Sundar: Private markets are driving meaningful innovation beyond AI

Key Concepts:

• Private Markets Investing
• Private Equity
• Valuation Expansion vs. Earnings Growth
• AI Investment Strategies
• Software as a Service (SaaS)
• Service as Software
• Barbell Approach (Public vs. Private)
• Mag-7
• Hyperscalers
• Active Management

1. Investing in Private Markets: Opportunities and Considerations

• Main Point: Investing in private markets, particularly private equity, presents significant opportunities due to innovation and earnings growth potential, especially in AI.
• Supporting Evidence:
  • Early-stage startups require patient strategic capital, often found in private markets.
  • The abundance of capital in private markets seeks investment opportunities.
  • The valuations of the top three private companies would place them among the top 30 in the S&P 500.
• Diversification: Private markets offer diversification benefits, given the concentration in public markets (Mag-7 and hyperscalers).

2. Valuation Growth in Private Markets: AI Focus

• Main Point: While private company valuations have increased substantially, particularly in AI, this growth is often justified by rapid earnings and revenue expansion.
• Supporting Evidence:
  • The "private Mag-7" has seen a combined value increase of $1.2 trillion since the end of 2022, nearly quadrupling in value.
  • The time it takes for startups to reach $10 million in annual revenue has decreased from over a decade to approximately 12 months.
• Valuation vs. Earnings: Valuation expansion is acceptable if accompanied by corresponding earnings and revenue growth.

3. Software as a Service (SaaS) and AI Investment

• Main Point: SaaS represents a 3 to 5 trillion dollar opportunity, with a significant portion of software companies (95% as of March) being private.
• Implication: To fully participate in the AI trade, investing in private companies is essential.

4. Barbell Approach: Public vs. Private AI Investments

• Main Point: A "barbell approach" is recommended, balancing investments in both public and private markets to capture different stages of the tech innovation cycle.
• Explanation:
  • Infrastructure Layer (Public): Hyperscalers and semiconductor companies dominate value creation in the early stages of AI (similar to the cloud computing cycle).
  • Application Layer (Private): The focus is shifting towards the application and platform technology layer, particularly "service as software" (automation of business functions).
• Service as Software: Automation of core business functions and parts of the labor force.
• Future Outlook: A majority of companies in the application layer are expected to remain in private markets over the next decade.

5. Public Market AI Investment Strategies

• Main Point: Active management and selectivity are crucial for investing in AI within public markets.
• Considerations:
  • The leaders in the tech space are constantly changing.
  • Invest in a basket of high-quality companies with cash flow positive, durable earnings growth.
  • Focus on companies with visible CapEx, revenue drivers, and clear lines of sight into future performance.

6. Conclusion

• Investing in AI requires a nuanced approach, considering both public and private markets.
• Private markets offer access to early-stage innovation and high-growth potential, particularly in the application layer of AI.
• Public market investments should be actively managed, focusing on high-quality companies with strong earnings growth and clear visibility into future performance.
• The "barbell approach" balances investments across both markets to capture the full spectrum of opportunities in the AI revolution.