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Google’s Search Reigns Supreme with New AI-Centric Leader

AI era at Google

In the long run, Google Search will likely resemble SGE more and more. It will swap links for answers more and more, and Reid has said that staying a good partner to the open web while also figuring out how to cite those answers is an ongoing problem. Even while Pichai and others have been proclaiming AI’s superiority for some time, they have urged patience as the firm works to refine and perfect this emerging technology. It appears that the AI era at Google might be here sooner than we expected, though, with Reid and Venkatachary now leading the project.

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Google’s Search team is undergoing a larger transition

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Being in charge of Google Search is one of the most important jobs at Google. Liz Reid, who has been at Google for over 20 years and has most recently been in charge of the company’s artificial intelligence search efforts, Search Generative Experience (SGE), has taken over that role. Google’s Search team is undergoing a larger transition, of which Reid’s rise is a component. Search is appointing Pandu Nayak, a veteran executive who has managed quality and rankings, to the position of chief scientist. His successor, Cheenu Venkatachary, has experience developing artificial intelligence technologies for Google Search as well. On the other hand, Google’s long-term bets team has hired Cathy Edwards, who oversaw extensive development of Google News and Google Discover.

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Google is betting on AI to dominate search in the future

Some may see this as nothing more than the usual office politics at work, with employees reorganizing their positions after serving for some time in one. The man in charge of Search, advertisements, Assistant, and a whole lot more, Prabhakar Raghavan, is still at the helm. One way to look at these changes is as another proof that Google is betting on AI to dominate search in the future. Everyone has learned, over the past quarter of a century, to stuff search boxes with keywords and get a load of ranked links as a result. You could instead use the Gemini model to find out what’s in an image and where to buy it in a world where multisearch is powered by AI. If you listen to your headphones, you could be surprised to hear a completely formed response emitted from the speakers.

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