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AI Made the Analysis Free. It Made the Judgment Scarce. "If AI killed consulting, why did the AI companies just hire the consultants? Because adoption was never a software problem — and the receipts go back to 1998."...

AI Made the Analysis Free. It Made the Judgment Scarce.

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The Canvas and the Camcorder: Why Technology Fails in Every Era Two photos of Mount St. Helens — one before the eruption, one after. Which one is wrong?...

The Canvas and the Camcorder: Why Technology Fails in Every Era

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"Your dashboard says every metric is fine. The case below is how a system quietly defeats itself while every number looks healthy."

AI Isn't Replacing Emotional Intelligence. It's Exposing What You Never Measured.

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"Smart people across disciplines rarely fail because they disagree. They fail because no one translated."

The Tower of Babel Problem: Why Smart People Keep Talking Past Each Other

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"A $50-billion industry has spent decades trying to kill the spreadsheet. It's still here — and that's not a failure of adoption. It's the physics showing through."

The Spreadsheet Test: Why the Inferior Tool Keeps Winning

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"The names of the technologies change. The variable that decides the outcome does not."

The Invariant Physics of the Hansen Models™

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"Different industries, different experts, opposite starting points — and the same conclusion. After nearly three decades of documented outcomes, the convergence itself is the signal."

The Convergence Is the Signal: What AI Is, What It Isn't, and What It Means

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One of the leading AI companies just acknowledged, on its own support page, that a single model can be confidently wrong — and told users not to rely on it as a single source of truth. That isn't a reason to trust AI less. It's the exact limitation I've been building around since 1998.

Claude Acknowledged the Flaw. The Architecture That Addresses It Has Been Running Since 1998.

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How HP proved technology is necessary and never sufficient.

Let's Stop Crediting Technology for Success, and Blaming Technology for Failure.

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"For Want of a Nail: Toyota's Fall and Climb to the 2026 Gartner Pyramid."

Gartner Drew the Other Half of the Chart. Toyota Stands in Both.

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"Understanding the ubiquitous dot on Gartner's Hype Cycle — a graphic unchanged since 1995 — and what it means for AI success in 2026."

A Single Dot Became an Entire Hype Cycle. The Architecture Underneath It Was Running in 1998.

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"A leading analyst just described the org structure of the AI era. I drew it in 1999 — before the cloud, before SaaS, before any of it existed. Here's the one condition his model still needs."

The Doer Model Is the Right Shape. Whether It Holds Depends on the Floor.

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"Braum's bounded itself to a 300-mile circle, and the market calls it caution. It's the most disciplined growth decision in American retail — and the same law that governed a cotton exchange in 1931."

The Radius Was Never the Limit. It Was the Condition.

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"I've had this conversation with CIOs for forty-three years. Last week I had it with an AI — and it made the same mistake."

I've Had This Conversation With CIOs for Decades. This Time, the CIO Was an AI.

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"Strip the branding off a dozen AI maturity models and the skeleton is identical. Here's the one layer none of them measures."

Everyone Found the Right Words. No One Reached the Floor.

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"We've governed suppliers, couriers, and employees for decades. Then an AI agent enters the room — and somehow all the questions vanish. That's the entire mistake."

What do suppliers, couriers, buyers, and AI* agents have in common?

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"'The AI said so' is not something you can defend to a board, a regulator, or an audit committee. This session is about what you say instead."

An Introduction to the Next Generation in AI: Stepping Into the Shadow for Good Governance