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AudioEye study finds AI coding tools fail to meet WCAG 2.2 AA accessibility standards

PUBT·09/30/2026 12:33:51
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AudioEye study finds AI coding tools fail to meet WCAG 2.2 AA accessibility standards
  • AudioEye analysis found leading AI coding tools failed to produce WCAG 2.2 AA-compliant websites, despite prompts to meet the standard.
  • Tests across 15 AI-built sites logged 306 distinct accessibility issues, recurring more than 59,000 times; 91% were medium or high severity.
  • AI-built pages averaged 55 issues per page, close to the 62 average in AudioEye’s 2026 Digital Accessibility Index.
  • Survey data showed 81% of developers trust AI-generated code for accessibility, while 73% reported more accessibility complaints post-adoption.
  • Legal exposure appeared elevated: 46% reported a demand letter or lawsuit; 71% linked complained-about pages to AI tool use.


Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. AudioEye Inc. published the original content used to generate this news brief via PR Newswire (Ref. ID: 202609300830PR_NEWS_USPR_____LA60000) on September 30, 2026, and is solely responsible for the information contained therein.