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Tibo Sottiaux, head of ChatGPT and Codex at OpenAI, predicts that agents will handle most internet actions soon, the model picker will disappear, and people should build assuming models will be 10x better in a year. He also argues that complex agent architectures are a passing phase and that taste—understanding users and knowing what good looks like—will matter more than technical skills like typing speed.
- Agents will soon take most actions on the internet, forcing every product team to decide whether to build for them; Notion's MCP server launch caused system strain and forced economic rethinking.
- Models will improve at "incredible" rates in speed and cost over the next year, so builders should design as if today's capabilities are 10x worse than what's coming, not optimize for the present.
- Complex agent loops and graph architectures are a temporary solution—as models get better, larger single agents can handle what previously required teams, making intricate setups obsolete.
- The OpenAI plugin ecosystem could be a major opportunity: plugins get revenue share when users spend tokens, and ChatGPT recommends them to 1.2 billion users based on retention and quality.
Meta's Muse succeeds where ChatGPT and Claude stumble not because of novel technology, but because it nails three things competitors missed: a simple mental model (your personal helper with its own computer), an ad-funded business that lets users ignore token limits, and personality-driven design that builds emotional connection. This positions Meta to own consumer AI at scale.
- Muse abstracts away unnecessary complexity that plagues ChatGPT and Claude—no model selector, no work vs. chat toggle, no obscure slash commands. One unified chat orchestrates everything in the background, giving users a clear metaphor they already understand.
- Meta's ad business lets them fund Muse's free tier generously, while ChatGPT and Claude are constrained by token-based pricing that keeps most consumers from accessing powerful agentic features. Usage is "a mile wide but an inch deep" for the paid competitors.
- Personality and anthropomorphization drive adoption and engagement more than raw capability—Muse bet on cute avatars and likable AI personality while OpenAI and Anthropic went sterile and elite. This resonates with average consumers who've rejected cold-tool positioning.
- OpenAI fumbled by not investing in ads early enough; Google has compute and ad money but no consumer product chops; Apple has no AI expertise. Meta now owns the opportunity to capture the consumer AI market at scale.