Google VP of Product on The Future of Search and AI Mode | Robby Stein | E287 - The Product Podcast Recap

Podcast: The Product Podcast

Published: 2026-03-11

Duration: 46 min

Guests: Robby Stein

Summary

Google's Robby Stein dives into the transformation of Google Search through AI, focusing on conversational AI mode and its massive potential to redefine how users interact with information.

What Happened

Robby Stein explains how Google Search is undergoing its most significant shift in history, driven by AI. AI mode, which has already reached 75 million daily active users, offers a conversational interface that can handle complex, multi-faceted queries like planning a trip with unique constraints. Stein highlights how AI enriches broader search use cases, such as integrating real-time data from Google Maps and shopping insights to deliver answers users can't find elsewhere.

Stein shares the challenges of building AI mode, drawing comparisons to Instagram features he helped develop like Stories and Reels. Both products initially struggled but succeeded after iterations focused on user needs. For AI mode, early feedback from trusted testers helped refine the conversational experience, making it seamless and highly engaging.

Google's AI products are scaling rapidly, but Stein emphasizes that not every query benefits from AI. Simpler searches—like finding a form or an image—are best served by traditional methods. The aim is to integrate AI intelligently, offering value without disrupting what already works for billions of users.

Stein discusses how metrics like flat retention curves and increasing depth of engagement signal product-market fit. For AI mode, recurring usage and follow-up queries are critical indicators of success. He contrasts this with metrics at Instagram, where the sharing of posts via DM was a stronger signal than likes or comments.

Addressing the perception of Google being late to the AI race, Stein argues that distribution and integration across Search, Android, and Gmail give Google a unique edge. He likens the adoption of AI to Instagram's adoption of Stories—a feature that felt inevitable yet required careful alignment with user behavior.

Stein outlines the future of search in three areas: deeper integration of real-time, personalized knowledge; conversational interaction across multiple modalities like voice and screenshots; and agentic experiences where AI proactively assists users, from shopping to booking reservations.

He also reflects on the iterative nature of innovation, sharing stories of how products like Instagram's Close Friends and Reels were initially failures before becoming successes. Key lessons include the importance of conviction, identifying latent demand, and iterating relentlessly.

Finally, Stein highlights how AI has reduced the friction of building new features, enabling faster experimentation and innovation. He emphasizes the role of leadership in focusing on high-impact opportunities and fostering collaborative teams to bring ambitious ideas to life.

Key Insights

• AI mode on Google Search handles multi-faceted queries, like planning a trip with unique constraints, by blending conversational AI with real-time inputs from Google Maps and shopping data. This approach answers questions traditional search engines can’t, creating an entirely new user experience.
• Early testers shaped Google’s AI mode by identifying conversational gaps that made the interface feel unnatural. Iterating based on this feedback mirrors Instagram’s success with Stories, which initially failed until it aligned better with how users actually shared content.
• Not every search benefits from AI—simple tasks like finding a form or an image are faster with traditional methods. Google’s strategy is to integrate AI selectively, ensuring it enhances complex queries without disrupting billions of existing use cases.
• Conviction and relentless iteration turned Instagram's Close Friends from a flop into a hit, and Google applies the same principle to AI mode. Metrics like recurring usage and follow-up queries signal product-market fit, showing whether users find real value in conversational AI.

Key Questions Answered

What does Robby Stein say about the development of AI mode on The Product Podcast?

Robby Stein explains that AI mode in Google Search was built to handle complex, conversational queries. Early iterations were tested with small groups, and usage has scaled rapidly to 75 million daily active users by addressing unmet informational needs.

How did Instagram Reels overcome its initial failures, according to Robby Stein?

Initially launched as part of Stories, Reels struggled because creators wanted content to live longer and go viral. By making it a standalone product with features aligned to creators' goals, Instagram turned it into a global success.

What are the future plans for Google Search as discussed by Robby Stein?

Stein identifies three key areas: deeper integration of real-time data for personalized knowledge, conversational interaction across multiple modalities like voice and screenshots, and agentic experiences where AI proactively assists users.