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Home » Google DeepMind CEO is ‘surprised’ OpenAI is rushing forward with ads in ChatGPT
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Google DeepMind CEO is ‘surprised’ OpenAI is rushing forward with ads in ChatGPT

adminBy adminJanuary 22, 2026No Comments4 Mins Read
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Google DeepMind CEO Demis Hassabis said he’s “surprised” that OpenAI has already moved to introduce ads within its AI chatbot. In an interview with Axios at Davos, the AI leader was responding to a question about using ads to monetize AI services, saying the idea is something that the team at Google was thinking through “very carefully.”

Hassabis also said that his team wasn’t feeling pressure from the tech giant to make “a knee-jerk” decision around advertising, despite how key ads are to Google’s core business.

The DeepMind co-founder’s remarks followed Friday’s news that OpenAI will begin testing ads as a way to generate additional revenue from the portion of the AI chatbot’s 800 million weekly active users who don’t have a paid subscription.

While OpenAI may have been forced to consider ads, considering its growing infrastructure and energy costs, its decision could change how users view the service.

“I’m a little bit surprised they’ve moved so early into that,” Hassabis said, referring to OpenAI’s adoption of ads. “I mean, look, ads, there’s nothing wrong with ads…they funded much of the consumer internet. And if done well, they can be useful,” he clarified.

“But in the realm of assistants, and if you think of the chatbot as an assistant that’s meant to be helpful — and ideally, in my mind, as they become more powerful, the kind of technology that works for you as the individual…there is a question about how ads fit into that model?… You want to have trust in your assistant, so how does that work?” he questioned.

Reiterating some early comments from another Davos interview, Hassabis also said that Google didn’t have “any current plans” to do ads in its AI chatbot. Instead, the company would monitor the situation to see how users respond.

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Of course, we’ve already seen consumer backlash to the idea of ads infiltrating people’s conversations with AI assistants. When OpenAI last month began exploring a feature that suggested apps to try during users’ chats, for instance, people reacted negatively, saying these suggestions felt like intrusive ads. Shortly after, OpenAI turned off the app suggestions, which it claimed were not actually ads as they had “no financial component.”

But whether or not money had exchanged hands was not what made users angry. Rather, it was how the app suggestions degraded the quality of the experience.

That’s something that also concerns Hassabis, his remarks suggested.

He explained that using a chatbot is a much different experience than using Google Search. With Search, Google already understands a user’s intent, so it can show potentially useful ads. Chatbots, on the other hand, are meant to become helpful digital assistants that know about you and can help you with many aspects of your life, he said.

“I think that’s very different from the search use case. So I think there, that has to be thought through very carefully,” he added.

Making Gemini more useful to each user is also the focus of newly launched personalization features announced today for Google’s AI Mode. Now, users can opt into having Gemini’s AI tap into their Gmail and Photos for tailored responses in Search’s AI Mode, similar to how Gemini’s app just added a Personal Intelligence feature that can reference users’ Gmail, Photos, Search, and YouTube history.

While personalized ad targeting is a business that sustains the free web, pushing an ad on the user while they’re in a conversation with an AI assistant can feel off-putting. It’s why customers rejected Amazon’s earlier attempts to infuse ads into its Alexa experience — they wanted an assistant, not a personal shopper hawking things for them to buy.

Hassabis said he wasn’t feeling top-down pressure to force ads into the AI product, either, though he admitted there may be a way to do them right later on.

“We don’t feel any immediate pressure to make knee-jerk decisions like that — I think that’s been the history of what we’ve done at DeepMind — is be very scientific, and rigorous, and thoughtful about each step that we take — be that the technology itself or the product,” he noted.



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