Google posted record highs, but 'Meta is a way better buy,' analyst says

Key Concepts

• Google's AI Advancement: The successful launch of Google's Gemini 3 AI model and its impact on the company's stock performance.
• AI Arms Race: The competitive landscape among major tech companies in developing and deploying artificial intelligence.
• Market Cap: The total market value of a company's outstanding shares, with Google nearing $4 trillion.
• Chip Demand and Supply: The high demand for AI chips, particularly from Nvidia, and the resulting capacity constraints.
• Diversification of Vendors: The strategy of companies spreading their reliance across multiple chip and data center providers to mitigate risk and address supply shortages.
• Sentiment Trading: Market behavior driven by investor sentiment and momentum rather than solely fundamental analysis.
• Gemini 3 vs. ChatGPT: The discussion around the capabilities and adoption of Google's Gemini 3 compared to OpenAI's ChatGPT and other AI agents.
• Multi-Agent AI Ecosystem: The expectation that users will utilize multiple AI agents from different providers rather than a single dominant one.
• Capital and User Base: The critical factors for success in the AI market, limited to a few major players like Google, Amazon, and Microsoft.
• "Worst Sentiment" Investing: A strategy of investing in companies with negative sentiment, as they often present better buying opportunities.
• Meta and Oracle as Investment Opportunities: The argument that Meta and Oracle are currently oversold and represent better investment prospects than Google at its current valuation.
• Oracle's Debt and Reliance on OpenAI: Concerns raised by analysts regarding Oracle's debt and its dependence on OpenAI, and the counterarguments presented.
• Oracle's Broader Success: The assertion that Oracle's success extends beyond its OpenAI partnership, with potential for growth in other AI deals.
• ROI in AI Trade: The debate on identifying companies with a clear return on investment in the AI sector.
• Meta's Commercial Business Potential: The speculation about Meta's future expansion into the enterprise market as a business provider.
• Overexaggeration in Stock Movements: The observation that stock prices can experience exaggerated swings due to market sentiment and momentum.

Google's Performance and the AI Landscape

Google's stock has recently experienced a significant rally, outperforming other major tech companies like Nvidia, Microsoft, and Oracle. The stock is trading at a record high and is approaching a $4 trillion market capitalization, largely attributed to the successful launch of its new Gemini 3 AI model. This performance places Google at the forefront of the ongoing "AI arms race."

Meta's Interest in Google's Infrastructure

Recent reports indicate that Meta is in discussions with Google to invest billions in Google's chips and data centers. Brent Till, a senior analyst at Jeffrey's, views this as positive news for Google but not a definitive victory. He emphasizes that the current high demand for AI infrastructure leads to widespread utilization of various providers' resources.

• Capacity Constraints: The demand for AI chips, particularly from Nvidia, is so high that it cannot be fully met. This has led to significant backlogs for major cloud providers like Microsoft, Google, and Amazon, with booked deals exceeding reported revenue.
• Diversification Strategy: Companies are seeking to diversify their vendor relationships to avoid over-reliance on a single provider and to secure necessary supply. This is a lesson learned from previous technology cycles where spreading workloads across multiple vendors was deemed prudent.
• Market Sentiment Shift: The narrative around Google has shifted dramatically. At the beginning of the year, sentiment was negative due to concerns about the transition to AI from search. However, recent market trends have seen an "anti-Nvidia trade," where stocks in the Google camp have risen, while Nvidia-related stocks have declined. This current market environment favors Google, with investors perceiving it as making no mistakes.

Gemini 3 and the Multi-Agent AI Future

The launch of Gemini 3 has generated considerable excitement, with figures like Salesforce's Marc Benioff expressing a preference for it over ChatGPT. However, Brent Till suggests a more nuanced view:

• Multiple AI Agents: The future of AI usage will likely involve multiple AI agents from various platforms, rather than a single dominant technology. Users will leverage different agents for different tasks.
• Technological Advancement: The technologies across different AI platforms are continuously improving, making it likely that multiple solutions will coexist and be utilized.
• Limited Number of Key Players: Despite the proliferation of AI agents, only a select few companies possess the necessary capital, infrastructure, and user base to be major players in this market. These include Google, Amazon, Microsoft, and Oracle.

Investment Strategy: Contrasting Google with Meta and Oracle

Till advocates for an investment strategy focused on companies with the "worst sentiment," arguing that these often present the most attractive buying opportunities.

• Google's Momentum: While Google is currently benefiting from positive sentiment and momentum, Till believes that chasing this trend at current levels is less advisable than investing in companies with oversold valuations.
• Meta and Oracle as Undervalued Assets: Till identifies Meta and Oracle as companies currently experiencing negative sentiment and oversold conditions, despite their underlying businesses not being fundamentally weak. He suggests that the market's focus on Google has led to an unjustified decline in these other names.
• Sentiment vs. Fundamentals: The significant stock movements in Google, Meta, and Oracle are attributed more to sentiment shifts than drastic changes in their fundamental business operations.

Oracle's Position and Future Prospects

The discussion then turns to Oracle, a company that has been significantly impacted by negative market sentiment.

• Downgrades and Concerns: CFRA has downgraded Oracle to "hold," citing mounting debt concerns and a heavy reliance on OpenAI.
• Broader Success Beyond OpenAI: Till argues that the market has overreacted to Oracle's reliance on OpenAI. He believes that the value of the OpenAI deal is already priced into the market cap and that Oracle's success is more widespread.
• Cash Flow and High-Quality Deals: Oracle's management has emphasized its strong cash flow and its ability to secure AI deals from high-quality vendors, not just the lowest-cost providers.
• Potential for a Turnaround: Till anticipates that Oracle's stock may stabilize and potentially rebound once the company reports its earnings in early December, especially if it can provide further clarification on its deals beyond OpenAI and demonstrate its ability to manage its debt.
• "Engine Out" Analogy: The current market focus on Google, to the exclusion of other companies like Meta and Oracle, is likened to an "engine out" situation where attention is narrowly focused on one issue.

The AI Trade and Return on Investment (ROI)

The conversation touches upon the broader trends in big tech trading and the investor focus on ROI in the AI sector.

• Divergent Trading Patterns: Significant divergences are observed in how different big tech stocks are trading, with investors drawing clearer lines in the AI trade.
• Skepticism on ROI Focus: Till expresses skepticism about the market's ability to accurately identify and prioritize ROI in the AI trade, citing the example of Palantir's previous high valuation.
• Market Volatility and Momentum Chasing: The market is characterized by its tendency to chase "flavor of the week" trends rather than focusing on underlying fundamentals and future potential.
• Ecosystem Health and Backlogs: Till maintains that the AI ecosystem is generally healthy, with strong backlogs exceeding actual investment dollars. This suggests that the current stock movements might be overexaggerated.
• Meta's Untapped Potential: Till sees a significant hidden opportunity for Meta in the commercial enterprise sector, similar to how AWS emerged as a business provider for Amazon. He believes Meta could develop a viable business in this space.
• Long-Term Investment Perspective: For patient, long-term investors, the current oversold conditions in Meta and Oracle present an "amazing opportunity."

Conclusion

The discussion highlights the dynamic and sentiment-driven nature of the current big tech and AI market. While Google is experiencing a period of strong performance driven by its AI advancements and positive market sentiment, analysts like Brent Till suggest that companies like Meta and Oracle, currently facing negative sentiment and oversold conditions, may offer more compelling long-term investment opportunities. The market's focus on specific narratives and momentum can lead to overexaggeration in stock prices, creating potential entry points for astute investors. The future of AI is seen as an ecosystem with multiple players and technologies, rather than a winner-take-all scenario.