting rent, arranging signings, gathering property information, showing properties and negotiating are the most exposed tasks, all Low; arranging maintenance rates Very Low. Listings, valuations and admin are increasingly automated; viewings and negotiation stay human.

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 82 jobs in the “Technicians and associate professionals” family, averaging 65. This one is below the family average.

Pit this against any other job →