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, Google Search)

Robby Stein describes a renewed sense of focus and urgency at Google as its AI products become more visible to consumers. He does not attribute the change to a single reorganization or individual. Instead, he frames it as the accumulated effect of close work among product teams, researchers, DeepMind partners, investment, and repeated product and model improvements until users begin to notice and enjoy the results.

The episode introduces Stein as the Google Search product leader responsible for work including AI Overviews, AI Mode, Lens, and ranking, after earlier leadership roles at Instagram and startup work. Asked about a personal operating principle, he describes relentless, productive effort joined with an insistence on making products better rather than becoming satisfied with their current state.

The conversation tests the claim that chatbots have made conventional search obsolete. Stein’s response is that people still bring search a very broad range of concrete needs, from a phone number or price to directions or a tax-payment page. In his view, AI has not displaced those foundational uses. It expands the number of questions people can ask and the curiosity that can be fulfilled.

He uses visual search as an example of that expansion. Stein says users can photograph shoes to ask where to buy them, homework to ask for help with a specific question, or a bookshelf to seek related books. He identifies Google Lens as a fast-growing product and says visual searches have grown 70% year over year at a scale of billions of searches.

AI Mode is presented as a new Google search destination, with Stein confirming the google.com/ai address. Lenny’s early use of the product leads to a discussion of its personalized suggested queries. The product explains that recommendations can be based on Google activity, which makes the suggestions feel unusually specific to the user.

Stein’s broader product philosophy also resists treating imitation as inherently wrong. In discussing Instagram Stories, he argues that a team need not invent every worthwhile pattern; if an established interaction can give users a better product, refusing to adopt it can deny users that improvement.

Stein divides Google’s next-generation AI search into three connected components: AI Overviews for fast answers at the top of results, multimodal search through Lens, and AI Mode as a conversational end-to-end search experience. He says AI Mode is designed to use Google’s information systems, including the Shopping Graph, Maps, finance information, and the web, while giving users links and context for deeper investigation.

The intended experience is convergence rather than a set of disconnected destinations. A user should be able to enter a complex question in ordinary Google Search, receive an AI preview, and continue in AI Mode. The same pattern applies to a camera query. Stein says Google began with a direct AI Mode entry point so people could try the new product and provide feedback, but the aim is a consistent product in which users do not need to decide where a question belongs.