How Multimodal AI Is Changing Search | Google’s VP of Product Robby Stein
How Multimodal AI Is Changing Search | Google’s VP of Product Robby Stein
Podcast45 min 56 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Alphabet (GOOGL) is well-positioned to capitalize on the shift to AI, which is viewed as a major growth opportunity rather than a threat to its core search business. Investors should note key performance indicators like the 70% year-over-year growth in visual searches, signaling that its AI strategy is successfully capturing new user behavior. The company's competitive advantage is secured by its vast proprietary data and advanced Gemini AI models, creating a strong defense against competitors. Concerns about monetization appear overstated, as Google is actively developing new ad formats for its evolving AI-driven search experience. A key factor to monitor is the strategic partnership with Apple (AAPL), as its continuation is crucial for maintaining Google's dominant market distribution.

Detailed Analysis

Alphabet Inc. (GOOGL)

  • The entire discussion focuses on Google's strategic shift in its core Search product, driven by multimodal and conversational AI. The company is moving beyond the traditional "10 blue links" to an interactive, AI-powered experience.
  • AI is viewed as expansionary, not a threat. A key theme is that AI is increasing user engagement and the number of queries.
    • People are asking longer, more complex questions that were previously too difficult to type into a search box. These types of queries are up 10% year-over-year in large markets like the U.S.
    • Visual searches using tools like Google Lens are growing rapidly, up 70% year-over-year. This indicates Google is successfully capturing new types of search behavior.
  • Google's Competitive Advantage (The "Moat"): The company believes it has unique strengths that competitors cannot easily replicate.
    • Proprietary Data: Google's AI models (Gemini) are connected to vast, real-time data sources, including its shopping catalog, local business information, knowledge base (trillion facts), and live financial and travel data.
    • Superior Technology: Decades of work on image recognition give Google an edge in visual search. Its models can understand context within an image (e.g., "the plant on the bottom shelf behind you") in a way that is difficult for others to match.
    • Search Signals: Google's deep understanding of what search results users find helpful allows its AI to provide more relevant and higher-quality answers.
  • Evolving Business Model: The core advertising model is expected to adapt to the new AI formats.
    • History shows that as formats change (e.g., the shift to mobile or video), new and effective ad types emerge. The same is expected for conversational AI.
    • AI can unlock new commercial opportunities. By helping users with complex research (e.g., buying a safe or a mattress), Google can guide them further down the purchasing funnel, creating more value for advertisers.
    • The company's policy is that ads will be clearly labeled and will not influence the organic, unbiased results from the AI.

Takeaways

  • Bullish Sentiment: The interview presents a strong, optimistic case for Google's ability to navigate the shift to AI. The executive frames AI not as a risk to the core business, but as the next major growth engine.
  • Growth Beyond Search: Investors should look at growth in new query types (visual, conversational) as key performance indicators. The 70% YoY growth in visual search is a powerful signal that the strategy is working.
  • Durable Competitive Moat: Google's unique combination of real-time data, user search signals, and advanced AI technology creates a strong defense against competitors like OpenAI and others who may have powerful models but lack Google's deep integration with the web and user intent data.
  • Monetization is Adapting: Concerns about AI breaking the ad model may be overstated. Google is actively experimenting with new ad formats for AI-driven search and sees a clear path to integrating ads in a way that is natural to the new conversational experience.

Investment Themes & Competitive Landscape

  • The Future of Search & AI: The conversation highlights the battle for the future of information discovery. The key players mentioned are Google, OpenAI, Meta (META), and XAI (Grok). The central idea is that the interface is moving from a simple text box to a "conversation" that can be initiated via text, voice, or images.
  • Hardware's Role: The importance of consumer hardware is discussed as a potential new frontier for AI interaction.
    • Meta is mentioned for its efforts with smart glasses.
    • OpenAI is rumored to be working on a consumer device.
    • Google's strategy appears to be more software-focused and ubiquitous, aiming to have its services available on any device, with a particular focus on the smartphone ("the best camera is the one in your pocket").
  • Key Partnerships: The relationship between Google and Apple (AAPL) is highlighted as strategically important. Google being the default search engine on Safari is a massive distribution channel that is crucial for maintaining its market position.

Takeaways

  • Monitor the Competition: While Google presents a strong case, investors should keep an eye on competitors. A breakthrough in hardware from Meta or OpenAI could shift user behavior. The quality of competing AI models like Grok is also a factor to watch.
  • The Smartphone is Still King: Google's strategy of integrating advanced AI into existing smartphone behaviors (taking photos, using apps) may be a lower-risk, higher-reward approach than trying to create a new hardware category from scratch. This leverages the billions of devices already in users' hands.
  • The Apple-Google Partnership is a Bellwether: Any change to the deal making Google the default search on Apple devices would be a significant event for GOOGL investors. This partnership is a cornerstone of Google's distribution strategy.
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Episode Description
Google Search used to be “type a few words, get 10 blue links.” In this episode of Limitless, VP of Product Robby Stein joins Josh and Ejaaz to unpack how AI is quietly blowing up that mental model, and turning search into a multimodal, conversational system that can see, listen, and even act on your behalf. Robby explains why AI is “expansionary” rather than cannibalistic, how Gemini-powered models now issue their own Google searches and query live graphs behind the scenes, and why visual search via Lens is one of the fastest-growing ways people interact with the web. Along the way, he shares lessons from shipping Instagram Stories, digs into agents that can book your restaurant table or research the right safe for your documents, and talks candidly about ads, publisher traffic, and the responsibility that comes with sitting at the internet’s front door. ------ 🌌 LIMITLESS HQ: LISTEN & FOLLOW HERE ⬇️ https://limitless.bankless.com/ https://x.com/LimitlessFT ------ TIMESTAMPS 0:00 Intro 0:56 AI-Driven Evolution of Search 3:26 From Blue Links to AI Overviews 7:58 Conversational Search as the New Mental Model 10:58 Agents, Reservations & Doing Things For You 14:15 Is AI Cannibalizing Search, or Growing It? 16:52 Hardware, Glasses & Where Search Lives 18:40 Under the Hood of Gemini-Powered Search 21:46 Instagram Stories, Product Taste & Don’t Flip the UX Table 26:15 Google’s Unique Edge vs. Other AIs 28:14 Monetization and Advertising in AI Search 30:25 Ad Principles and Experiments 32:56 Integration of Gemini and Search 36:04 How Gemini & Google Search Actually Work Together 39:58 Personalized Recommendations and Transparency 43:40 Future Vision of Search Across Devices 46:21 Closing Thoughts ------ RESOURCES Robby Stein https://x.com/rmstein  ------ Not financial or tax advice. See our investment disclosures here: https://www.bankless.com/disclosures⁠
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Limitless: An AI Podcast

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