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SUPREME AI AGI

Prediction · What changes

AI will support diagnosis and triage in places with too few doctors, always under a clinician's oversight.

Medium termLow confidenceOpen

Why we think so

Medical models have reached exam-level scores and the WHO has set principles for AI in health. Places with few doctors stand to gain the most. We give this low confidence because real clinical evidence and regulation move slowly, as they should.

What would prove us wrong

Clinical trials showing AI support does not improve outcomes, or regulators not approving its use.

Review notes

21 October 2026: Studies show strong diagnostic dialogue, but the AI Index 2026 finds only 5% of over 500 clinical AI studies used real clinical data. Evidence from real care is still thin.

Horizon
Medium term. About 3 to 10 years out.
Confidence
Low confidence
Status
Open. Not yet decided either way.
Made
21 October 2026
Last reviewed
21 October 2026
Sectors
Health

The evidence it rests on

Public results from teams around the world. Read the sources and judge for yourself.

  • · Google Research (published in Nature)

    Language models encode clinical knowledge

    A medical language model reached passing-level scores on US medical licensing style questions, while the authors stressed it was not ready for clinical use.

    What it means for AGI: passing exams is not the same as being safe in practice. Evaluation has to follow real use.

    Source: nature.com(opens external site)

  • · World Health Organization

    WHO guidance on ethics and governance of AI for health

    The WHO set out principles for AI in health, including protecting human autonomy, transparency and accountability.

    What it means for AGI: rules for AI in high-stakes fields are arriving alongside the technology, and any general system must work within them.

    Source: who.int(opens external site)

  • · Google Research and Google DeepMind (published in Nature)

    Conversational diagnostic AI compared with doctors

    In a blinded study of text consultations with patient actors across 159 cases, specialists rated the AI system higher than primary care physicians on most measures. The authors say more research is needed before real-world use.

    What it means for AGI: medical reasoning in conversation is strong in studies; real clinical evidence is the next test.

    Source: nature.com(opens external site)

  • · Stanford Institute for Human-Centered AI

    AI Index 2026: capabilities jump, but unevenly

    Agent success on Terminal-Bench rose from 20% to 77.3% in a year, and agents solved 93% of cybersecurity tasks, yet robots succeeded at only 12% of real household tasks. AI data-centre power capacity reached 29.6 GW, and four in five US students use AI for schoolwork.

    What it means for AGI: digital abilities are racing ahead while physical abilities and governance lag.

    Source: hai.stanford.edu(opens external site)

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