Instead of pursuing a scattered 'super intelligence' strategy, Meta could find more success by focusing on narrow, high-value consumer AI applications. Similar to how the focused Meta Ray-Bans succeeded where the broader Metaverse vision stalled, dominating specific areas like voice or image models within its apps could be a more viable path.

Instead of selling AI directly to consumers, Meta provides AI tools to its 15 million business advertisers. This makes ads smarter and more effective, increasing ad revenue. This profitable ad machine then funds Meta's massive, long-term AI ambitions, creating a powerful flywheel.

Advertising within LLMs like ChatGPT can be a win-win. For discovery queries (e.g., "what's the best tool for X?"), a relevant ad acts as an additional, valuable suggestion rather than an interruption. This improves the user's discovery process while creating a high-intent channel for advertisers.

A contrarian view suggests Google's core search ad product has degraded for a decade, relying on its monopoly. In contrast, talent from more innovative ad platforms like Meta, now at OpenAI, could enable OpenAI to be more agile in creating a new, more compelling advertising model for the LLM era.

As AI models become commoditized, Meta's sustainable competitive edge comes from its massive user base and proprietary data. Its distribution network allows it to improve its core ad business with AI, making it less reliant on having the single best model to win.

Unlike enterprise tools that require slow adoption cycles, Meta can instantly deploy AI model improvements into its ad-serving system. This creates an immediate, measurable revenue lift, giving it a significant advantage in monetizing AI breakthroughs without a complex go-to-market strategy.

OpenAI's potential $100B advertising business has a unique moat. It can combine search-like query intent (what users want, like Google) with deep conversational context (who users are, like Meta). This fusion of data types creates a powerful targeting capability that neither search nor social platforms possess alone.

Unlike competitors who would struggle to introduce ads into AI chat, Meta's user base is already accustomed to ads in their feeds. This gives Meta a unique advantage to monetize a proactive consumer AI agent that can surface sponsored suggestions for shopping or travel without creating user friction.

Meta's core moat is its ability to solve the classic advertiser's dilemma: knowing which half of their ad spend works. By providing granular data on impressions, conversions, and ROI, it created what Pat Dorsey called the perfect advertising platform.