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In the AI gold rush, don't bet on the "miners" like Google and Meta, who are spending billions on a new, high-risk game. Instead, invest in the "pickaxe makers"—the essential toll bridges like TSMC and ASML that every AI company must pass through, ensuring your investment has a higher probability of success.

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Like containerization, AI is a transformative technology where value may accrue to customers and users, not the creators of the core infrastructure. The biggest fortunes from containerization were made by companies like Nike and Apple that leveraged global supply chains, not by investors in the container companies themselves.

A safer way to play the AI boom is to invest in companies selling the underlying compute infrastructure rather than the hyperscalers buying it. This strategy captures the upside of the secular trend while avoiding direct exposure to how the massive capital expenditure is funded, which may involve risky credit.

Amid uncertainty about which AI applications will win, Blackstone's strategy is to invest in the essential infrastructure all AI companies need. This "picks and shovels" approach targets data centers and electricity, guaranteeing exposure to the boom without betting on specific, high-risk application companies.

Instead of betting on specific AI models like ChatGPT, a more robust strategy is to invest in the underlying infrastructure that all AI development requires. This 'onion' approach focuses on second-order essentials like semiconductors and data centers, which are poised to grow regardless of which consumer-facing application wins.

When a new technology stack like AI emerges, the infrastructure layer (chips, networking) inflects first and has the most identifiable winners. Sacerdote argues the application and model layers are riskier and less predictable, similar to the early, chaotic days of internet search engines before Google's dominance.

Instead of betting on which AI models or applications will win, Karmel Capital focuses on the infrastructure layer (neocloud companies). This "pick and shovel" strategy provides exposure to the entire ecosystem's growth with lower valuations and less risk, as infrastructure is essential regardless of who wins at the top layers.

Instead of chasing high-valuation, first-order AI players like GPU makers, THL focuses its investment thesis on second or third-degree beneficiaries. These companies provide critical, capital-light IP or embedded software that endures through tech cycles, offering better long-term value for middle-market investors.

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.

To capitalize on the AI boom while mitigating risk, investors should focus on 'enablers'—companies providing essential infrastructure like semiconductors, data centers, and cloud services. This 'picks and shovels' strategy avoids betting on specific application-level winners, which was a losing strategy for many dot-com investors.

Lumping the 'Magnificent Seven' stocks together is a significant analytical error. There's a clear divide between hardware companies (NVIDIA, Apple, Tesla) that build the infrastructure for AI and software companies (Microsoft, Google, Meta) whose business models are being fundamentally disrupted by it.