Michael Saylor’s Strategy has purchased roughly $1.57 billion worth of Bitcoin, doubling down on its long-standing bet on the crypto even as prices remain far below recent highs.
The move comes as Saylor entered a debate online over how artificial intelligence could reshape global capital markets — with the bullish founder claiming that capital will rotate into Bitcoin “with no disruption risk.”
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On X, venture capitalist and former Facebook executive Chamath Palihapitiya argued that AI could compress the duration of corporate cash flows by accelerating disruption cycles, making it difficult to project earnings beyond a few years.
In such a scenario, equity valuations could shift away from long-term discounted cash flows toward short-term earnings, potentially driving sharp repricing across markets.

Responding to that thesis, Saylor said capital would likely rotate toward assets perceived as resistant to technological disruption.
“If AI compresses terminal value and makes every moat temporary, capital will rotate to assets with no disruption risk,” Saylor said, describing Bitcoin as “digital capital — scarce, neutral, and impervious to AI disruption.”
Palihapitiya pushed back, arguing that for Bitcoin to function as a reliable store of value in such a world, it would need to be fully resistant to potential future threats such as quantum computing.

Saylor countered that such risks would not be unique to Bitcoin.
“If quantum breaks cryptography, it breaks AI, cloud infrastructure, banks, and the internet—not just Bitcoin,” he said, adding that “the entire stack upgrades together.”
Palihapitiya’s broader argument centers on the idea that AI could erode durable competitive advantages — such as brands, network effects, and scale — that have historically underpinned corporate valuations.
He suggested that if companies face a meaningful probability of disruption each year, their effective economic lifespan could shrink to just a few years.
That would reduce valuation multiples significantly and undermine the logic of growth investing, venture capital, and long-duration bets.
In that scenario, capital could rotate toward assets with more predictable or physically anchored cash flows, such as infrastructure, commodities, and short-duration government debt, while long-term equity investing becomes less viable.
He also warned that if private markets become unwilling to fund long-duration projects, governments and sovereign investors could play a larger role in allocating capital.
“The rotation away from equities would reshape everything from pension fund asset-liability matching to the basic 60/40 portfolio, which quietly stops making sense,” he wrote.
Saylor’s latest purchase, acquiring 22,337 BTC for $1.57 billion at $70,194 per Bitcoin, underscoring his continued conviction in Bitcoin as a long-term store of value, even amid market volatility and ongoing skepticism.
Strategy has acquired 22,337 BTC for ~$1.57 billion at ~$70,194 per bitcoin. As of 3/15/2026, we hodl 761,068 $BTC acquired for ~$57.61 billion at ~$75,696 per bitcoin. $MSTR $STRC https://t.co/6hv6PjzOKQ
— Michael Saylor (@saylor) March 16, 2026
The company’s average purchase price of roughly $75,696 per Bitcoin suggests it remains under water on portions of its holdings following recent price declines.
At the time of reporting, Saylor noted that Strategy holds 761,068 BTC, acquired for a total $57.61 billion.
Longtime Bitcoin critic Peter Schiff responded to the latest acquisition by warning of mounting losses.

“If you can keep this pace up for another year you will waste another $80 billion buying Bitcoin and make all the whales who sold you theirs much richer,” Schiff said.
Despite such criticism, Strategy has continued to accumulate Bitcoin aggressively, positioning the crypto as a central pillar of its corporate treasury strategy.
The broader discussion comes as a separate debate has emerged over whether AI is beginning to crowd out Bitcoin in physical infrastructure.
“AI has killed Bitcoin,” crypto commentator Ran Neuner said in a recent YouTube video.
Neuner argued that AI is overtaking Bitcoin as the dominant frontier technology, attracting a disproportionate share of venture capital and media focus.
He cited estimates suggesting AI startups raised around $202 billion in 2025, compared with roughly $30 billion for crypto.
Bitcoin mining and AI data centers both require large amounts of power — but AI operators may be able to generate significantly higher revenue per megawatt, Neuner said.
However, analysts and investors pushed back against the dramatic statement, saying the argument misunderstands Bitcoin’s design.
Because mining difficulty adjusts automatically, they argue that if miners exit, remaining participants become more profitable, stabilizing the system over time.
Investor Fred Kruger dismissed the thesis, stating:
“If AI outbids miners for electricity, miners just turn off until the difficulty adjusts and it’s profitable again.”
Adding: “That’s literally how Bitcoin works.”
Kurt Robson is a London-based reporter at CCN, specialising in the fast-moving worlds of crypto and emerging technology. He began his career covering local news in Cornwall after graduating from Falmouth University with First Class Honours in Journalism. There, he cut his teeth on everything from council meetings to missing swans.
He quickly rose through the ranks to become a frontline journalist at several of the UK’s leading national newspapers. Over the years, he has interviewed musicians and celebrities, reported from courtrooms and crime scenes, and secured multiple front-page exclusives.
Following the upheaval of the COVID-19 pandemic, Kurt shifted his focus to technology journalism—just ahead of the AI boom. With a natural curiosity and a trained eye for emerging trends, he has found a new rhythm in reporting on innovation.
At CCN, Kurt's work focuses on the cutting edge of crypto, blockchain, AI, and the evolving digital world. Drawing on his background in people-first reporting and his deep interest in disruptive tech, Kurt delivers stories that are insightful, entertaining, and human-centric.
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