Inside Google's AI turnaround: The rise of AI Mode, strategy behind AI Overviews, and their vision for AI-powered search

Robby Stein, VP of Product for Google Search, discusses the rise of Google's AI search experiences, including AI Overviews, AI Mode, and multimodal tools like Google Lens. The conversation also covers his product principles from Instagram (Stories, Close Friends) and Stamped, and how to build and grow successful consumer products.

01Key learnings

• Search demand is expanding rather than dying: AI lets people ask more and harder questions, so growth comes from new query types on top of stable core intents.
• Build a product from a real user problem and stay dissatisfied with the status quo; keep making it better until it tips into being net useful.
• Use a J-curve retention analysis (day 7, 30, 90) to tell whether a product is flattening into real usage or steadily losing users.
• Keep teams small only until internal conviction is proven; then add people, because overly scrappy teams can starve products of the momentum needed to succeed.
• Use jobs-to-be-done thinking, interrogating why users first hired your product, and remember emotional jobs such as connection matter as much as utility jobs.
• Favor clarity over cleverness: reuse familiar icons and interaction patterns, and make new features feel native to the product while clearly distinct.
• When adding a new format, make it complementary rather than replacing the core experience, and tailor it to your own product's expectations instead of copying another app.
• Put AI-native habits to work: modern models respond to plain-language instructions and tools, so you can often skip heavy fine-tuning and just describe the task and resources.

02Frameworks mentioned

Summary and takeaways written by PM Atlas; quotes are short excerpts. © the original author.