Google Is Reaping the Rewards of Its Unfair AI Advantage

With 2 billion monthly users in 200 countries, Google’s AI Overviews can claim to be the most popular generative artificial-intelligence product yet released to the public. The short summaries generated by the company’s Gemini AI model have turned Google from search engine to answer engine, settling the nerves of investors who were worried that ChatGPT was going to smash Google’s business model to pieces.

Then again, to describe those billions as “users,” as parent company Alphabet Inc. did when announcing its quarterly earnings last week, is perhaps disingenuous. No one consciously uses AI Overviews — it’s just there when users perform a regular search on Google, something billions of them have done several times a day for two decades. That’s one key advantage Google has over its competitors: People already associate the service with finding things out. The company has every right to capitalize on that reputation, one it built off the back of genuine innovation and quality (though, admittedly, it was later solidified with illegal multibillion-dollar deals to prevent competition).

Google’s second advantage with AI Overviews, however, warrants further scrutiny. Like other generative AI tools, the feature draws heavily from content that Google does not own but is available on the open web. Summarized answers are synthesized from one or more sources into a rewritten piece of information.

That’s useful for users; it saves them a click. But it’s devastating for content creators, who lose a would-be visitor and the revenues that follow. Startling Pew Research data released last week suggested users were considerably less likely to click through to websites if presented with an AI Overview, as is increasingly the case. One in five searches in a March 2025 sampling contained an AI Overview, a frequency that rises to as high as 60% if the queries are longer or contain the bread-and-butter words of journalism: who, what, where, when or why. (Google has pushed back against the methodology of the Pew study, saying its dataset — 68,879 searches by 900 US adults — was too small to be representative.)

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