YouGov Survey · February 2026
AI in Australian Healthcare
64% of Australian parents have asked AI for medical advice. A nationally representative look at how Australians use AI for health, where they trust the system, and what they want built next.
64%
of parents have asked AI for medical advice
44%
of all adults consult AI for health
39%
leave appointments confused about next steps
50%
would use a clinically-governed AI health service
Executive Summary
Six findings that reframe the story
01
Parents Are Already Taking Control
The most striking behavioural shift in the data isn’t generational — it’s parental.
Parents have made AI a routine part of managing family health.
Across every AI-health behaviour we measured, parents index roughly twice as high as non-parents.
The Parent Effect
Asked AI for medical advice
Used AI for a second opinion
Parents vs non-parents, by behaviour.
How Parents Use AI For Health
Parents aren’t experimenting at the margins. For the 35–55 cohort managing both their own health and their children’s, AI has already become a second opinion they consult before, during, and after the appointment.
02
The Shadow Doctor
AI is already the first port of call for millions — with no clinician in the loop.
44% of all Australians have consulted AI for a health question.
Usage runs deep: not just asking, but second-guessing GPs, acting on the answers, and uploading personal medical data.
AI Health Behaviours — All Adults
The Gender Split
Used AI for second opinion
Shared personal medical data
27% have already shared blood tests, scans, and results with consumer AI tools. That’s a shadow health system operating with no clinical governance, no accountability, and no continuity of care.
03
The Trust Paradox
Australians trust the advice they’re given — then leave the room unsure what to do with it.
High trust in the advice. Low clarity on the next step.
Four in five trust the system to give accurate advice, yet 39% still walk out confused about what to actually do.
Trust In Medical Advice
% who agree the healthcare system provides each.
Who Leaves Confused
By Gender
By Age Group
46–61 year olds
(Gen X)
30–45 year olds
(Millennials)
60+
(Boomers)
18–29 year olds
(Gen Z)
% who leave appointments unsure of next steps.
The Confidence Paradox
trust the healthcare system to give them accurate advice
still leave the appointment unsure what to actually do next
04
The Cost & Time Crisis
Two in three Australians hit a barrier before they can act preventatively on their health.
66% face a barrier to taking preventative control of their health.
Cost and time dominate the headlines, but fragmented records and fear of dismissal run just as deep.
Barriers To Preventative Health
High Costs — By Gender
High Costs — By Gender
Lack Of Time — By Generation
LACK OF TIME
30–45 year olds
(Millennials)
18–29 year olds
(Gen Z)
46–61 year olds
(Gen X)
60+
(Boomers)
Women carry a heavier cost burden (43% vs 32%), and time-poor millennials feel most squeezed of all. The barriers aren’t about willingness — they’re structural.
05
Enhanced, Not Replaced
Australians are clear about the role they want AI to play: alongside clinicians, not instead of them.
The clearest signal in the data: pair AI with professionals.
Net positive sentiment on AI supporting healthcare professionals runs to 49% — but trust in tech companies alone is not a given.
Sentiment — AI Supporting Healthcare Professionals
Net Positive: 49% | Net Negative: 31%
% Positive About AI In Healthcare — By Generation
% POSITIVE ABOUT AI IN HEALTHCARE
18–29 year olds
(Gen Z)
30–45 year olds
(Millennials)
46–61 year olds
(Gen X)
60+
(Boomers)
What Australians Believe About AI In Healthcare
“AI paired with a professional, not replacing them” is the single most-agreed statement about AI in healthcare — chosen by 40% of adults.
Respondents could select multiple statements.
The appetite is real: 49% are net positive about AI supporting clinicians, rising to 67% among under-45s.
But it’s conditional. 32% would not trust tech companies with their health data — which is exactly why clinical governance is the unlock, not a nice-to-have.
06
The Biodata Split
Comfort sharing biological data with AI divides the nation almost exactly in half — along clear generational lines.
The country is split 47/50 on sharing biodata with AI.
Under-45s are broadly comfortable; over-45s are not. The divide is generational far more than it is ideological.
Comfort Sharing Biological Data With AI
% Comfortable — By Generation
% COMFORTABLE SHARING HEALTH DATA WITH AI
18–29 year olds
(Gen Z)
30–45 year olds
(Millennials)
46–61 year olds
(Gen X)
60+
(Boomers)
Comfort collapses sharply after 45.
The people most comfortable sharing biodata are precisely the people already using AI for health — younger adults and parents. The market for a governed biodata service is not hypothetical; it’s the cohort already doing this without oversight.
07
The Feeling Of Control
A clinically-governed AI service makes a third of Australians feel more in control — and half of millennials.
34% would feel more in control. Only 22% would feel less.
Among 30–45 year olds the effect is strongest — half say a governed AI service would make them feel more in control of their health.
Effect On Sense Of Control
% Who Would Feel More In Control — By Generation
% WHO WOULD FEEL MORE IN CONTROL
30–45 year olds
(Millennials)
18–29 year olds
(Gen Z)
46–61 year olds
(Gen X)
60+
(Boomers)
08
What Australians Actually Need
When described a clinically-governed AI health service, half of adults — and two-thirds of parents — say they’d use it.
Respondents were told: “Please imagine you could use an AI-powered platform that could securely analyse your biological data (e.g. cholesterol levels, blood cell counts, organ function and age) via a kit delivered to your address then sent back, to provide personalised guidance that's informed by clinical experts (i.e. medically trained experts interpreting your data), on what the data suggests about your health and what may help improve it.”
50% would use it. 68% of parents would.
Net likely runs to 50% nationally — and the demand concentrates exactly where the barriers and AI usage are highest.
Likelihood To Use — All Adults
Likelihood to use a clinically-governed AI health analysis service. Net Likely: 50% | Net Unlikely: 29%
Likelihood To Use — By Life Stage
% WHO WOULD USE A CLINICALLY-GOVERNED AI HEALTH SERVICE
Parents (under 18 at home)
30–45 year olds
18–29 year olds
46–61 year olds
60+
The Parent Effect On Demand
The Parent Effect On Demand
% likely to use a clinically-governed AI health service.
The demand is for better tools within the healthcare system — not for a replacement outside it.
This is an unmet need, not a speculative one. The people most likely to use a governed AI service are the parents and under-45s already turning to ungoverned AI today.
09
Who Needs This Most
Two audiences carry the story: the time-poor working parent already using AI, and the sceptic the system has under-served.
The Working Parent
35–55, managing their own health and their children’s
What they face
What they do
Already using AI without oversight, and the readiest to adopt a governed alternative.
The Under-Served Sceptic
Skews female — let down by the system, wary of tech
What they face
What they believe
Higher barriers and lower trust make clinical governance the deciding factor for this group.
10
What The System Must Deliver
Meet the demand that already exists
44% of adults and 64% of parents already consult AI for health. The behaviour is here. The opportunity is to bring it inside a governed system rather than leave it in the shadows.
Governance is the product
Sentiment is conditional: 32% won’t trust tech companies with health data, but the #1 wish (40%) is AI paired with a clinician. Clinical oversight is what converts interest into use.
Serve the under-served first
Women and time-poor parents face the highest barriers and the most post-appointment confusion. A clinically-governed AI service speaks directly to the people the current system serves least well.
Source: YouGov survey of 1,043 Australian adults aged 18+. Fieldwork 9–11 February 2026, weighted to ABS population estimates. ISO 20252:2019 accredited.