In this episode of Algo Ego, I go solo for a long-overdue lecture on a thesis I've been building over the past several months: Exact Purchasing. The argument, simply, is that Peter Kralik's 1983 HBR matrix has run procurement for forty years, but it was never the right answer. It was the most procurement could afford to do with the labor it had. AI changes that. I walk through the four quadrants of Exact Purchasing (market risk, cost architecture, transaction capture, relationship governance), then turn the lens on the legacy procurement SaaS stack and call code red on suites built around a compromise we forgot was a compromise. I dig into the balance sheets and AI strategies of Coupa, Jaggaer, SAP Ariba, and Ivalua. No holds barred, no economic interest, no apologies. Dor Israeli joins mid-episode for a check on how AI employees change the data picture entirely. No champagne. No cava either.

In this episode of Algo Ego, Jason and Lisa take on leadership in the age of AI: not the abstract, Harvard-weekend version, but the real questions facing anyone who manages people, builds teams, or raises kids in a world where unlimited processing power is sitting right next to you. They debate whether AI kills leadership or demands more of it, why the liberal arts may be more relevant now than ever, what happens when entry-level classes shrink and the school of hard knocks loses its enrollment, and whether AI board members are as far-fetched as they sound. Lisa pushes back on ageism, champions the builder mentality, and draws on their family’s experience with military leadership training.

Then Jason is joined by Dor Israeli, CTO of Gain, who describes what it’s actually like to lead a software team when one developer can ship 13 features in a day, and why decision fatigue, not code quality, is the new bottleneck. They explore the widening gap between senior and junior developers, why AI slop is already becoming a thing of the past, and how bringing along the average developer may be the hardest leadership challenge of all.

Everybody’s talking about AI layoffs. But the real question at our dinner table isn’t who’s losing jobs, it’s what all of this means for our kids.

In this episode, I bring the conversation out of our house and onto the mic with the person who knows my blind spots better than anyone: my wife, business partner, and co-conspirator, Lisa Reisman. Together, we wrestle with some uncomfortable questions: Is traditional education still fit for purpose in an AI-driven world? Is college becoming a necessity, a luxury, or a liability? And how should parents actually think about preparing kids for a future that looks nothing like the one we grew up expecting?

We talk about AI's role in the classroom, inversion thinking, career paths that won’t be easily automated, the risks of underemployment, and why helping kids find direction earlier matters more than ever. This isn’t a manifesto or a parenting playbook. It’s an honest, sometimes messy conversation about uncertainty, responsibility, and how to give our kids a real shot at fulfillment in the age of AI.