Magic Johnson argues that while everyone chases the 'hottest' companies, these ventures are often volatile trends. His success came from investing in unsexy but essential sectors like infrastructure, insurance, and food service, which provide steady, reliable returns and long-term growth without the hype.

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.

The AI boom creates a cascading investment thesis. As component makers (e.g., memory stocks) see valuations soar, they will use their enriched stock as currency to invest heavily in their own supply bottlenecks, which are fundamental raw materials like rare metals and chemicals.

During the dot-com crash, application-layer companies like Pets.com went to zero, while infrastructure providers like Intel and Cisco survived. The lesson for AI investors is to focus on the underlying "picks and shovels"—compute, chips, and data centers—rather than consumer-facing apps that may become obsolete.

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 funding another stablecoin protocol, the more viable investment is in the tooling layer. This includes payment systems, SDKs, and accounting software (like triple-entry bookkeeping) that enable small businesses globally to integrate stablecoin payments into their existing fiat workflows.

Gaonkar favors businesses with complex, "systemic" moats derived from deeply integrated processes, like TSMC's manufacturing expertise. She argues these are more durable than moats based on a single advantage, comparing it to owning the process of gold extraction rather than just owning the mine.

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.

To invest in high-risk, transformative fields like quantum computing, structure portfolios with three tiers: established leaders (e.g., IBM) forming the core, "enabler" companies providing key components (e.g., Honeywell), and a smaller allocation to purely speculative startups (e.g., IonQ) to capture upside while managing volatility.