Thrive's data shows the number of companies reaching $100B+ valuation grew faster last decade than those reaching $10B. This suggests it's a higher-probability bet to identify future mega-winners from an established pool of large companies than to pick breakout unicorns from a much larger, riskier field of thousands.

Contrary to the belief that number two players can be viable, most tech markets are winner-take-all. The market leader captures the vast majority of economic value, making investments in second or third-place companies extremely risky.

Today's market is more fragile than during the dot-com bubble because value is even more concentrated in a few tech giants. Ten companies now represent 40% of the S&P 500. This hyper-concentration means the failure of a single company or trend (like AI) doesn't just impact a sector; it threatens the entire global economy, removing all robustness from the system.

The asymmetrical nature of stock returns, driven by power laws, means a handful of massive winners can more than compensate for numerous losers, even if half your investments fail. This is due to convex compounding, where upside is unlimited but downside is capped at 100%.

Aggregate venture capital investment figures are misleading. The market is becoming bimodal: a handful of elite AI companies absorb a disproportionate share of capital, while the vast majority of other startups, including 900+ unicorns, face a tougher fundraising and exit environment.

VC outcomes aren't a bell curve; a tiny fraction of investments deliver exponential returns covering all losses. This 'power law' dynamic means VCs must hunt for massive outliers, not just 'good' companies. Thiel only invests in startups with the potential to return his whole fund.

Even for the world's greatest investor, success is a game of outliers. Buffett made the vast majority of his returns on just 10 of 500 stocks. If you remove the top five deals from Berkshire's history, its returns fall to merely average, highlighting the power law effect in investing.

The current market is unique in that a handful of private AI companies like OpenAI have an outsized, direct impact on the valuations of many public companies. This makes it essential for public market investors to deeply understand private market developments to make informed decisions.

The firm targets markets structured like the famous movie scene: first place wins big, second gets little, and third fails. They believe most tech markets, even B2B SaaS without network effects, concentrate value in the #1 player, making leadership essential for outsized returns.