The Pattern Recognition Problem

Every generation gets a story too good to question. A flower that could buy a house. A railway that would never stop growing. A stock market that had supposedly entered a new era where the old rules no longer applied. Each time, something real sat underneath the story. And each time, the story eventually asked more of that real thing than it could deliver on schedule.

Artificial intelligence may be the most consequential version of this pattern in a lifetime. Trillions of dollars are being committed to data centers, chips, and infrastructure at a pace that outstrips almost every technology buildout in modern history. The companies involved are among the most profitable in the world. The product is already used by hundreds of millions of people every day. None of that is in question.

What is worth asking, calmly and without hysteria, is whether the size and speed of the financial bet now matches what the technology can prove, and on what timeline.

The Pattern Recognition Problem walks through four centuries of financial manias, from a Dutch flower market to a Japanese real estate collapse to the dot-com crash, and lays each one next to the AI buildout happening right now. Not to declare a verdict in advance, but to hand readers a framework built from history's clearest evidence: what a bubble's early warning signs actually look like, what makes some buildouts survive their own excess while others do not, and how the people involved, from famous scientists to ordinary retirees, made the decisions that determined whether they came out ahead or ruined.

This is not a prediction. No one who has studied financial history closely enough would offer one with real confidence. It is a way of thinking clearly about a moment that will shape portfolios, careers, and retirement plans for years to come, written for readers with no finance background and no patience for jargon.

Readers will come away with:

• A clear, non-technical understanding of how financial manias form, accelerate, and resolve, drawn from real historical cases across four hundred years
• A close, evidence-based look at how the AI buildout compares to, and differs from, previous technology bubbles
• A set of practical, non-prescriptive questions for assessing personal financial exposure to any concentrated bet, whatever the technology or era
• A grounded, honest account of what could plausibly happen next, across several distinct scenarios, without false certainty in any direction

Written in a story-driven, conversational style, The Pattern Recognition Problem treats readers as capable adults who deserve nuance rather than alarm or hype. It is a book for anyone with money in the market, a retirement account, or simple curiosity about whether history has anything useful to say about the biggest financial story of the decade.