Tech earnings: Investors reward companies that own the full stack of AI

Key Concepts

• Full Stack AI: Owning and controlling all aspects of AI development – models, infrastructure, and distribution.
• Strategic Risk (OpenAI Dependence): The potential downside of relying heavily on a third-party AI provider, particularly as that provider evolves into a competitor.
• Market Pricing of AI: How investors are currently valuing companies based on their AI capabilities and control.
• Enterprise Adoption: The extent to which businesses are integrating and utilizing AI models.
• Free Cash Flow: A company’s cash flow after accounting for capital expenditures.

AI Earnings Snapshot: Big Tech’s First Week

The first week of Big Tech earnings reports reveals a significant shift in how the market is valuing companies based on their approach to Artificial Intelligence (AI). The primary metric driving investor sentiment is a company’s degree of “full stack” AI ownership – controlling the entire process from model development to infrastructure and distribution.

Meta’s Bullish Spending

Meta’s substantial spending on AI is currently being viewed positively by the market. While expensive, this investment is justified by Meta’s internal control over all aspects of its AI development. Deirdre Bosa highlights that the market is “rewarding companies that really own the full stack of AI,” and Meta demonstrably possesses this control – owning the models, the infrastructure, and the distribution channels. This internal control is seen as a key advantage.

Microsoft’s OpenAI Dependence & Market Reaction

In contrast to Meta, Microsoft is facing market headwinds due to its reliance on OpenAI. Investors are increasingly perceiving this dependence as a “strategic risk,” particularly as OpenAI expands its enterprise offerings and potentially transitions from partner to competitor. Microsoft possesses the infrastructure and distribution capabilities, but its reliance on OpenAI’s models is a point of concern. The commentary suggests that as OpenAI becomes more focused on direct enterprise sales, it poses a competitive threat to Microsoft.

Apple’s AI Position & Future Scrutiny

Apple’s stock performance has been relatively flat, indicating the market hasn’t yet recognized a clear AI strategy. The company is described as “drifting” and lacking a defined AI “bet.” Investors will be closely watching how Apple balances internal AI development with outsourcing, and crucially, the associated costs. The question is framed as “how much Apple is going to own itself and how much it’s going to outsource. And of course, at what cost.”

Amazon & Google: Upcoming Stress Tests

Amazon and Google are next to report earnings, and their performance will be critical. Amazon, like Microsoft, controls a significant portion of the AI stack, but currently lacks a widely adopted model favored by developers and enterprise users. Google faces a “stress test” to demonstrate that its recent 20% stock gain is sustainable, requiring proof of strong developer and enterprise adoption of its AI models.

Implications for AI-Focused IPOs

Looking beyond the current earnings cycle, the market’s reaction to these established tech giants will provide valuable insights into how it views “pure play” AI companies preparing for Initial Public Offerings (IPOs). Specifically, the performance of potential IPOs from OpenAI and Anthropic will be closely scrutinized. Meta’s current spending habits, described as “burning through its free cash flow pile,” will also be a factor in assessing the viability of these newer AI ventures.

The overarching theme is a clear market preference for companies that control the entire AI development process, signaling a shift in valuation criteria within the tech sector.