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Professionals · code 2211

Generalist medical practitioners

AI can suggest a diagnosis. It can't examine you, or carry the responsibility.

Examining patients and doing procedures AI barely touches. Research, records and reporting to the authorities are where it gets closest, but all eleven tasks stay mostly out of its reach.

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

Generalist medical practitioners (including family and primary care doctors) diagnose, treat and prevent illness, disease, injury and other physical and mental impairments and maintain general health in humans through application of the principles and procedures of modern medicine. They do not limit their practice to certain disease categories or methods of treatment, and may assume responsibility for the provision of continuing and comprehensive medical care to individuals, families and communities. Tasks include - (a) conducting physical examinations of patients and interviewing them and their families to determine their health status; (b) ordering laboratory tests, X-rays and other diagnostic procedures and analysing findings to determine the nature of disorders or illnesses; (c) providing continuing medical care for patients including prescribing, administering, counselling on and monitoring curative treatments and preventive measures; (d) performing surgery and other clinical procedures; (e) advising individuals, families and communities on health, nutrition and lifestyle which aid prevention or treatment of disease and disorders; (f) providing referrals to patients and families for specialized care in hospitals, rehabilitation centres or other types of health care centres; (g) identifying, managing and providing referrals for complications before, during and after childbirth; (h) recording patients’ medical information and history and exchanging information with specialist practitioners and other health workers as required for continuing medical care; (i) reporting births, deaths and notifiable diseases to government authorities to meet legal and professional requirements; (j) conducting research in human health and medical services and disseminating the findings such as through scientific reports; (k) planning and participating in programmes designed to prevent the occurrence and spread of common diseases. Examples of the occupations classified here: - District medical doctor-therapist - Family medical practitioner - General practitioner - Medical doctor (general) - Medical officer (general) - Physician (general) - Primary health care physician - Resident medical officer specializing in general practice Some related occupations classified elsewhere: - Psychiatrist - 2212 - Specialist physician - 212 - Surgeon - 2212 - Clinical officer (paramedical) - 2240 - Feldscher - 2240 Notes Occupations included in this unit group require completion of a university-level degree in basic medical education plus postgraduate clinical training or equivalent for competent performance. Medical interns or residents who have completed their university education in basic medical education and are undertaking postgraduate clinical training in general medicine without any area of specialization are included here. Although in some countries ‘general practice’ and 'family medicine' may be considered as medical specializations, these occupations should always be classified here.

  • general practitioner

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

71 / 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: Not Exposed

231 of 427 for holding up against AI

Why this score?

The ILO rated each of this job's 11 tasks for how much of it AI could do. They average 28.7 out of 100, so it holds up at 100 − 28.7 = 71.3.

That's the whole sum. No black box, no secret sauce: you can check it against the ILO's study. ILO group “Not Exposed”: None of this job's tasks scored high enough to count.

This job rates 27 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?

Generalist medical practitioners 71

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.

  • Notes, letters and coding.
  • Guideline lookup and decision support.
  • Referrals and test results.

Man

What people still do better

Judgement, trust and skilled hands. Hard to download.

  • Physical examination.
  • Noticing what the patient didn't come in to say.
  • Clinical responsibility.

Both

What's arriving

New work that only exists because the AI does.

  • Reviewing AI-generated findings.
  • Patients who arrive already told an answer.
  • Continuous monitoring data.

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: Low

34 could do without you

It could take over very little of the work on its own. It could help with 70 of 100.

The robot

The wildcard. Has hands, still working out stairs.

How much it matters here: Lower

27 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 29 out of 100. The higher it is, the longer the robot waits.

27 How
hands-on
29 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 15 US jobs , so treat it as rough.

finger skill 41.5 · hand skill 33.8 · cramped spaces 11.8 · 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 48, against an average of 29. The bigger the gap, the more lopsided the job: some of it wide open to AI, some of it barely touched.

  1. 48

    Conducting research in human health and medical services and disseminating the findings such as through scientific reports

    Low
  2. 37

    Reporting births, deaths and notifiable diseases to government authorities to meet legal and professional requirements

    Low
  3. 36

    Recording patients' medical information and history and exchanging information with specialist practitioners and other health workers as required for continuing medical care

    Low
  4. 31

    Planning and participating in programmes designed to prevent the occurrence and spread of common diseases.

    Low
  5. 31

    Advising individuals, families and communities on health, nutrition and lifestyle which aid prevention or treatment of disease and disorders

    Low
  6. 31

    Providing referrals to patients and families for specialized care in hospitals, rehabilitation centres or other types of health care centres

    Low
  7. 30

    Ordering laboratory tests, X-rays and other diagnostic procedures and analysing findings to determine the nature of disorders or illnesses

    Low
  8. 22

    Identifying, managing and providing referrals for complications before, during and after childbirth

    Very Low
  9. 22

    Providing continuing medical care for patients including prescribing, administering, counselling on and monitoring curative treatments and preventive measures

    Very Low
  10. 16

    Conducting physical examinations of patients and interviewing them and their families to determine their health status

    Very Low
  11. 13

    Performing surgery and other clinical procedures

    Very Low

11 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
34

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 2531

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

63
37

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 0.27% of the conversations.

The data is sorted by US job, and this one matches 12 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 GPs be worried?

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

No. Research, reporting, records, prevention, advice, referrals and ordering tests are the most exposed tasks, all Low; ongoing care, examinations and procedures rate Very Low. AI is already helping with notes, letters and guidelines. The harder new work is reviewing machine findings.

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

How are the neighbours doing?

There are 92 jobs in the “Professionals” family, averaging 61. This one is above the family average.

Pit this against any other job →

A closer look

There is a written profile for a job in this group.