{"id":7728,"date":"2026-04-08T23:09:47","date_gmt":"2026-04-08T23:09:47","guid":{"rendered":"https:\/\/globalnewstoday.uk\/index.php\/2026\/04\/08\/study-googles-ai-overviews-show-millions-of-wrong-answers-every-hour-popsci-com\/"},"modified":"2026-04-08T23:09:47","modified_gmt":"2026-04-08T23:09:47","slug":"study-googles-ai-overviews-show-millions-of-wrong-answers-every-hour-popsci-com","status":"publish","type":"post","link":"https:\/\/globalnewstoday.uk\/index.php\/2026\/04\/08\/study-googles-ai-overviews-show-millions-of-wrong-answers-every-hour-popsci-com\/","title":{"rendered":"Study: Google\u2019s AI Overviews show millions of wrong answers every hour – popsci.com"},"content":{"rendered":"

\t\t\t\t By<\/span> Andrew Paul<\/a><\/span><\/span> \t\t\t
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Aside from the hallucinations<\/a>, immense energy requirements<\/a>, and potentially negative mental health effects<\/a>, generative artificial intelligence<\/a> still has an issue with accuracy. However, that hasn\u2019t stopped major tech companies like Google from rolling out features like AI search summaries to its users. Most of the results seem fine at first glance and usually feature multiple source citations, but that doesn\u2019t mean the product works perfectly.
A recent study reported by the New York Times<\/em><\/a> found that Google\u2019s \u201cAI Overview\u201d offers correct and reputably sourced summaries 9 out of 10 times. But while 90 percent sounds like a passing grade, the failure rate adds up in a matter of minutes. Given that the company will process over five trillion<\/em> searches in 2026, the ensuing math means AI Overview is churning out tens of millions of questionable answers each hour. That\u2019s hundreds of thousands of errors every minute.
What\u2019s more, it\u2019s difficult to truly assess AI Overview\u2019s accuracy. An initially wrong response to a search query may transform into a correct summation when a user repeats the search a second time, making it basically impossible to anticipate. Google\u2019s decision to place the AI Overview tab at the top of most search result pages also means more people see it and can assume its reliability.
Part of the issue relates to the specific sites treated as sources. The study\u2019s authors at the open-source AI company Oumi<\/a> found that Facebook and Reddit were the second- and fourth-most-cited references for AI Overview. Accurate answers cited Facebook 5 percent of the time, while inaccurate responses cited the social media site 7 percent of the time. In other cases, AI Overview seems to misstate a reliable source when giving a wrong answer.
Then there is the problem of bad actors. Anyone who understands these bugs in the system can potentially game AI Overview into giving inaccurate statements. Hypothetically, a person could author a series of blog posts asserting flat-out wrong historical information, then artificially boost traffic to their website. Google\u2019s AI Overview may include the site in its source-scouring, fail to flag its inaccuracies, then generate a wrong answer.
\u201cOur Search AI features are built on the same ranking and safety protections that block the overwhelming majority of spam from appearing in our results,\u201d Google spokesperson Ned Adriance told the NYT<\/em><\/a>. \u201cMost of these examples are unrealistic searches that people wouldn\u2019t actually do.\u201d
At the very least, it\u2019s important to view tools like AI Overview with a heavy dose of skepticism for the conceivable future. One faulty response in every 10 answers may not seem too serious, but think about how many search queries you have already made today. Studies also already indicate that overreliance on this type of tech may not be great for overall cognitive abilities<\/a>. But if there is one thing you can trust, it\u2019s AI Overview\u2019s fine-print disclaimer:
\u201cAI can make mistakes, so double-check responses.\u201d
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Andrew Paul is a staff writer for Popular Science.
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By Andrew Paul Published Apr 8, 2026 3:19 PM EDT Get the Popular Science daily newsletter\ud83d\udca1Breakthroughs, discoveries, and DIY tips sent six days a week.Terms of Service and Privacy Policy.Aside from the hallucinations, immense energy requirements, and potentially negative mental health effects, generative artificial intelligence still has an issue with accuracy. However, that hasn\u2019t stopped […]<\/p>\n","protected":false},"author":1,"featured_media":7729,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":{"0":"post-7728","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-technology"},"_links":{"self":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts\/7728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/comments?post=7728"}],"version-history":[{"count":0,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/posts\/7728\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/media\/7729"}],"wp:attachment":[{"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/media?parent=7728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/categories?post=7728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globalnewstoday.uk\/index.php\/wp-json\/wp\/v2\/tags?post=7728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}