The next AI race isn’t about knowing intelligence, it’s about knowing YOU

11 Sept 2026 · 1 min

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In this monologue, Dan Novaes argues that the current generation of AI assistants offers a one-size-fits-all experience, but the next wave will focus on deep personalization—learning users' writing style, preferences, habits, and contextual needs to anticipate requests like weekend planning. While this promises unprecedented convenience, it also raises critical privacy questions about what data should be retained, who controls it, and how easily users can delete it. Novaes frames the upcoming AI competition not merely as a race for raw intelligence, but as a contest to build assistants that understand individuals best while respecting their comfort with data sharing.

Chapters

Right now, most AI assistants give everyone roughly the same experience. But that's not where this is going. AI companies are building systems that can learn your preferences— how you write, what you work on, which answers you prefer, even how you like information explained. Why? Because the more an AI understands you, the less you have to explain. Imagine asking, plan my weekend, and your AI already knows your budget, the food you like, the places you've visited, and what you normally enjoy doing. That's incredibly convenient. But there's a trade-off. Personalization requires information. And the more personal AI becomes, the more important questions about privacy become? What should it remember? Who controls that information? And how easily can you delete it? The next AI race may not just be about building the smartest assistant; it may be about building the assistant that understands you best, without knowing more than you're comfortable sharing.