john gruber

Google aims to neutralize OpenAI/Anthropic by making LLMs a commodity layer through Apple's Siri integration, leveraging its comfort with scale economics; Meta insists on full-stack ownership but faces capex double-spend with no clear monetization, creating a strategic divergence between commodity and sovereign AI infrastructure plays.

OpenAI's perceived victory lap ended with Anthropic's revenue momentum forcing a rushed product response; Meta's simultaneous renting of compute and building data centers for sovereign models creates a financial overhang that public markets are pricing in, signaling a potential capex digestion phase.

Meta spends heavily on custom silicon, data centers, and frontier models for stack sovereignty; Apple avoids capex race, leverages Google partnership for Siri backend, and focuses on efficient on-device inference with custom silicon; both approaches reflect different moat theories.

Apple is positioning Siri as a basic but functional AI assistant for hundreds of millions of users who have never used ChatGPT or Claude, betting that AI becomes commoditized rather than a differentiated frontier. Google is supporting this strategy to kneecap OpenAI and Anthropic, but risks eventually threatening its own search revenue as Siri could displace Google search on Apple devices.

Claude Code bundling and revenue run rate put Anthropic ahead; OpenAI panicked into desktop app launch; Apple's Siri AI visually copies ChatGPT but targets basic use cases; Google helps Apple commoditize assistants to pressure frontier labs.

The AI-driven capex explosion has caused a once-in-a-hundred-year flood in memory pricing that caught Apple flatfooted, forcing mid-cycle price increases for the first time. The boom is fueled by unprecedented capex expenditure and has no historical comparison point, though it may ultimately self-correct as memory manufacturers fund their own capacity expansion.