he web is in crisis, and artificial T intelligence is to blame.
For decades, seeking knowledge online has meant googling it and clicking on the links the search engine offered up. Search has so dominated our information-seeking behaviors that few of us ever think to question it anymore.
But AI is changing all of that, and fast. A new generation of AI-powered "answer engines" could make finding information easier, by simply giving us the answers to our questions rather than forcing us to wade through pages of links. Meanwhile, the web is filling up with AI-generated content of dubious quality. It's polluting search results, and making traditional search less useful.
The implications of this shift could be big. Seeking information using a search engine could be almost completely replaced by this new generation of large language model-powered systems, says Ethan Mollick, an associate professor at the Wharton School of the University of Pennsylvania who has lately made a name for himself as an analyst of these Als.
This could be good for consumers, but it could also completely upend the delicate balance of publishers, tech giants and advertisers on which the internet as we know it has long depended.
AI agents help cut through the clutter, but research is already suggesting they also eliminate any need for people to click through to the websites they rely on to produce their answers, says Mollick.
Without traffic, the business model for many publishers-of providing useful, human-generated information on the web-could collapse.
Over the past week, I've been playing with a new, free, Al-powered search engine-slash-web browser on the iPhone, called Arc Search. When I type in a search query, it first identifies the best half-dozen websites with information on that topic, then uses AI to "read" and summarize them.
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