The World Economic Forum’s Davos 2026 live blog highlighted a session on mainstreaming AI throughout health systems, focusing on practical applications already moving from pilots into real-world delivery.

Bill Gates suggested that developing-world health systems may even get ahead of richer countries in deploying AI, especially where digital infrastructure can be designed with AI integration from the outset.

Speakers emphasized that progress depends on deliberate prioritization: countries must identify specific health problems where AI can deliver measurable value (e.g., disease surveillance, resource optimization, and improving access to services and information for patients).

Challenges noted included constrained funding, infrastructure gaps, difficulties scaling pilots, and the need to retain AI-trained health workers within national systems.

Why it matters: Health is becoming one of the first domains where “AI diffusion” could produce visible population-level outcomes. The winners may be systems that move fastest from pilots to scaled deployments, with clear prioritization and delivery capacity.