Zuckerberg will invest what he feels is necessary to compete in the future of AI: Luria

Key Concepts

• Meta's AI Investment Strategy: Founder-led investment in AI infrastructure (data centers) to compete in the future, even at the cost of short-term expense growth exceeding revenue growth.
• AI Compute Demand: Significant and growing demand for computational power to train and run AI models.
• Data Center Overbuilding: A strategic approach by major tech companies to invest heavily in data center capacity to ensure they can meet future AI demand, with the understanding that this capacity can be repurposed for core business needs if AI demand doesn't materialize as expected.
• Consumer AI Chat Market: The emerging market for AI-powered chat services, with Meta's vast user base (3.5 billion daily active users) positioned as a significant competitor to existing players like OpenAI.
• Alphabet's Business Diversification: Recognition of Alphabet's strengths beyond search, including cloud services and hardware (TPUs, Whimo), and the potential impact of AI chat monetization on its core search business.
• Microsoft's AI Dominance: Microsoft's strong position in AI, particularly for business customers, driven by its Azure cloud platform and its role as a key provider to AI developers like OpenAI.

Meta's Performance and Investor Reaction

• EPS Miss and Stock Decline: Meta experienced a significant stock price drop (down $93) following a missed Earnings Per Share (EPS) target.
• Analyst's Perspective: Gil believes investors are overreacting to Meta's current financial performance.
• Founder Mode Investment: Mark Zuckerberg is described as being in "founder mode," prioritizing investment in AI infrastructure to secure future competitiveness, even if it means expenses and capital expenditures (capex) grow faster than revenue.
• Revenue Growth: Meta's revenue is growing rapidly, with a 25% increase, which is an acceleration from the previous quarter's 22% growth. This is faster than Google's 15% growth.
• AI-Driven Advertising: Meta is leveraging AI to serve better, more targeted ads, leading to increased ad pricing and revenue. This success is generating the cash needed for AI investments.
• AI as a "Sport of Kings": The high cost of building massive data centers for AI model development is highlighted, with Meta's intent to be a leader in this space.
• Investor Pushback: Investors are reportedly concerned about investment growth outpacing revenue growth, a strategy that differs from Zuckerberg's current approach.
• "Chasing Rainbows" Concern: The question of whether Meta is pursuing speculative AI advancements (like superintelligence) is raised.
• Analyst's Reassurance: Gil argues that the investment in data centers is a calculated risk. Even if AI demand doesn't grow exponentially, the data centers will still be essential for Meta's core services (Instagram, Facebook, WhatsApp). This capacity can be absorbed over time by pausing construction and digesting existing infrastructure.
• Short-Lived Margin Pressure: The pressure on margins is expected to be temporary, as the capacity will be utilized for either AI or core business functions.
• Buy Rating Rationale: Gil maintains a "buy" rating on Meta due to its expected continued growth exceeding peers, an attractive valuation compared to Google, and confidence in its ability to win in the AI race.
• Consumer AI Chat Advantage: Meta's massive daily active user base (3.5 billion) provides a significant advantage in the consumer AI chat market, allowing them to offer services at a lower cost than competitors like OpenAI (800 million weekly active users).

Alphabet (Google) Performance and Outlook

• Stock Surge: Alphabet's stock is up $14, indicating positive investor sentiment.
• Shift in Sentiment: A few months prior, Alphabet was out of favor, with its non-search businesses overlooked. This sentiment has changed, partly due to the win in the DOJ case.
• Credit for Diversified Businesses: Investors are now acknowledging Alphabet's strengths in cloud computing, TPUs (Tensor Processing Units), and Whimo.
• Search Complacency and Competition: There's a growing concern that complacency is setting in regarding Google Search's dominance. The increasing use of ChatGPT for answering questions previously directed to Google is noted.
• ChatGPT Monetization Threat: The upcoming monetization of ChatGPT, including the potential for ads, poses a future threat to Google Search by offering advertisers an alternative to Google's ad platforms.
• Analyst's Sideline Stance: Due to the potential disruption from ChatGPT's ad monetization, the analyst is on the sidelines for Alphabet, advising caution for the next 12 months.

Microsoft's Performance and AI Position

• Investor Disappointment: Microsoft's stock is trading down $14 (almost 15%), reflecting investor dissatisfaction with the results.
• Best Bet on AI Future: Despite the stock dip, Microsoft is still considered the "best bet" on the future of AI due to its ability to perform well across a wide range of AI development outcomes.
• Azure Growth: Microsoft Azure's growth accelerated to 39%, representing a $75 billion business with recurring revenue.
• Splitting Hairs on Growth: The stock decline is attributed to expectations of 40% Azure growth, which the analyst considers "splitting hairs" given the overall strong performance.
• Market Share Gains: Microsoft is gaining market share in the AI space.
• Business Customer Dominance: Microsoft holds an "overwhelming lead" in providing AI services to business customers.
• Key Provider to OpenAI: Microsoft remains the primary provider to ChatGPT as it scales up.
• Strong Position Unchanged: The analyst reiterates that Microsoft's position as the best-positioned company in AI remains unchanged.

Conclusion

The analysis highlights a dynamic period for major tech companies, with Meta facing short-term investor backlash for its aggressive AI investment strategy, while Alphabet benefits from a positive sentiment shift but faces future competition in search. Microsoft, despite a minor stock dip, is seen as a strong and consistent player in the AI landscape, particularly for enterprise solutions. The overarching theme is the significant capital expenditure required for AI development and the strategic bets these companies are making to secure future market leadership.