Building for accessibility in an AI-first development world

LLM-based coding tools often generate inaccessible web interfaces by default, including bad heading structure, broken ARIA, and keyboard traps.

The article says this happens because models learn from an already inaccessible web, so AI can reproduce common accessibility failures at scale.

WebAIM and other data show web accessibility remains widely broken, with major sites and apps still failing WCAG checks.

Experts like Mike Paciello say developers must test AI-generated code for accessibility and prioritize WCAG compliance before release.

The risks are real: inaccessible code can exclude disabled users and increase legal exposure as accessibility lawsuits rise.