Google is envisioning a future where almost every interaction you may have with the internet is hyper-personalized for you.
According to Google’s VP of product for Search, Robby Stein, most people use AI products not for general factual information but more so for advice and recommendations.
“They want to know where to eat for dinner, they want to know where to travel with their family,” Stein told the Limitless podcast last week. “So we think there’s a huge opportunity for our AI to know you better and then to be uniquely helpful because of that knowledge.”
For AI to get a better understanding of you, Stein says Google’s AI models would use connected services like Gmail so that it could paint a detailed picture of your likes and dislikes over time. Thanks to that, for example, the AI can serve you up targeted product releases that you might like.
AI is an existential topic for Google Search. Earlier this year, a judge ruled in favor of Google in an antitrust trial over its Search business, saying that “for the first time in over a decade,” AI made it so that “a product could emerge that will present a meaningful challenge to Google’s market dominance.” Google, it seems, might be seeing where the judge comes from as the tech giant ramped up its AI efforts, unveiling its latest Gemini model to great success and integrating it across the entire Google ecosystem.
Gemini is already integrated with Google Workspace apps like Gmail (where you’re personal correspondences), Calendar (which knows what you do, when, and where), and Drive (which may have your work documents or your personal photos). It is also available on Google Maps, YouTube, WhatsApp, Spotify, you name it.
The company also launched a new Chrome browser in September with Gemini integration throughout, including an agentic AI that can navigate the web and complete tasks on your behalf.
Stein’s vision of an internet that knows a lot about you is one where your interactions with Google won’t be confined to the specific instances you use the search engine, but rather as ongoing conversations. The example he gives is, say, you’re looking for a couch for your apartment. You’re going to gradually feed your AI information on what kind of couch you might be looking for, whenever it might pop into your head. The AI would remember these scattered bits of information, and more that it gathers from you via previous conversations and your activity on connected apps. And then one day, the perfect couch you are looking for goes on sale, and boom, the AI serves it up to you, perhaps via a push alert.
“I think that’s more of how I think of the future of search than any one specific feature or single form factor,” Stein said.
Of course, some parts of the Google search experience would stay non-personalized, even in this vision, like when you go on the internet to look for simple, factual information, such as the height of the Empire State Building. But that’s not likely the majority, according to the Google executive.
“It’s almost weird not to personalize it,” Stein said.
This hyper-personalization would also be super beneficial for the company’s ad business. Stein announced just a few weeks ago that Google had “started some experiments on ads within AI Mode and within Google AI experiences.” AI-enhanced targeted ads are the name of the game, seeing that Google’s biggest digital ads competitor, Meta, announced its own foray into it just recently.
Google’s business decisions are consequential for the entire web as the company’s products hold the power to alter the way we interact with the internet. Their search engines are the average user’s gateway to the internet; meanwhile, the company’s AI business is making great strides and outperforming competitors.
Personalization sounds great on paper, and it promises to make life easier on multiple fronts. But, like many other technological advancements of our day and age, it undeniably comes with risks. The more an AI system knows about you, the bigger the security risk of any potential data breach or sale becomes.
Even OpenAI CEO Sam Altman has admitted the risks of letting AI models learn all about you.
“There’s two things that people really love right now that taken together are a real security challenge. Number one, people love how personalized these models are getting,” Altman told Stanford University professor Dan Boneh last month. “And then number two is you can connect these models to other services.”
You can’t trust AI with this information the way that you could trust a fellow human, Altman said.
“If you tell your spouse a bunch of secrets, you can sort of trust that they will know in what context… what to tell to other people. The models don’t really do this very well yet,” Altman said. “So if you’re telling a model all about your private healthcare issues, and then you have it buying something for you, you don’t want that e-commerce site to know about all of your health issues.”
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