Michael Saylor says Bitcoin could emerge as one of the biggest winners if artificial intelligence compresses corporate “terminal value” and forces markets to stop paying up for long-dated growth. His argument came in response to Chamath Palihapitiya’s latest thought experiment, which framed AI not simply as a productivity engine, but as a force that could undermine the basic assumptions behind modern equity valuation.
“The entire architecture of modern capital markets rests on a single, rarely examined assumption: that competitive advantages compound over time. Moats persist. Brands endure. Network effects defend,” Palihapitiya wrote. “Strip that assumption away, and you aren’t just repricing some stocks, you would be dismantling the philosophical foundation of how capital has been allocated for a century.”
He then pushed that logic through a valuation framework built around disruption risk. Using a US 10-year yield of roughly 4.5% as a starting point and an equity risk premium of 4% to 5%, Palihapitiya argued that a stable, durable business might justify a 10x to 12x free cash flow multiple. But once AI-driven obsolescence becomes a serious annual risk, those multiples fall fast. At a 20% annual disruption probability, he estimated fair value at about 3.9x FCF. At 30%, it drops to 2.8x. Even 10% only gets to roughly 6.5x.
That matters because, in his telling, markets have done this before. He pointed to newspapers after digital advertising, retailers facing Amazon, oil majors during the energy transition, and even New York taxi medallions after Uber. In each case, the market was not denying the existence of current cash flows. It was repricing how long those cash flows could realistically last.
Palihapitiya extended that argument to the broader market. With the S&P 500 valued at around $58 trillion and corporate free cash flow near $2.8 trillion annually, he argued that repricing the index at 5x FCF would imply a market value of about $14 trillion, or a 75% drawdown. Even a less severe compression would radically change how capital gets allocated.
Bitcoin Could Surge as AI Destroys Traditional MoatsPalihapitiya was unconvinced. “No. A store of value has to be 100% hacking resistant. It’s an existential feature,” he wrote. “For other industries it will be important but less binary/existential.”
Helius Labs CEO Mert Mumtaz made a similar distinction from another angle: “Those systems can detect, mitigate, and fix against a quantum threat infinitely faster than bitcoin in a non-messy way. That is the cost of decentralization. An EC2 machine getting hacked (won’t happen anyway) is nowhere near the severity of your entire financial getting drained.”
At press time, Bitcoin traded at $74,140.
