Watching is not a job. It is the transitional state between two jobs, and it is the most dangerous place in the building, because it looks like supervision and it is not. I hired a team on Saturday. By Sunday it did not need me, and I was there anyway, pressing the green button.
People keep asking how I found time to write four books in a year while doing my day job. The answer is not a tool and not discipline. It is a layered setup where every piece of work is tagged, linked, and ready for the next one. The tools are rented. The brain underneath is the asset.
I had undiagnosed ADHD for most of my life. Lecture halls were the wrong delivery mechanism for me. So I went to the library, ran my own research, built my own curriculum. Six months ago, the constraint of scale disappeared. The library is still the right model. The library is just bigger now.
The senior engineer approved nineteen pull requests today. She read four of them. The supervision channel is collapsing in real time, and the validator is atrophying as the validated work grows. We have fifty years of HR experience supervising smarter reports. None of it has reached the agent.
Every model upgrade is a personnel change nobody approved. The persona prompt is the costume. The model is the actor. The actor wins when the stakes get high or the prompt gets thin. We have fifty years of personality assessment for human hires. We have not pointed any of it at the agents.
We run every new hire through recruiting, references, a probationary period, and a 90-day review. Then we deploy an AI agent into the same workflow and skip every gate. The technology question is settled. The HR question has not been asked.
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.