What happens when the solution to information overload becomes so effective that it eliminates information creation itself? In this thought-provoking episode, we trace the evolution of web search from Yahoo's directory structure to Google's revolutionary PageRank, through the spam wars that nearly destroyed search results, to today's AI overviews that might be destroying the web itself.

Google's AI answers solve real problems—no more ads, no more clickbait, no more scrolling through fluff to find actual information. But there's an uncomfortable irony: the AI that gives us instant answers is trained on the same websites it's now making irrelevant. When users stop clicking through to original sources, the entire feedback loop that powers search begins to break down.

Drawing from personal experience as a content creator whose work now gets extracted into AI summaries that nobody clicks through to read, we explore the unintended consequences of convenience and ask uncomfortable questions about what we're trading away. This isn't just about website traffic—it's about the future of knowledge creation and sharing on the internet.

A fascinating look at how solving one problem perfectly can create entirely new ones we never saw coming.

"Google's AI is trained on the same web content it's now making obsolete. We create the content that's being fed back to us, but now there's no reason to visit the sources."

"We're witnessing something unprecedented: a search engine that's so good at extracting information from the web that it might kill the web itself."

"The web as we know it might be ending. And we're not just watching it happen—we're applauding it every time we get a convenient AI overview instead of clicking through to read the full story."