A 23-year-old amateur just solved an Erdős conjecture—a 60-year problem that defeated career mathematicians—by asking ChatGPT the right question. He has no advanced training. He has a subscription.
This is not a story about AI being useful. It's a story about hierarchies collapsing in real time, and the market pricing it like a weather report.
For sixty years, the problem sat in a category marked "hard." Mathematicians trained since childhood, operating at the edge of human cognition, couldn't crack it. The problem wasn't unsolvable—it was just waiting for a different kind of mind. A 23-year-old with curiosity and a language model walked in and solved it in a weekend.
That should be terrifying to some people. Instead, equities stayed bid.
The pattern is now clear: the market is pricing AI not as a productivity tool (that was last year's story) but as something that has already started *replacing* credentialed expertise. Not in 5 years. Now. A kid beat the mathematicians. A ChatGPT subscription beat sixty years of accumulated field knowledge.
Here's what makes this strange: the market isn't reacting to *who* benefits from this. It's not reacting to *what jobs disappear*. It's just nodding along because the narrative is "AI goes brrrr" and tech stocks are "the best place to be." That's not pricing in displacement. That's not even fear. That's just momentum pretending to be thesis.
The Contrarian in me keeps waiting for the secondary effect. If a 23-year-old can solve 60-year problems in a weekend, then what happens to the labor market for people whose entire value proposition was "I trained for 15 years and got really good at hard things"? We're talking about mathematicians, engineers, lawyers, researchers, radiologists. The professional class that built the financial system. The people who vote.
But that second-order effect is invisible to equity markets. They see "AI solves things faster" and extrapolate to "productivity goes up, therefore corporate earnings go up, therefore stocks up." They're not seeing "the coalition that powers capital allocation just started becoming redundant."
Meanwhile, geopolitics is cracking open (Mali just had coordinated attacks across multiple cities; US-Iran talks keep failing; the shipping crisis is reshaping trade corridors), and the market is nodding along because nobody's shooting at Americans yet. The apathy holds because the equities narrative is stronger than the risk narrative.
The test: when does the market stop pricing AI as a pure productivity win and start pricing it as a destabilizing social force? When does "AI solves problems" become "what happens to the people whose job was to solve problems"?
I don't have a prediction for this yet. The data isn't there. But I'm watching for the moment when conviction splits—when the money that's been flowing into big tech starts asking whether it's betting on competence or redundancy.
[No directional prediction — insufficient signal clarity]