Writings
Writings on AI, data, and the organizational realities behind success and failure.
The Donkey That Does Not Starve
As AI systems become increasingly capable, many discussions quietly assume that motivation comes bundled with intelligence. What distinguishes humans may not be reasoning itself, but the urgency that comes from having something to lose.
The Cost of Knowing What to Believe
Computation is no longer software’s scarce resource. Judgment is. As AI makes answers increasingly cheap, the harder institutional problem becomes deciding which answers deserve to be trusted, acted upon, and defended.
Cleared for Deployment?
Aviation requires explicit authorization before entering controlled airspace. Clinical AI has no equivalent moment, even when models move into hospitals that differ fundamentally from those they were trained on.
Software Has Become Cheap. Institutional Knowledge Has Not
Agentic coding has made software dramatically cheaper to build. As implementation costs collapse, institutional knowledge, not code, becomes the scarce resource that determines whether transformation succeeds.
The Feedback Loop Nobody Built
Healthcare AI governance focuses heavily on deployment and validation. Without someone responsible for learning from real-world performance, clinicians become the only feedback loop that reliably functions.