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

Saturday, 17 October 2026 · 3 min read · Listen to the episode ↗

Michael Saylor argues that AI could weaken businesses built on human talent and product success, shifting capital toward scarce assets such as Bitcoin, which he predicts could grow 30% annually and reach about $1 million in a decade from $80,000. Arthur Hayes outlines another potential catalyst: government money creation to support struggling AI companies could drive demand for Bitcoin. Near term, the host says it remains uncertain whether Bitcoin can hold $80,000 support.

Michael Saylor’s central argument is that AI could undermine businesses whose value rests on human labor, talent, or the ability to develop successful products. If machines make those advantages less dependable, he expects capital to favor scarce assets instead. He presents Bitcoin as “digital capital” that robots cannot manufacture, and predicts it will grow 30% annually and continue to outperform the S&P 500. That forecast is Saylor’s view, not a guarantee.

The arithmetic behind the $1 million Bitcoin scenario is substantial but straightforward: 30% annual growth would multiply Bitcoin’s price about 3.7 times in five years and 13.8 times in ten. From a starting price of $80,000, that rate implies roughly $1.1 million after a decade. The host also cites power-law and stock-to-flow models that point toward a price near $1 million by the end of the decade, with some projections reaching it sooner. The host mentions a possible $1.1 million price in 2029, while describing stock-to-flow’s projection through 2028 as a broader range of $500,000 to $1 million.

Arthur Hayes offers a different route to a higher Bitcoin price: a larger AI bubble could produce a larger bailout. Hayes argues that major Western AI companies are unprofitable but continue operating through debt and equity financing, alongside an implicit US government backstop. In his scenario, government money creation to support those companies would weaken confidence in currency and increase demand for Bitcoin as protection against debasement. The claim depends on both the companies requiring support and the government responding with money creation; it is not presented as a certain outcome.

The scarcity case is reinforced by the supply figures discussed in the episode. At $1 million per Bitcoin, the maximum supply of 21 million would imply a $21 trillion valuation. About 450 Bitcoin are currently mined each day, or 164,250 annually, and the daily issuance rate is expected to fall to 225 after the 2028 halving. Fewer than 1 million Bitcoin remain to be mined, with mining expected to continue until 2140. These figures describe a capped supply, but do not by themselves establish what price Bitcoin will reach.

The host describes Strategy as approaching 900,000 Bitcoin and says Saylor’s company began accumulating in August 2020; JV characterizes it as the largest corporate Bitcoin holder. The host compares that estimate with 800,000 Bitcoin held by BlackRock and about 1.1 million attributed to Satoshi, while estimating that 2–3 million Bitcoin may be permanently lost. The host also says long-term holders control more than 60% of supply. Taken together, these estimates frame the available market supply as potentially much smaller than the maximum, though the holdings and lost-coin figures are presented as estimates.

The near-term market picture remains uncertain despite the host’s view that Bitcoin is in a bull market. Bitcoin rose $15,000 in a week from below $60,000, but the host says it is not yet clear whether $80,000 will hold as support; a break could lead to a deeper correction or a retest of $75,000. US spot Bitcoin ETFs, launched January 11, 2024, have not had more than four consecutive months of outflows, although the host cautions that such a streak remains possible. ETF inflows resumed after institutions sold during the correction, but the episode does not treat that recovery as assurance that prices will keep rising.

This summary was generated from the episode transcript and can contain mistakes.