Notes on leadership, people management, executive judgment, and the habits that hold under pressure.
11 posts
A frontier model can move from launch to unavailable in a week. Boards need more than AI education. They need a disciplined way to recognize when a changing capability invalidates the story guiding products, promises, and investment.
AI-assisted publishing does not need a perfect detector first. It needs a better byline: a concise, layered signal that explains what AI did, what human judgment remained, and who stands behind the finished work.
I keep coming back to a leadership failure mode in AI content governance: teams walk in asking, “Is this AI?” and end up building a better detector and a worse product. The cleaner decision rule is simpler: reward additive intent, demand semantic clarity, and let community judgment downrank what fa…
A one-person agent workflow breaks the moment it leaves the builder’s laptop. The frontier right now is not smarter prompts. It is portable context: reusable, versionable “Skills” that turn team judgment into delegation-ready infrastructure. Control that layer, and you gain institutional leverage.
Usage charts can look healthy when agents do the work. But renewal risk quietly rises when agents replace the human champion who translated the product into business value. The durable counter is evidence your product emits by default, as renewal-grade artifacts.
Some teams turned weekly token burn into a leaderboard or a performance proxy. Frontier coding agents make generation cheap, so the dashboard starts lying. My read is that tokenmaxxing breaks reality because it mistakes output proxy for decision reality. The fix is not “more instrumentation.” It is…
When frontier models land inside the same AWS procurement and production plumbing enterprises already run, the adoption story becomes a leadership story. The danger is not hallucination. It is the moment a confident AI-generated rationale feels right and a leader stops looking for reasons to be wro…
Waymo just treated retired robotaxi batteries like booked capacity for the grid. Not a sustainability story. A procurement-grade reliability layer with delivery timelines. This changes how power gets marketed, underwritten, and planned for AI-adjacent compute.
Two launches, one pattern: marketing platforms are starting to sell the governed workflow loop that keeps approvals, frequency rules, provenance, and measurement invariant while AI frontends change. That is how integration debt becomes a product category.
GM laid off over 10% of its IT department while hiring for AI-native development, data engineering, and agent workflow roles. The real signal is workforce bifurcation: AI advantage compounds only when leaders redesign decision rights, evaluation artifacts, and accountability close to the work.
Cisco’s $5.3B AI backlog alongside thousands of layoffs is not a proof that AI “replaces jobs.” It is a proof that organizations are accumulating integration debt: the gap between buying AI speed and redesigning work. The operator move is a job-family selector audit plus evidence gates before scali…