
State of AI in Healthcare
Adoption, Jobs, Capability and the Opportunity Ahead
The sector-level intelligence your team needs before the next board meeting
Eighty-one per cent of US physicians now use AI professionally and two-thirds of hospitals have deployed ambient documentation -- yet only 8% of clinicians report clear institutional AI policies, no country outside the US maintains a public AI device registry, and no malpractice insurer has priced the risk. This Q2 2026 Industry Overview tracks the gap between capability and governance across five verified deployments, 1,451 FDA-authorised devices, and the five unresolved tensions -- validation, liability, equity, interoperability, and consent -- that determine which health systems pull ahead. Written by engineers who build production AI systems -- for healthcare leaders who need a model of the sector, not a feed of its developments.
- 5 verified case studies across 3 continents -- including one widely deployed AI that underperformed
- The five-layer clinical AI maturity model -- from documentation to population health, mapped to governance readiness
- 1,451 FDA-authorised devices and the regulatory landscape across FDA, EU AI Act, MHRA, and WHO
- 25 profession-specific cross-references to the AI+ Healthcare AI Pack for implementation guidance
- 7 signals to watch in Q3 2026 -- regulatory deadlines, clinical trials, and litigation that will shape procurement decisions
Written by engineers who build production AI systems -- for healthcare leaders who need a model of the sector, not a feed of its developments.
