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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.

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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's ability to generate software at near-zero marginal cost is erasing the scarcity premium that propelled software stocks for over a decade. This realization is causing a massive capital rotation out of software ETFs and into tangible, scarce assets like metals and commodities.

Crypto is no longer the only game in town for high-risk speculation. The rise of compelling "frontier" narratives in public markets—like AI, space, and robotics—has diluted the pool of speculative capital that once flowed primarily into crypto, making sustained rallies harder to achieve.

The recent surge in Bitcoin's value and market share aligns with a broader flight to store-of-value assets, including gold. This suggests its product-market fit as 'digital gold' is resonating in the current macroeconomic climate, independent of technological innovation on the network itself.

The massive demand for GPUs from the crypto market provided a critical revenue stream for companies like NVIDIA during a slow period. This accelerated the development of the powerful parallel processing hardware that now underpins modern AI models.

The historic rotation between asset-light (tech) and asset-heavy (commodities) industries is breaking down. AI requires massive physical infrastructure (data centers), turning 'bits' companies into 'atoms' companies and creating huge new demand for energy and materials.

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.

Rather than picking a winning AI or crypto, the smarter investment is in the 'picks and shovels.' This means focusing on the infrastructure every autonomous agent will require to transact—such as wallets, custody services, and blockchain rails—regardless of which specific application succeeds.

Large-cap tech's massive spending and debt accumulation to win the AI race is analogous to past commodity supercycles, like gold mining in the early 2010s. This type of over-investment in infrastructure often leads to poor returns and can trigger a prolonged bear market for the sector.

The AI Boom Is Draining Capital from Crypto, Mirroring Tech's 2012 Defeat of Gold | RiffOn