How to trick your brain into becoming a great investor

Why does it matter? Because half your investing behavior was set before you ever opened a brokerage app.

A 2014 Swedish study found that 45% of savings and investing behavior is genetic — and education barely moves the needle. Only getting burned rewires it. Sam and Shaan spiral outward from there: your portfolio mirrors your psyche, most people are playing the wrong career game entirely, and AI is about to flip the corporate org chart so completely that calling it "your assistant" will soon seem quaint.

• Your investing biases map directly to your worst personality traits — no purely financial problems exist, only psychology problems wearing a spreadsheet
• Reading finance books, normalized for education, produces zero measurable improvement in investing behavior; only pain does
• The analyst job that survives AI requires physical presence in places no model can follow
• Every tech wave's winners look completely unrecognizable to the people who rode the previous one

45% of your investing behavior is hardwired — and reading finance books won't change it

45% of savings and investing behavior is genetic. Reading business books won't fix it.

Swedish researcher Heinrich cross-referenced a massive twin database against Sweden's full portfolio records — every stock and savings account, tracked via wealth tax until 2007. He studied 30,000 twins across six classic biases: holding too few stocks, excess turnover, performance chasing, home bias, lottery-stock addiction, refusing to sell losers. Then normalized for education. Gave two MBAs identical information, let one read a stack of business books. Zero measurable difference. The only thing that moved the needle beyond genetics was working in finance — getting burned.

Sam's borrowed frame: "Personal finance is more personal than it is finance." Kahneman wrote the book on cognitive biases and admits he still suffers from every one of them. The map doesn't stop you from driving off the cliff.

Your portfolio is a personality diagnostic — and it's not wrong about you

Your investing biases are your personality flaws in a blazer.

Excess stock turnover? Sam: "perhaps you struggle having steady relationships." Home bias — only buying stocks in your home country? You've probably never left your hometown. The six biases from Heinrich's study map cleanly onto six human nature patterns.

The same logic extends to your company. "The business you're controlling is just an extension of your personality." Trust issues become micromanagement. Trouble committing becomes an absent founder. "The issues you have in the company are an extension of the issues you have."

Tactical fixes don't work on psychology problems. The recurring mistake in your portfolio — or in your org — isn't a strategic error. It's diagnostic. Fix the underlying trait and the behavior follows. Try to fix the behavior directly and you're patching symptoms forever.

Monish Pabrai hated his business because he was playing the wrong game

A successful business can still be the completely wrong game. The mismatch won't announce itself — it'll just feel like burnout.

Pabrai was running a $6 million company and miserable. A thorough 360 personality assessment — the kind that interviews your co-workers and parents — gave him a blunt verdict: "This game is completely incompatible for your personality type. You like solo player competitive number games."

He switched to investing. Crushed it. Same instinct, right game. He applied the same lens to philanthropy: $3,000 a year to send a smart rural Indian kid through a competitive math school and into IIT — harder to get into than Harvard — and 5x that family's earning power. Even charity became a solo-player numbers game.

Sam: "There are probably billions of people who never discovered what game they're actually great at — and kind of life passed them by."

Warren Buffett reads so much to stay too busy to blow up his portfolio

The reason great investors read obsessively might have nothing to do with the knowledge.

Shaan's reframe: the biggest leak in investing is hyperactivity. Books are a productive decoy. "It might not even matter what you're actually reading — just that it keeps you away from constant activity." Buffett holds nearly $400 billion in Treasury bills because there's nothing obvious to deploy it into. He doesn't move just to move.

Bezos learned early he had enough ideas per day to destroy Amazon. Jeff Wilke told him straight: you have to release work at the rate the organization can absorb. Shaan's parallel: "Often times when I meddle, it gets screwed up."

The goal in any compounding system isn't better decisions. It's fewer. Build friction between yourself and your portfolio — or your team — and protect it from your own instinct to tinker.

Shaan doesn't care what's true — only what's useful

The question isn't what's true. It's what's useful. Shaan heard the 45% genetic study and basically threw it out.

His framework: "What do I need to believe in order to do the things that will lead to a good result?" Productive placebos. "What's true? Who cares? What's useful is what matters."

Sam pushed back hard: if these are the facts, use the facts. The concrete split — Howard Marks came on the podcast in August and called the S&P a bad bet at current PE ratios. The market is up 12.5% since. Marks is making a 10-year case. Sam built his financial plan at 21 to compound at 8% annually for 40 years, and Howard Marks's warning doesn't break it. Doesn't need to engage.

Two coherent strategies in direct tension. Shaan's is rarer — and he'd argue, more functional.

You work for the AI — the AI doesn't work for you

The org chart is getting inverted. Most people picture AI as a smart assistant: delegate a task, get output, maybe spin up a few digital workers in the background. Shaan thinks the direction is the opposite.

"It's not that the AI works for us, but that we work for the AI." Jack Dorsey's version — after laying off tens of thousands at Block — is that AI becomes the company brain and humans are nodes feeding it context and executing what it decides. "The AI should make the decision. The AI is the thinker not us."

Shaan is already operating this way: not asking AI questions, but asking it what the right move is. The real question stops being how to use AI better. It becomes which decisions to stop making entirely — and what your role looks like when you're the node, not the hub.

The future analyst is bribing boat captains, not reading spreadsheets

The future analyst isn't at a desk. They're sneaking across the Oman border to bribe someone onto a boat.

That's what Catrini actually did. The research firm first went viral for predicting AI-driven white-collar job destruction: fewer workers, compressed wages, collapsed consumer spending, productivity gains flowing entirely to compute owners — a deflationary spiral triggered by the very scenario the bulls were cheering. Market selloff. Backlash from every direction.

Then they sent a researcher to the Strait of Hormuz. He collected first-party data no AI could reach: the Strait was functioning as a toll route, not open, not closed. Their response to critics: "You got mad at us for saying white collar jobs are going away. Then you got mad at us when we showed you the only types of jobs that are going to be left."

AI reads every earnings call on earth simultaneously. The analyst job that survives is physically going where no model can follow.

The next big wave always looks suspicious to the people riding the current one

The next Zuckerberg won't build a social network. Shaan's watched the pattern repeat three times.

Facebook/Dropbox/Twitter begat Airbnb/Uber — a totally different playbook requiring city-by-city bootstrapping and free donuts for drivers, nothing resembling software distribution. That wave begat crypto, which wasn't even a company: you bought the currency. That wave begat AI labs.

"How many people do you know that were investing in or starting a research lab? Zero. Zero. I never met anyone that did that." OpenAI launched as a nonprofit research entity. Nobody knew what that even meant. That was the thing to join, to start, to invest in — and it looked nothing like the winners before it.

Now defense tech, robotics, and hard tech carry the same social weirdness signal. High weirdness among your current peer group usually means the window just opened — not that the idea is bad.

The advantage goes to whoever gets into the right game before it's obvious

What this episode adds up to: winning the next decade doesn't require being the smartest or the hardest-working. It requires knowing what game you're actually wired for, staying out of your own way long enough for compounding to kick in, and recognizing the next wave before it stops looking weird to everyone around you.

Get in before it's obvious. That's the whole thing.

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Topics: investing, behavioral finance, genetics, AI, future of work, self-knowledge, career strategy, mental models, entrepreneurship, cognitive biases