The Quiet Erosion
AI raises your confidence whether it's right or wrong. Two preprints from MIT and Wharton show it also degrades the skill you need to catch it when it fails. Aviation solved this problem decades ago. Medicine and software haven't.
AI raises your confidence whether it's right or wrong. Two preprints from MIT and Wharton show it also degrades the skill you need to catch it when it fails. Aviation solved this problem decades ago. Medicine and software haven't.
The people most affected by your AI product are almost never in the room when you build it. They don't appear in your analytics. They weren't in the meeting when the roadmap was approved. They will never give you feedback. You owe them something anyway
AI compresses knowledge. It does not compress experience. The junior PM in your next interview has access to the same tools you do. What separates you now is judgment. There is no course for that. There never was.
Healthcare AI job postings keep asking for unicorns: 14 years of experience in a field that is three years old, deep AI expertise, deep clinical expertise, deep product expertise. That person does not exist. And even if they did, they would not fix the real problem.
I’m seeing a flood of self-proclaimed “AI experts” with little real depth. After decades building enterprise systems, I still hesitate to claim the title. In healthcare AI, experience matters more than hype. Projects fail from old debts and governance gaps, not lack of buzzwords.