DeepMind CEO questions OpenAI’s fast move to Ads in ChatGPT

Sir Demis Hassabis, Chief Executive Officer of DeepMind, has publicly expressed surprise at how quickly OpenAI has moved to introduce advertising

At Davos, Demis Hassabis highlights trust and user experience as key considerations in AI monetisation

Sir Demis Hassabis, the Chief Executive Officer of DeepMind, has publicly expressed surprise at how quickly OpenAI has introduced advertising into its flagship chatbot, ChatGPT.

Speaking at Davos at the World Economic Forum, Hassabis described the decision to roll out ads as notable because of the different approaches to monetisation and user trust in conversational AI between DeepMind and Google’s AI teams.

“It’s interesting they’ve gone for that so early,” he said when asked about OpenAI’s advertising strategy. He added that ads have long supported the broader web economy, but integrated advertising within an AI assistant raises distinct questions about user experience and trust.

A Different Approach to Monetisation

Hassabis emphasised that DeepMind and Google are thinking “very carefully” about how and when advertising should play a role in AI products. According to him, the architecture of a helpful assistant differs fundamentally from a search engine, where ads naturally align with explicit user queries.

In contrast to OpenAI’s current path, Hassabis noted that Google’s own AI assistant, Gemini, does not have plans to incorporate ads at this stage. The focus instead remains on maintaining user trust and developing core capabilities before exploring monetisation options.

For Hassabis, the sequence matters. Placing revenue features too early could change how users perceive and interact with AI assistants — from a trusted helper to a commercial platform.

Trust as a Defining Factor

The comments reflect a broader industry debate on how the next generation of AI services should balance the need for sustainable business models with user experience and credibility. While advertising has been foundational to the consumer internet, embedding it into conversational AI could risk undermining the implicit promise of a responsive, user-centric assistant.

Hassabis’s remarks suggest that securing user trust — especially as AI grows more capable and more central to everyday tasks — must be carefully weighed against short-term revenue goals.

Implications for the AI Ecosystem

OpenAI’s decision to begin testing advertisements in ChatGPT — primarily among free and lower-tier users — is part of a broader effort to diversify revenue as the costs of developing and running large AI models escalate.

Yet, as Hassabis pointed out, there remains a clear divergence in strategies among leading AI developers. While some companies are experimenting with ads as a monetisation lever, others are prioritising long-term trust and product experience.

For organisations building AI systems, this debate underlines a key challenge: delivering commercial viability without compromising the core value proposition of an assistant that users feel confident relying on.

As the AI landscape continues to evolve, the choices made by leading organisations over how and when to monetise will play a significant role in shaping user expectations and industry norms.

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