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Professionals · code 2265

Dieticians and nutritionists

An app can count the calories. Helping someone eat well with diabetes is still a dietitian.

Research and presenting findings is the one task AI could take a fair chunk of. Planning diets, reading nutrition data and advising people are mostly out of its reach.

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

Dieticians and nutritionists assess, plan and implement programmes to enhance the impact of food and nutrition on human health. Tasks include - (a) instructing individuals, families and communities on nutrition, the planning of diets and preparation of food to maximize health benefits and reduce potential risks to health; (b) planning diets and menus, supervising the preparation and serving of meals, and monitoring food intake and quality to provide nutritional care in settings offering food services; (c) compiling and assessing data relating to health and nutritional status of individuals, groups and communities based on nutritional values of food served or consumed; (d) planning and conducting nutrition assessments, intervention programmes, and education and training to improve nutritional levels among individuals and communities; (e) consulting with other health professionals and care providers to manage the dietary and nutritional needs of patients; (f) developing and evaluating food and nutrition products to meet nutritional requirements; (g) conducting research on nutrition and disseminating the findings at scientific conferences and in other settings. Examples of the occupations classified here: - Clinical dietician - Food service dietician - Nutritionist - Public health nutritionist - Sports nutritionist

  • dietitian

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

59 / 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: Minimal Exposure

334 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 41.4 out of 100, so it holds up at 100 − 41.4 = 58.6.

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 15.6 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?

Dieticians and nutritionists 59

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.

  • Research and summaries.
  • Diet plans and menus.
  • Nutritional analysis.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Clinical assessment of patients.
  • Working with doctors and care teams.
  • Supporting people to change habits.

Both

What's arriving

New work that only exists because the AI does.

  • Nutrition apps and wearables.
  • Weight loss drugs changing care.
  • Correcting AI diet misinformation.

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

40 could do without you

It could take over some of the work, and help with more. It could help with 76 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

16 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 11 out of 100. The higher it is, the longer the robot waits.

16 How
hands-on
11 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 23.1 · hand skill 3.6 · cramped spaces 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 57, against an average of 41. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 56

    Conducting research on nutrition and disseminating the findings at scientific conferences and in other settings.

    Medium
  2. 42

    Planning diets and menus, supervising the preparation and serving of meals, and monitoring food intake and quality to provide nutritional care in settings offering food services

    Low
  3. 42

    Developing and evaluating food and nutrition products to meet nutritional requirements

    Low
  4. 40

    Planning and conducting nutrition assessments, intervention programmes, and education and training to improve nutritional levels among individuals and communities

    Low
  5. 40

    Consulting with other health professionals and care providers to manage the dietary and nutritional needs of patients

    Low
  6. 37

    Compiling and assessing data relating to health and nutritional status of individuals, groups and communities based on nutritional values of food served or consumed

    Low
  7. 34

    Instructing individuals, families and communities on nutrition, the planning of diets and preparation of food to maximize health benefits and reduce potential risks to health

    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
76
AI does it for you
40

Sidekick wins, by 36 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 2511

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

52
48

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 0.24% of the conversations.

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 dietitians be worried?

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

Not much. Research is rated Medium; diet planning, food products, assessments, working with clinicians, analysis and education are Low. AI apps give general advice; clinical nutrition needs a professional.

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 →