Wednesday, June 17, 2026

Why Google Lagged in Deploying AI LLM

The AI companies lie to us all the time,
[10:46] [Bloomberg tv] You raise I think a really interesting point. I mean, was there any hesitation anywhere at Google to say, "We're doing pretty well in search. Why do we need to disrupt ourselves on this?" It's a sort of a form of innovators dilemma. Was there any sense of, you know what, we're doing pretty well, why rock the boat?

[Nick Fox, Google’s Senior Vice President of Knowledge and Information] Never. [music] Because because we've seen it before and we understand that if you stand still, if if you don't innovate for users, you'll become irrelevant. And and that's that's [music] so clear. We know that. We know that time and time again. And so we we see a new technology come along, we jump on it. [music] We invent the new technologies in most cases. But we see it, we jump on it and [music] and we know that if we innovate for users, it will be it will be expansionary.

No, this is false. About ten years ago, Google management was presented with the possibility that a Google Search question could be just answered directly instead of giving the user a list of links. About five years ago, OpenAI and Microsoft starting answering user queries directly. Google refused to do it, because it threatened the Google advertising model.

Google only put AI LLM answers into Search after ChatGPT and Bing were doing it for millions of users, and Google was getting left behind.

Some people think AI is an invention of the last several years. But it was in 2015 that Elon Musk cofounded OpenAI, based on a concern that Google might already have an insurmountable lead in AI technology that will dominate the future. Yes, Google did have a big lead, and still has some of the best technology. It was refusing to give AI Search answers, as a business decision to protect its advertising revenue.

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