AI Valuations, Market Froth, and Inflation: An Investment Strategy

AI Valuations and Market Fundamentals

• 💡 Valuations in the artificial intelligence value chain are assessed based on fundamentals and earnings growth.
• 📈 Public market valuations for hyperscalers have contracted as earnings growth has more than doubled.
• ⚠️ In the private market, there are pockets of isolated froth in early-stage companies, necessitating selective investment.

Shifting from Infrastructure to Application Layer

• 🚀 The AI evolution is moving from the infrastructure stage (semiconductors, hyperscalers, power) towards the application layer.
• 🧩 This shift, described as moving from 'software as a service' to 'services as software,' presents meaningful opportunities in private companies.
• 🎯 The need for selectivity in private markets is indicative of the current AI life cycle stage.

AI Buildout and Economic Impact

• 📊 The current AI buildout represents about 1% of GDP, significantly less than previous technological revolutions (2-5% of GDP).
• 🔍 The AI sector is not currently showing signs of excess capacity, overvaluation, or excess leverage.
• ⚡ The economy remains compute and power constrained, with demand far outstripping supply in data centers, suggesting the investment cycle has years to run.

Inflation and Portfolio Strategy

• ⚠️ Inflation is expected to remain above the Fed's target for the foreseeable future, leading to higher-for-longer interest rates.
• 📈 This macroeconomic environment requires a shift in portfolio building blocks to ensure durable returns.
• 🏠 Inflation protection is crucial, as traditional bonds may not offer the same protection when rates and inflation are elevated; assets like infrastructure and real estate can provide resilient income.