AI

AI budgets are under the microscope. Caps are blunt. The fix is knowing what each dollar bought.

AI agents deserve the same discipline as any new hire: a job description, limited access, a person at the irreversible steps, and a named owner.

Tracking AI usage is fine. Rewarding it is a mistake. What to measure instead.

The calendar is the real strategy. Fix the weekly rhythm before you rewrite the plan.

A former AI safety researcher says AI could kill us all. I take the risk seriously, then explain why the doom framing is the wrong way to lead.

Only about 14 percent of CFOs report measurable AI ROI. The tools made first drafts free. The verification work they created never got assigned to anyone.

Everyone is chasing the new thing while service businesses quietly compound. Why unglamorous companies hold up, and where AI actually belongs in one.

AI is flattening org charts, and a lot of the coordination work being cut genuinely should go. But the middle was also the training ground. If you delete the rung, you do not delete the need for the skill.

AI is an amplifier, and amplifiers are honest. Most stalled AI programs fail on ownership, not technology. Why access is not adoption, why every workflow needs one name on it, and the sequence I use before automating anything.

McKinsey found 88% of companies use AI, but only 39% see real impact. Here's what actually separates AI that works from AI that just looks good on a slide.

Most companies think they have an AI strategy because the CEO said AI is a priority. That is not a strategy. Here is what real AI ownership looks like and why it matters who is sitting in the seat.

When everyone has access to AI, creativity, relationships, and consistent execution matter more. Here is where I believe the real advantage comes from.