Gene Munster on Oracle's AI Stock Performance and the Future of the AI Trade

Oracle's 2026 Outlook

• ⚠️ Oracle is predicted to underperform relative to other large-cap AI stocks in 2026, primarily due to capacity constraints.
• 🎯 Despite impressive growth targets, Oracle may fall slightly below its own ambitious projections, making it difficult to improve its stock multiple.
• 📊 The company's disclosed backlog, while growing significantly, creates a challenging comparative baseline for future performance.

AI Trade Dynamics and Investor Sentiment

• ⚡ The recent market activity, while seemingly negative for AI, may actually help minimize contagion risk to other AI players.
• 💡 A potential catalyst for renewed investor optimism in AI could be a further 10% decline in the AI trade, signaling a market bottom.
• 📈 However, as the year-end approaches, the market narrative is likely to shift back to positive expectations for AI, with investors wanting to be positively positioned.
• 🚀 Fundamentals in AI are expected to continue proving themselves, with the technology's transformative potential becoming more apparent, leading to stock responses in the first half of next year.

Commoditization and Token Pricing in AI

• 🔍 The risk of AI commoditization is largely tied to token pricing and the potential for a race to the bottom.
• 💡 The Jevons paradox suggests that as AI pricing decreases, usage will increase, similar to Google's experience with search and mobile.
• 📈 Not all token pricing is expected to decline drastically; premium tokens are likely to maintain strong pricing, supporting continued growth.
• 💬 Sam Altman's continued confidence in doubling revenue suggests that the AI sector may not become entirely commoditized.