The Insight Collective
The podcast brings the Collective’s three perspectives into direct conversation. Episodes examine how AI changes organizations, work, expertise, power, risk, and performance.
Empire Building in the Age of AI
Tom Rieger and Brad Kaufman on what AI does to an organization that already has silos: it does not fix the dysfunction, it makes it faster. Decision rights, source-of-truth data, and the unwritten rules nobody remembers making.
Jason Greer and Tom Rieger
Jason Greer and Tom Rieger on why AI systems, trained entirely on past data, are always looking in the rear view mirror — and why successful AI integration turns out to be an organizational and human problem more than a technical one.
AI inherits the incentives, structural divisions, information barriers, ownership conflicts, and operating weaknesses of the organization deploying it. Faster technology can accelerate those weaknesses rather than resolve them.
Adoption is not a communications problem or a prompt-training problem. People interpret AI through their experience of the work, their trust in leadership, the consequences of errors, and their ability to challenge decisions.
Models are only one part of the implementation. Data, integration, workflow design, controls, exceptions, observability, and operating support determine whether an AI capability can produce dependable results.
Every conversation is published as a page, with chapter markers, the references raised in it, and a full transcript.
