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Service and sales workers · code 5243

Door to door salespersons

AI can find the leads. Knocking on the door is still you.

AI could take a fair chunk of four of the seven tasks, including listing prospects and recording orders. Travelling between clients with a case of samples it barely touches.

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

Door-to-door salespersons describe, demonstrate and sell goods and services and solicit business for establishments by approaching or visiting potential customers, usually residents in private homes, by going from door to door. Tasks include - (a) giving details of various goods or services and of terms of sale by visiting clients and potential clients in private homes; (b) demonstrating or describing goods or services on offer; (c) recording orders and transactions and placing orders received with suppliers; (d) preparing invoices and sales contracts and accepting payment; (e) distributing letters, information sheets and other documents to clients; (f) compiling lists of prospective clients and calling on them to obtain new business; (g) travelling between sales areas and clients and transporting samples or goods for sale. Examples of the occupations classified here: - Door-to-door salesperson - Door-to-door sales representative - Party plan salesperson Some related occupations classified elsewhere: - Commercial sales representative - 3322 - Street vendor - 9520

  • door to door seller

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

54 / 100

Changing significantly

AI could do a real share of the everyday tasks. The job is changing shape, not vanishing.

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: Exposed: Gradient 2

358 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 45.9 out of 100, so it holds up at 100 − 45.9 = 54.1.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 2”: A good share of the tasks are affected.

This job rates 25.7 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?

Door to door salespersons 54

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.

  • Finding leads.
  • Orders and invoices.
  • Product information.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Visiting people at home.
  • Persuading in person.
  • Building trust on the doorstep.

Both

What's arriving

New work that only exists because the AI does.

  • Solar and heat pump sales.
  • Tablet-based ordering.
  • Consumer protection rules.

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

42 could do without you

It could take over some of the work, and help with more. It could help with 61 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

26 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 9 out of 100. The higher it is, the longer the robot waits.

26 How
hands-on
9 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, matched to one US job .

finger skill 10.7 · hand skill 3.6 · cramped spaces 11.5 · 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 62, against an average of 46. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 62

    Compiling lists of prospective clients and calling on them to obtain new business

    Medium
  2. 59

    Recording orders and transactions and placing orders received with suppliers

    Medium
  3. 59

    Preparing invoices and sales contracts and accepting payment

    Medium
  4. 55

    Demonstrating or describing goods or services on offer

    Medium
  5. 47

    Giving details of various goods or services and of terms of sale by visiting clients and potential clients in private homes

    Low
  6. 25

    Distributing letters, information sheets and other documents to clients

    Low
  7. 15

    Travelling between sales areas and clients and transporting samples or goods for sale.

    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
61
AI does it for you
42

Sidekick wins, by 19 points.

How good a match is this?

One Australian job matches this one closely, so this is about as reliable as it gets here.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.8-observed-use matched to Australian jobs 6217

So, should door-to-door salespeople be worried?

Short answer: not worried, but paying attention. The job is changing.

Parts of it are exposed. Prospect lists, orders, invoices and describing products are rated Medium; visiting clients and leaflets are Low; travelling rates Very Low. Online sales and AI take on admin and lead generation; the doorstep stays 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 39 jobs in the “Service and sales workers” family, averaging 75. This one is below the family average.

Pit this against any other job →