Google Says Ads in Gemini Remain Possible
Key Points
- Google is not ruling out ads in its Gemini AI product.
- Current ad experiments are taking place in AI Mode, a Search‑based experience.
- Ads are kept separate from organic results and must be clearly labeled.
- User relevance is the key factor; irrelevant ads will not be shown.
- Google’s strong revenue allows it to prioritize product quality over quick monetization.
- Personal Intelligence can pull data from Gmail, Photos, and Calendar but does not share it with advertisers.
- Insights from AI Mode will guide any future Gemini ad strategy.
- Industry peers like OpenAI and Anthropic are also testing or questioning AI ads.
Google’s senior vice president of knowledge and information, Nick Fox, told WIRED that the company is not ruling out advertising in its Gemini AI product. While the firm is testing ads in AI Mode, a Search‑powered experience, it says any future ads would be clearly labeled and relevant to users. Fox emphasized that Google’s strong financial position allows it to prioritize product quality over immediate monetization, and that lessons learned from AI Mode could inform any later Gemini ad strategy. The discussion also touched on the new Personal Intelligence feature and its potential impact on ad targeting.
Google’s Stance on Gemini Advertising
In a recent interview, Nick Fox, Google’s senior vice president of knowledge and information, clarified that the company has not dismissed the idea of placing ads within Gemini, its AI‑driven assistant. While Google executives have previously said there are no immediate plans, Fox said the firm is "not ruling them out" and that future decisions will be guided by user experience and relevance.
Testing Ads in AI Mode
Google is currently experimenting with ads in AI Mode, a Search product powered by Gemini. Fox explained that this environment allows the company to evaluate how ads interact with AI‑generated responses while keeping them separate from organic results and clearly labeled. The company’s principle is that ads should be useful, and if an ad is not relevant, it will not be shown.
Learning From Experiments
The insights gained from AI Mode experiments are expected to inform any potential ad implementation in the Gemini app. Fox noted that users have shown a preference for ads that are contextually relevant within Search, and the company intends to apply those learnings to future Gemini experiences.
Google’s Financial Leverage
Google’s strong revenue performance gives it flexibility to prioritize product development over immediate monetization. Fox highlighted that the business generated more than $400 billion in revenue in 2025, allowing the firm to focus on building a high‑quality consumer product before deciding on ad placement.
Personal Intelligence and Future Targeting
Google recently introduced Personal Intelligence, a feature that enables Gemini to draw on a user’s Gmail, Photos, and Calendar to deliver contextual answers. While this raises questions about ad targeting, Fox stressed that personal data remains private and is not sold to advertisers. The integration of Personal Intelligence into Search or Gemini is still under evaluation.
Industry Context and Competition
OpenAI has begun testing ads on the free tier of ChatGPT in the United States, prompting speculation about Google’s next steps. Meanwhile, Anthropic aired a Super Bowl commercial warning about the risks of ads in AI, and Perplexity announced a pause to its own ad experiments due to concerns over user trust. Google’s approach, according to Fox, relies on decades of experience in delivering relevant, non‑intrusive ads.
Looking Ahead
Fox described the broader vision for Search as a seamless, AI‑enhanced experience where users can ask any question and receive the most useful response, whether that includes a web link, news articles, or an AI‑generated answer. As AI Mode, AI Overviews, Gemini, and traditional Search continue to converge, the company will decide where and how ads fit into that ecosystem, always emphasizing relevance, quality, and user privacy.