AI Search: Confidently Wrong, Dangerously Inaccurate
If AI search engines were students, they’d be the ones confidently shouting wrong answers in class. Loud enough to convince everyone they were right.
Generative search tools are failing at the basic principle of knowledge: citing sources accurately. And it’s a bigger problem than you think.
AI search engines are reshaping how we access information, but their accuracy problem is getting worse. A Tow Center for Digital Journalism study testing eight AI search tools found that over 60% of their responses were incorrect, often citing fabricated URLs or misattributing sources.
Even premium models performed worse, delivering more incorrect answers with greater confidence than free versions. Worse still, some AI tools ignored publisher restrictions and pulled data from sites that had explicitly blocked them.
If AI search engines can’t even cite properly, how can we trust them to replace traditional search? Are we creating an ecosystem where misinformation feels more credible than truth?
Read the full article on Colombia Journalism Review.
----
💡 If you enjoyed this content, be sure to download my new app for a unique experience beyond your traditional newsletter.
This is one of many short posts I share daily on my app, and you can have real-time insights, recommendations and conversations with my digital twin via text, audio or video in 28 languages! Go to my PWA at app.thedigitalspeaker.com and sign up to take our connection to the next level! 🚀