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Professionals · code 2434

Information and communications technology sales professionals

AI can update the CRM. Understanding what the client's IT team really needs is still sales.

Updating customer records, writing sales reports and passing feedback on to manufacturers are where AI could take a fair chunk. Actually selling the kit and arranging installation are mostly out of its reach.

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

Information and communications technology (ICT) sales professionals sell, at the wholesale level, a range of computer hardware, software and other information and communications technology goods and services including installations, and provide specialized information as required. Tasks include - (a) soliciting orders and selling goods to retail, industrial, wholesale and other establishments; (b) selling technical equipment, supplies and related services to business establishments or individuals; (c) discussing the needs of new and existing customers and providing specialized information about how particular equipment, supplies and services meet those needs; (d) quoting and negotiating prices and credit terms, and completing contracts and recording orders; (e) updating customer records and preparing sales reports; (f) arranging delivery of goods, installation of equipment and the provision of services; (g) reporting customers’ reactions and requirements to manufacturers. Examples of the occupations classified here: - Sales representative (computers) - Sales representative (communications technology) Some related occupations classified elsewhere: - Shop sales assistants - 5223

  • technical sales representative in electronic and telecommunications equipment
  • ICT account manager
  • ICT presales engineer
  • ICT business development manager

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

49 / 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 3

380 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 51.3 out of 100, so it holds up at 100 − 51.3 = 48.7.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Exposed: Gradient 3”: Most of the tasks are affected.

This job rates 24.4 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?

Information and communications technology sales professionals 49

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.

  • Updating records and reports.
  • Quotes and contracts.
  • Feedback to suppliers.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Understanding customers' needs.
  • Technical conversations.
  • Closing deals.

Both

What's arriving

New work that only exists because the AI does.

  • Selling AI products.
  • Buyers researching with AI.
  • Subscription sales.

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

58 could do without you

It could take over some of the work, and help with more. It could help with 72 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

24 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 18 out of 100. The higher it is, the longer the robot waits.

24 How
hands-on
18 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 28 · hand skill 11.9 · cramped spaces 12.8 · 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 65, against an average of 51. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 65

    Updating customer records and preparing sales reports

    Medium
  2. 62

    Reporting customers' reactions and requirements to manufacturers.

    Medium
  3. 52

    Quoting and negotiating prices and credit terms, and completing contracts and recording orders

    Medium
  4. 48

    Discussing the needs of new and existing customers and providing specialized information about how particular equipment, supplies and services meet those needs

    Low
  5. 47

    Soliciting orders and selling goods to retail, industrial, wholesale and other establishments

    Low
  6. 45

    Selling technical equipment, supplies and related services to business establishments or individuals

    Low
  7. 40

    Arranging delivery of goods, installation of equipment and the provision of services

    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
72
AI does it for you
58

Sidekick wins, by 14 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 2252

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

32
68

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 0.78% of the conversations.

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 IT sales professionals be worried?

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

Parts of it are exposed. Customer records, reporting and pricing are rated Medium; discussing needs, selling and arranging delivery are Low. AI takes on admin; relationships and technical selling 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 92 jobs in the “Professionals” family, averaging 62. This one is below the family average.

Pit this against any other job →