Surfing the AI Tidal Wave
A discussion paper for health systems facing rapid AI-driven cost and capability shifts.
Abstract
This paper argues that health systems are constrained by scarce high-quality cognitive capacity and that AI cost collapse is relaxing that constraint. It proposes pairing AI throughput with systems-thinking discipline to avoid scaling confusion and to improve operational outcomes.
Core Argument
The paper frames health systems as knowledge-work organizations where performance is bounded by thinking quality multiplied by thinking throughput. AI changes the throughput term rapidly. Systems thinking protects the quality term from degradation.
Highlights
- Positions AI adoption as a strategic constraint decision, not a tooling decision.
- Describes the integration tax and why data liberation is often the real bottleneck.
- Adds governance logic for trust, including human verification and explicit control boundaries.
- Uses concrete healthcare-adjacent examples: documentation, conflict detection, discharge planning, and voice agents.
Recommended Reading Mode
Read this as a strategy paper, not a product pitch. It is intended to pressure-test assumptions and guide sequencing decisions for leadership teams deciding where AI belongs in the operating model.
Publication Metadata
- Author: John Sambrook
- Document type: Discussion paper
- Version: 1.2
- Initial release: December 2025
- Current revision: December 2025