Meta has the most riding on earnings next week, says Plexo Capital's Lo Toney

Key Concepts

• CAPEX (Capital Expenditure): Funds used by a company to acquire, upgrade, and maintain physical assets such as buildings, machinery, equipment, or vehicles.
• Hyperscaler: Companies that invest heavily in large-scale infrastructure to support cloud computing services (e.g., AWS, Azure, Google Cloud).
• Inference (AI): The process of using a trained AI model to make predictions or decisions based on new data.
• Intent-Based Advertising: Advertising targeted based on a user’s expressed needs or goals (e.g., Google Search ads).
• Per-Seat Licensing: A software licensing model where payment is based on the number of users who have access to the software (common in enterprise software).
• Gemini: Google’s multimodal AI model.

Meta’s Vulnerability & The Stakes of Next Week’s Earnings

The primary focus of the discussion centers on the significant risk facing Meta (Facebook) during the upcoming earnings reports. The speaker asserts that Meta has the most to lose compared to Amazon, Microsoft, and Apple. This vulnerability stems from Meta’s substantial capital expenditure (CAPEX) – spending at a level comparable to hyperscalers like Amazon Web Services – coupled with a business model heavily reliant on advertising revenue derived from user attention. The speaker highlights that the market reacted negatively to Meta’s previous earnings report, specifically to the high CAPEX spend without a clear path to increased monetization. A chart illustrating a significant stock drop following the last earnings print visually reinforces this point.

The Need to Demonstrate AI Monetization

The market’s expectation, according to the speaker, isn’t simply about AI improving ad monetization and attention. It’s about demonstrating a viable path to revenue generation from investments in “always-on intelligence” and the inference side of AI. This is crucial because the ability to price these AI-driven services is questionable. Unlike Google, which benefits from intent-based advertising, or Microsoft, which utilizes a per-seat enterprise licensing model, Meta’s advertising model is more susceptible to limitations in monetizing advanced AI capabilities. The speaker notes that Meta’s business model is “limited and capped to monetizing via the attention from ads.”

Microsoft’s Position & Google/Apple’s Advantage

While acknowledging Microsoft’s earnings will also be closely scrutinized, the speaker suggests the risk is slightly lower for them. The discussion then pivots to the contrasting strategies of Google and Apple. Google is estimated to spend $18-$20 billion annually on traffic acquisition. However, Apple, by not making similar massive investments in AI infrastructure, is now positioned to benefit. Apple is reportedly able to leverage Google’s Gemini model internally, effectively recycling a portion of Google’s expenditure. The speaker frames this as a potentially astute decision, stating, “Now it looks like that’s paying off. Apple is taking intelligence as an input to an already great business that they can monetize well.” This is described as a “reverse tack” – benefiting from another’s investment rather than bearing the full cost.

Amazon & Prime Video

The conversation briefly touches upon a Reuters report indicating that Prime Video (Amazon) will also be impacted by financial pressures. However, this point is quickly dismissed as unconfirmed, with Amazon declining to comment.

The Importance of Earnings Momentum

The speaker emphasizes the need for these stocks to regain momentum following the earnings reports, expressing hope for a positive outcome. The overall tone suggests a high degree of uncertainty and sensitivity surrounding the upcoming earnings releases, particularly for Meta.

Synthesis/Conclusion

The core takeaway is that Meta faces a particularly challenging earnings period due to its high CAPEX spend and reliance on advertising revenue. The market will be closely evaluating Meta’s ability to demonstrate a clear path to monetizing its AI investments, a challenge that is more acute than for competitors like Google, Apple, and Microsoft. Apple’s strategic decision to avoid massive upfront AI infrastructure investments appears to be paying dividends, allowing them to leverage existing models like Gemini. The success of these earnings reports will be critical in determining the short-term trajectory of these tech giants.