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AI can help accessibility, but only with limits.
AccessAI starts from the scale and repetition of the same accessibility failures across the web.
AI can reduce friction by helping apply a user's own preferences more consistently. It cannot replace standards, testing, or human verification.
WebAIM 2026
95.9% of the top one million home pages had detectable WCAG 2 failures.
The automated analysis found 56.1 accessibility errors per page on average, up 10.1% from 2025.
Recurring failures
Six error types account for about 96% of detected issues.
Contrast, missing alt text, missing form labels, empty links, empty buttons, and missing document language keep returning.
Who it affects
More than 1 in 4 U.S. adults report having a disability.
That scale is why accessibility cannot depend on each person reconfiguring every website from scratch.
AI limits
Fluent descriptions can still be wrong.
AI image descriptions can be useful, but they still need review because they can misread text or invent details. Accessibility tools need visible limits.