What Leads to a New Health AI Winter

An AI winter is not technical failure: it is a trust collapse caused by structural mistakes.

A new health AI winter will not result from model limitations, but from structural drifts that destroy trust and trigger defensive regulation.

Systemic drifts

  • massive centralisation and exhaustive data extraction
  • confusion between prevention, information and clinical practice
  • opacity and lack of auditability
  • elite-only silos and citizen exclusion
  • extra-European legal and geopolitical dependency

The cost of distrust

Distrust leads to social rejection, over-regulation, fragmentation and loss of European competitiveness.

The alternative

A sober, accessible and responsible AI is the durable antidote: explicit limits, non-clinical prevention, sovereignty and pedagogy.