2026.21: AI Gets You in the Game. Practices Keep You at the Table.
The buy-in is cheap. Staying in the game is not.
2026.20: Same Rodeo, Different Bronco.
The board wants the press release. The bronco doesn't care.
2026.19: Nobody Started With the Person.
AI doesn't fail in the field. It fails in the boardroom.
2026.18: Your team already priced in the loss.
They are not waiting for the leadership offsite to debate AI strategy.
2026.17: Let the Machine Lift. You Lead.
AI compresses time. It does not compress responsibility.
2026.16: The NFP Sector Is Using AI. Nobody Is Running It.
The NFP Sector Is Using AI. Nobody Is Running It.
2026.15: Myth 5 - Executives Are Hungry for AI Transformation
What leaders say vs. what they actually do.
2026.14: Myth 4 - 93% of Your Executives Use Unapproved AI Tools. They Just Haven't Told You.
Half Your Workforce Is Already Using AI Without Permission. And Your Executives Are Leading the Charge.
2026.13: Myth 3 - Profitable Companies Are Best Positioned for AI
The profitable companies have the resources. Most aren't using them. And both the talent market and the investment market are starting to keep score.
2026.12: Myth 2 - AI Is the Technology That Changes Everything.
Klarna Replaced 700 Workers With AI. Then Begged for Humans Back.
2026.11: Myth 1 - Every Company Needs an AI Strategy
Microsoft Spent $37.5 Billion on AI. Only 3.3% of Users Are Paying for It.
2026.10: You Lost the Plot: Feature Stuffing Is Not a Product Strategy
The gap between what buyers need and what builders ship is getting wider, not narrower. And both sides are paying for it.
2026.09: Why AI Is Making You More Productive and More Exhausted at the Same Time
The Cost of Never Stopping
2026.08: AI stopped being a tool you talk to, it started delivering finished work!
Three different companies, three different bets on the same idea: AI that does the work, not just talks about it.
2026.07: Three tools that own tasks end-to-end (and what that means for your team)
AI just moved from "helpful assistant" to "semi-autonomous coworker."
2026.06: New AI tools won't help if your people aren't ready
The problem is the gap between what leaders want to achieve and what their people can realistically support.
2026.05: AI Infrastructure Beats Model-Chasing
Real work with AI isn't in the shiny capabilities. It's in the boring foundations that let you deploy them safely and systematically