Practitioner commentary
on the work that matters.

AI didn't break your governance and risk management. It exposed them. The era of governing AI through voluntary, informal approaches has stopped holding, inside the enterprise as much as around the frontier labs.

The enterprises most likely to pull their AI agents back next year are not the ones that governed too little. They are the ones that governed every agent the same way. Gartner just put a date on it.

The leaders who naturally understand AI are not the most technical people in the room. They are the ones whose minds already work the way AI does. Part 1 of "What It Takes to Win the AI Era" series.

Social media shaped what we paid attention to. AI is shaping how we think. That is not a superficial influence layer; it is something closer to cognitive infrastructure, being rebuilt in real time without most of us noticing.

Six governments published one document on May 1, 2026. The headlines called it a security advisory. The deeper signal is that agentic AI has become a corporate governance problem, and almost no enterprise has the operating discipline to answer it.

Most boards are quietly debating whether to slow EU AI Act readiness. The Digital Omnibus deferral debate has given them an easy reason. The problem is that pause is a bet, and it is the wrong one.

Most enterprise AI investments will not survive the next eighteen months. The ones that do will share a single trait, and it is not technical. The harder question is how to make AI bets that compound instead of stranding capital.

OpenAI's new policy offers bold ideas for how society might adapt to AI, but exposes a deeper challenge: we still lack a realistic path for how organizations will navigate the transition.