LATEST POSTS
After broken comes free: what opens up when a leader faces themselves The moment a leader stops hiding and faces who they really are, the breakdown turns into freedom. They keep the money, the titles and the life they built, but they lose the guilt and the performance, and they get to lead as […]
The distraction machine: why most leaders wait for the event that breaks them open Yes, a leader can choose to face this before a crisis forces it. Almost none do. The reason is not that the awareness is missing; it is usually already there, humming under the surface. The reason is that most leaders […]
Leading the rest of the workforce through AI matters more than managing the handful of stars, because the 99 percent who will never be the chosen few are the cornerstone of the company. They are the people who drive in the screws, fix what breaks, stay up all night, and deliver. While a leader […]
Leading an AI project is not something you delegate to a likable person and then admire from a distance. The most common failure I see is exactly that: a proud leader hands the work to someone who presents well, announces it as a win, and steps back into the past while the company’s whole […]
Before building an AI strategy, most companies skip the one thing that makes it work: an honest, painful reckoning with what the company actually is. They reach for a tool, a trendy hire, or an off-site full of action points, and they wonder later why nothing moved. The reason is simple. You cannot build […]
Finding future leaders for AI starts with a hard truth: more than ninety percent of your company’s future leaders are not your current leaders, and you do not find them by recruiting. You find them by building a structure safe enough that they identify themselves. The question current leaders have to answer The current leaders […]
The phases of an AI project are three, and six months in, the result a leader should point to is not a dashboard or a finished rollout. It is people. Every person in the company should have been part of it, and each should have a story about what the work uncovered in themselves. If […]
The right person to lead your AI initiative is the living embodiment of AI, and you judge them on three things: culture, technology, and leadership. Not on energy, not on buzzwords, not on how well they present. You find this person with one question, and then you listen to how they answer it. The question […]
Workslop, the AI output that looks finished but is hollow and leaves colleagues losing hours cleaning it up, is not an AI problem. It is an accountability problem wearing AI’s clothes. The rules of work never changed: a leader is responsible for what their people deliver, and the way out is leadership, not better […]
Once a leader has done the hard, honest work on themselves and the company, the P&L turns into simple arithmetic. The value leaks long before that, in companies that point AI at their old data and ask it the same comfortable questions that produced the losses in the first place. Change the questions and […]