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Professionals · code 2153

Telecommunications engineers

AI can design parts of the network. Making it work in the real world is still engineering.

AI could take a fair chunk of four of the seven tasks, led by signal processing and designing comms networks. Broadcast network design and upkeep are mostly out of its reach.

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

Telecommunications engineers conduct research and advise on, design and direct the construction, functioning, maintenance and repair of telecommunication systems and equipment. They study and advise on technological aspects of telecommunication engineering materials, products or processes. Tasks include - (a) advising on and designing telecommunications devices or components, systems, equipment and distribution centres; (b) specifying production or installation methods, materials, quality and safety standards and directing production or installation work of telecommunications products and systems; (c) organizing and directing maintenance and repair of existing telecommunication systems, motors and equipment; (d) researching and advising on telecommunications equipment; (e) planning and designing communications networks based on wired, fibre optical and wireless communication media; (f) designing and developing signal processing algorithms and implementing these through appropriate choice of hardware and software; (g) designing telecommunications networks and radio and television distribution systems, including both cable and over the air. Examples of the occupations classified here: - Broadcast engineer - Telecommunications engineer - Telecommunications engineering technologist Some related occupations classified elsewhere: - Electronics engineer - 2152

  • telecommunications engineer

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

52 / 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

370 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 48.2 out of 100, so it holds up at 100 − 48.2 = 51.8.

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 32.9 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?

Telecommunications engineers 52

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.

  • Network design and planning.
  • Signal processing algorithms.
  • Research and specifications.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Overseeing installations.
  • Safety and standards.
  • Solving problems in live networks.

Both

What's arriving

New work that only exists because the AI does.

  • 5G and 6G.
  • AI-run networks.
  • Satellite communications.

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

41 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

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

33 How
hands-on
31 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 2 US jobs .

finger skill 40.2 · hand skill 34.9 · cramped spaces 17 · 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 48. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 62

    Designing and developing signal processing algorithms and implementing these through appropriate choice of hardware and software

    Medium
  2. 56

    Planning and designing communications networks based on wired, fibre optical and wireless communication media

    Medium
  3. 55

    Researching and advising on telecommunications equipment

    Medium
  4. 54

    Advising on and designing telecommunications devices or components, systems, equipment and distribution centres

    Medium
  5. 45

    Specifying production or installation methods, materials, quality and safety standards and directing production or installation work of telecommunications products and systems

    Low
  6. 40

    Designing telecommunications networks and radio and television distribution systems, including both cable and over the air.

    Low
  7. 26

    Organizing and directing maintenance and repair of existing telecommunication systems, motors and equipment

    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
41

Sidekick wins, by 31 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 2633

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 under 0.01% 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

41
59

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.

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 telecoms engineers be worried?

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

Parts of the job are changing. Signal processing, network design, research and device design are rated Medium; installation methods, network design and maintenance are Low. AI design and network tools take on more; responsibility and fieldwork 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 61. This one is below the family average.

Pit this against any other job →