Michael Saylor’s adoption of Bitcoin for MicroStrategy's treasury wasn't just about inflation; it was a strategic pivot because AI and big tech were rendering his business model obsolete. Bitcoin, as a scarce asset, becomes an attractive safe haven for companies facing inevitable creative destruction from AI.

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Smaller public companies holding Bitcoin have failed to replicate MicroStrategy's success. Their model depends on Bitcoin's price rising consistently to allow for more debt issuance and acquisitions. The recent sideways market has broken this flywheel, collapsing their valuations into 'Bitcoin penny stocks.'

Publicly traded companies holding digital assets like Ethereum (FGNX) or Bitcoin (MicroStrategy) serve a specific purpose: they offer a bridge for hedge funds, asset managers, and family offices whose mandates prohibit direct crypto ownership but permit holding equities.

A proposed mental model frames MicroStrategy's issuance of preferred stock as analogous to Tether issuing stablecoins. Instead of using treasuries, MSTR uses heavily over-collateralized Bitcoin (e.g., 5-to-1 ratio) to create a yield-bearing, dollar-denominated instrument, effectively securitizing its Bitcoin holdings to generate returns for equity holders.

As AI agents become sophisticated, they'll need to pay for services. Traditional banking is too slow and fragmented for them. Crypto, as the internet's native money, provides the instant, global, low-fee rails for AI agents to transact with each other and with web services, creating a major new use case.

Major tech companies view the AI race as a life-or-death struggle. This 'existential crisis' mindset explains their willingness to spend astronomical sums on infrastructure, prioritizing survival over short-term profitability. Their spending is a defensive moat-building exercise, not just a rational pursuit of new revenue.

The long-held belief that a complex codebase provides a durable competitive advantage is becoming obsolete due to AI. As software becomes easier to replicate, defensibility shifts away from the technology itself and back toward classic business moats like network effects, brand reputation, and deep industry integration.

Bitcoin miners have inadvertently become a key part of the AI infrastructure boom. Their most valuable asset is not their hardware but their pre-existing, large-scale energy contracts. AI companies need this power, forcing partnerships that make miners a valuable pick-and-shovel play on AI.

Technologies like AI and robotics create massive deflationary pressures. To counteract this, governments will be forced to print more fiat currency, debasing it. This macro environment makes a scarce, decentralized asset like Bitcoin a critical tool for corporations to preserve capital and protect their balance sheets from inflation.

In an unpredictable AI-driven job market, the most reliable path to financial security is not a specific skill but owning assets. This allows individuals to participate in the massive wealth generated by the technology itself, providing a hedge against inflation and potential job displacement, and avoiding a future of dependency on government assistance.

For AI agents to be truly autonomous and valuable, they must participate in the economy. Traditional finance is built for humans. Crypto provides the missing infrastructure: internet-native money, a way for AI to have a verifiable identity, and a trustless system for proving provenance, making it the essential economic network for AI.