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2489: $1 Million Bitcoin EXPLOSION - Michael Saylor Predicts AI APOCALYPSE artwork

2489: $1 Million Bitcoin EXPLOSION - Michael Saylor Predicts AI APOCALYPSE

Bitcoin News Alerts | Daily BTC Macro Signal

October 17, 2026

Michael Saylor predicts an AI APOCALYPSE could trigger a $1 MILLION Bitcoin EXPLOSION! As artificial intelligence DEMONETIZES equities, Saylor forecasts a massive rotation into scarce capital, with Bitcoin appreciating 30% annually and outperforming the S&P 500.

Speakers Justin Verrengia, Michael Saylor, Arthur Hayes

TopicsInvestingBusiness

Justin Verrengia (0:00)

Bitcoin is about to deliver 30% gains year after year. Michael Saylor just made an absolutely insane prediction, and Arthur Hayes says the AI bubble will trigger massive government bailouts, sending Bitcoin parabolic. Two explosive predictions, $1 million Bitcoin, and we're breaking down the numbers. Let's get straight into it. Michael Saylor just declared war on Wall Street's AI bubble, and he believes Bitcoin will emerge as the biggest winner. We're talking about a $1 million Bitcoin price explosion, because while Wall Street pours trillions into artificial intelligence, AI could demonetize the very stocks investors are pouring their fortunes into. Here's where this gets fascinating. Wall Street is betting that AI will create the next generation of trillion-dollar companies. But what happens when AI becomes so powerful that it starts destroying the competitive advantages those companies depend upon? Software becomes easier to replicate, services become cheaper to deliver, entire business models face disruption, and the valuation investors once considered untouchable suddenly becomes vulnerable. Michael Saylor just delivered a warning Wall Street cannot afford to ignore. He says, AI is going to demonetize equities, and his prediction doesn't stop there. There will be a rotation into scarce capital. Think about the implications. As AI threatens the valuations of traditional businesses, trillions in capital will begin searching for something AI cannot replicate. And Saylor delivers the ultimate Bitcoin reality check. Robots cannot make more Bitcoin. 21 million Bitcoin forever. Unlike traditional equities, Bitcoin doesn't depend on corporate profits, quarterly earnings or competitive advantages. Its monetary policy remains unchanged regardless of technological disruption. And there's another catalyst Wall Street is not prepared for. Arthur Hayes just delivered an explosive prediction about the AI bubble. He says, the bigger AI grows, the bigger the bailout, the higher the Bitcoin goes. His argument, AI companies are burning enormous amounts of capital, and he believes the government will ultimately rescue them through massive money printing. More debt, more currency to basement, more capital, searching for an escape. And while the financial system keeps creating more money, Bitcoin keeps getting scarcer. Two potential outcomes from the AI revolution, a massive rotation out of traditional equities or another financial crisis that unleashes the money printer. But both point towards the same fundamental, Bitcoin thesis, scarcity wins. And here's where the $1 million Bitcoin thesis gets explosive. Saylor just put an extraordinary number on Bitcoin's growth. It's going up 30% a year, every year. He also predicts Bitcoin will continue to outperform the S&P.

Now consider the mathematics. At 30% compounded annually, Bitcoin would increase approximately 3.7x over five years and 13.8x over 10 years. Starting from 80,000, that would imply 297,000 in five years and 1.1 million in 10 years. That's not a guarantee. It's the mathematical implication of Saylor's prediction. And at a million dollars per coin, Bitcoin's maximum supply would represent a 21 trillion valuation. For perspective, global stock markets are worth more than 100 trillion. Bitcoin wouldn't need to replace the stock market. It would just need to capture a fraction of the wealth currently invested across traditional assets. And here's the supply shock Wall Street can't ignore. Only 450 new Bitcoin are mined daily. That's 164,250 Bitcoin annually. At 1 million per coin, that represents just 164 billion in annual new issuance. And after the 2028 halving, new issuance drops to 225 Bitcoin per day as the supply gets cut in half. Meanwhile, trillions in global capital will begin competing for an asset with an absolute supply ceiling. Wall Street is pouring trillions into technology designed to make everything more abundant. Bitcoin offers the exact opposite. We're talking absolute monetary scarcity. Wall Street is racing to build the most powerful AI on earth, but the greatest monetary asset of the digital age doesn't need AI to become more valuable. It needs the world to recognize what AI can never replicate. 21 million Bitcoin, no exceptions, no bailouts, no money printer. AI changes everything except Bitcoin.

Welcome, everyone, to Pod Episode 2489

I'm your host, JV. It's October 17th, 2026

Happy sat stacking Saturday. And if you think AI is about to create the biggest fortunes in history, Michael Saylor sees something much bigger, because why Wall Street is betting trillions on AI.

Saylor says AI is about to destroy the value of traditional equities, and there's one asset robots can never manufacture. Let's hear it straight from the Giga Chad, Michael Saylor himself.

Michael Saylor (5:07)

It's going to demonetize a lot of equities that are based upon labor and talent. And so there's a lot of risk in the AI trade, especially across equities, either equities that are attempting to create the next magic product and they might miss, or equities that are based upon tens of thousands of humans, and they're getting demonetized and degraded. On the other hand, there's going to be a rotation into scarce desirable capital, whether that's Palm Beach real estate, or gold, or digital gold in the form of Bitcoin, or some trophy asset. Capital investors are going to look for things that the robots can't make more of. And certainly the king of commodities right now is Bitcoin, because it's digital capital.

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