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Bitcoin thrived in a "TINA" (There Is No Alternative) environment defined by low growth and monetary dilution. The AI revolution has broken this paradigm by creating genuinely productive uses for capital, giving investors a high-growth alternative that directly competes with Bitcoin for flows.
AI innovation is accelerating so rapidly that forecasting a company's cash flows is impossible. This breaks the discounted cash flow (DCF) model, the bedrock of equity valuation. This uncertainty drives capital toward non-cash-flow assets like Bitcoin, which aren't vulnerable to such forecasting risk.
The easy-to-understand and demonstrable power of AI has captured investor attention and capital that might otherwise go to Bitcoin. Unlike Bitcoin's significant educational lift, AI's value is immediately apparent, making it a "sexier" and more accessible investment thesis for those with disposable capital, thus acting as a narrative competitor.
AI and crypto are not competing but are parallel, complementary forces reshaping business. While AI revolutionizes company creation and internal operations, Internet Capital Markets (powered by crypto) are fundamentally rewriting the external functions of capital formation, trading, settlement, and ownership for this new generation of AI-native companies.
A powerful parallel exists between the 2010s gold market and today's crypto market. The immense capital demand for productive AI infrastructure is siphoning investment away from non-productive "store of value" assets like crypto, causing significant underperformance and outflows.
As AI becomes capable of improving itself, capital may concentrate on these systems, seeking exponential returns. This creates a new paradigm where traditional value investing strategies, which rely on mean reversion, could fail as certain sectors get permanently disrupted while others achieve sustained, compounding growth.
A key real-time indicator of crypto's viability is the action of its miners. Many are pivoting to provide power for AI infrastructure, signaling that economic incentives are currently superior in centralized AI. This represents a direct power struggle between the two ecosystems.
Jeffrey argues that while crypto is powerful for finance, its applications are limited. AI, or 'intelligence,' touches every aspect of human activity, from writing poetry to cooking. This gives it a vastly larger Total Addressable Market (TAM) and greater investment potential.
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.
The immense power demand from AI creates a new, more profitable business for Bitcoin miners: selling power to data centers. This pivot causes miners to sell their Bitcoin to finance the transition, creating a significant and overlooked source of supply pressure on the crypto market.
As AI agents become primary drivers of value creation, the ability to command computation will define wealth. Stored energy, convertible into computation, will be the ultimate resource. This makes finite, sovereign digital energy proxies like Bitcoin increasingly relevant as a foundational asset.