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'Existential crisis': how Google's shift to AI has upended the online news model

The Guardian

When the chief executive of the Financial Times suggested at a media conference this summer that rival publishers might consider a "Nato for news" alliance to strengthen negotiations with artificial intelligence companies there was a ripple of chuckles from attendees. Yet Jon Slade's revelation that his website had seen a "pretty sudden and sustained" decline of 25% to 30% in traffic to its articles from readers arriving via internet search engines quickly made clear the serious nature of the threat the AI revolution poses. Queries typed into sites such as Google, which accounts for more than 90% of the search market, have been central to online journalism since its inception, with news providers optimising headlines and content to ensure a top ranking and revenue-raising clicks. But now Google's AI Overviews, which sit at the top of the results page and summarise responses and often negate the need to follow links to content, as well as its recently launched AI Mode tab that answers queries in a chatbot format, have prompted fears of a "Google zero" future where traffic referrals dry up. "This is the single biggest change to search I have seen in decades," says one senior editorial tech executive.


I switched my search engine to DuckDuckGo, and it made Google better

PCWorld

I've been trying to disentangle my online life from Google for a while. And as someone who wrote about Android professionally for years, it hasn't been easy. I've ditched Chrome, but I still use a Samsung Galaxy phone and Google Pixel Watch, for example. But when I finally got off the big daddy, Google Search, and switched to DuckDuckGo, it had a surprising effect: Google got better. That's a broad statement, so let me be more particular right away.


What to Expect From Google AI: Neural Matching, Google Discover, and More - Ignite Visibility

#artificialintelligence

Google recently announced they've started using a "neural matching" algorithm to better understand overall concepts and search queries. According to a Tweet by Google's Danny Sullivan, this neural matching algorithm is affecting 30% of searches. Sullivan explains that this AI algorithm is used to better connect words to concepts. Which basically means Google's gotten a lot better at understanding synonyms (or as Sullivan calls them, "super synonyms"). For example, ever heard of something called the "soap opera effect?"