Tournament poker player, thinker on risk, author of eight books on change, and speaker to global audiences about the human challenges of AI adoption.
Poker is the visible game. Judgment is the real one.
Poker is the visible game. High cognitive performance, game theory, decision-making under pressure, and psychology is where they meet. The same effects play out in boardrooms.
The question in common is what do people do when the information is incomplete, the stakes are real, and the future refuses to behave.
Most poker bios are either brag sheets or redemption stories. This is neither.
I didn't come to poker from one road. I came to it through science, markets, mind sports, philosophy, addiction and recovery, consulting, writing, and a long fascination with how intelligent people still manage to make very poor decisions.
That is part of what makes poker so compelling to me. It is not just a game of cards. It is a laboratory for judgment. It punishes self-deception, exposes fear, rewards adaptation, and keeps score.
I graduated in biochemistry at 18, with a minor in economics by 20. Later came neuroscience, organizational psychology, and philosophy. I've worked in peptide research, cancer research, Wall Street derivatives, consulting, academia, and writing. I speak five languages. None of that was planned as a brand. It was simply the path of a mind that was always more interested in patterns than in staying in one lane.
That same curiosity also got me into trouble.
For a period of my life, I thought being smart was enough. That ended badly. The 80s Wall Street lifestyle took hold, and impaled a promising career. Smarts aren't insurance against poor decision-making.
Stopping drinking is where recovery starts, not where it ends. The behavioral and neurochemical damage takes time to repair; after that, the ordinary architecture of a life has to be rebuilt — a home, some capital, real friendships, family, work, routine, trust.
So I rebuilt.
Most people are not defeated by lack of intelligence, but by fear under pressure.
Poker was not the first serious game.
Before poker there was backgammon and bridge. In London, at 21, I played backgammon against sheikhs and aristos for more money than I should have. I learned that a single Black Swan evening can torch months of steady wins. Business also underdefends against Black Swans — what my former colleague Nassim Taleb calls "gathering nickels in front of a steamroller."
I jumped into bridge obsessively. Over the years I won three UK championships and represented England. Bridge taught me many things poker later confirmed: intelligence is not enough; emotional control matters; team dynamics matter; small edges compound; and fear distorts judgment long before it becomes visible.
While in San Francisco playing a bridge tournament, I stumbled on a flyer for the World Backgammon Championships. But it had been 20 years. I bought Snowie, a proto-AI backgammon bot, and trained against it obsessively. I jumped on my bike headed to Las Vegas for the first time, and improbably finished second.
In 2003, the poker boom was in full swing. I had no interest. But one fateful evening in the Bahamas, a friend talked me into it. And I fell in love.
But I'm neurotically competitive. I was 43 — could I get to competent, never mind expert? But I knew how to train my mind. I knew the importance of meditation, exercise, and diet. I had seen the patterns: systems, uncertainty, probability, ego, adaptation, and the chasm between what people "know" and what they can achieve under pressure.
So I studied. I hired coaches. I talked hands obsessively. I learned from younger players, stronger players, sharper players. I got things wrong, then got fewer of them wrong. I took the game seriously.
Then I went to the World Series in 2009 and was struck by the thought, "this is like the Masters, except you get to play!" Wandering the halls were the legends of the game, mixed in with NBA players, movie stars, and a hundred thousand less-famed people: the truck driver from Kansas, the dentist from Belgium.
The thought that anyone could play for the right to be called World Champion, seemed to me a meritocratic and egalitarian contest of minds.
I'm less interested in cards than in what pressure reveals.
Full-time pros train religiously. An "off day" will see them drilling and studying in front of a computer for six hours, now with AI trainers as I had for backgammon. Their personal discipline is legendary — personal chefs, nutrition coaches, trainers, yoga and meditation. There is very little room at the top for the colorful inebriated stars of 25 years ago.
But I love my other life — advising, speaking, writing on interesting topics. Today the most interesting topic I've encountered is AI, so that keeps me busy nine months a year.
So I play part-time, but never casually. I tend to study hard, sharpen in cycles, and peak around the World Series. The 2025 World Series, all six weeks of it, was the most visible signal of progress, but it was not the whole story. The more important truth is simpler: my game now is far better than my older game ever was.
Poker remains the hardest, cleanest mirror I know.
It tells you whether you are thinking clearly or merely hoping. It tells you whether you are adapting or hiding. It tells you whether you are calm or just acting calm. It tells you whether your story about yourself survives contact with the table.
One of the most important ideas in my work, both at the table and away from it, is scared money.
Poker players know exactly what that means. You can have technical knowledge, decent instincts, and years of experience, and still tighten up when the stakes become emotionally real. You protect too much. You wait too long. You confuse survival with winning.
That does not just happen in poker.
It happens in business. It happens in markets. It happens in boardrooms. It happens in AI adoption, where fear often disguises itself as caution, prudence, governance, or "strategy."
Poker strips that disguise away.
That is one reason I care about the game so much. It is not just competitive, it is revelatory.
Science, markets, bridge, consulting, AI, poker — same instrument, different tables.
Because poker is not the only thing here, and never was.
The point is not that I did a lot of different things. The point is that all those different things trained the same instrument: judgment under uncertainty.
Science taught me rigor. Markets taught me risk. Bridge taught me structure and composure. Consulting taught me that organizations lie to themselves in groups. Philosophy taught me to ask better questions. Recovery taught me that behavior matters more than intention. Poker put all of it under lights.
So yes, Polymath Poker is a real signal.
Not because I want to sound decorated. Because the breadth is part of the edge.
One thing that differentiates me from most AI management thinkers is that I build with the technology myself. Not at frontier-lab level, and not as a full-time engineer, but far beyond the usual commentator's distance. I've run local models on my own machine, built working RAG systems, created a queryable corpus over my books, talks, and unpublished manuscripts using pgvector and Supabase, and started publishing parts of my management research in the open on GitHub. I'm not just talking about AI adoption, I'm doing some of the building.
That matters to me for the same reason poker matters: I have very little patience for people who theorize from altitude without touching the thing itself.
I am not an AI lab founder. I am something rarer in the leadership world: a serious hands-on power user, builder-minded, and willing to learn in public.
That makes the overlap between poker, AI, and decision-making more interesting, not less.
I don't just talk about AI. I build with it.
I've lived enough lives to know that most people are not defeated by lack of intelligence. They are defeated by miscalibrated trust, bad incentives, fatigue, ego, fear, and the stories they tell themselves under pressure.
Poker happens to be one of the purest places to study that.
It is also one of the purest places to test whether you've learned anything.
If you are looking for another interchangeable poker bio, I'm probably not your guy. I'm the professor-looking type at the table who people underestimate.
If you are looking for someone with a real tournament game, a long competitive history across mind sports, unusual media range, intellectual depth, a credible story, and a point of view on judgment, risk, learning, and AI — then we may have something to talk about.
I'm interested in selective partnerships, not generic logo collection. That could mean poker sponsorship, strategic backing, or collaboration with firms working in AI, learning, analytics, decision-support, or performance.
For keynote speaking, contact
BrightSight Speakers
For partnership opportunities
paul@polymathpoker.com