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TL;DR: AI is a genuine accelerator for accessibility: it catches contrast and labeling problems early, drafts alt text and clearer copy, and explains WCAG in plain language. What it can't do is replace testing with real assistive technology and disabled users. Use it to clear the obvious issues fast, then validate with the people who actually rely on accessible design.
Accessibility work is part judgment, part tedious checklist. AI is excellent at the checklist part — the repetitive auditing and drafting — which frees you to spend your attention on the judgment calls that matter.
Hand an AI a screenshot and ask it to flag low-contrast text, tiny tap targets, and unclear focus states. It won't replace a formal audit, but it catches the obvious failures while they're still cheap to fix.
Describe an image's purpose and context, and AI will draft alt text that conveys meaning rather than just naming objects. Always edit for intent — alt text should say why the image matters, not just what's in it.
Clear language is an accessibility feature. Use AI to simplify jargon, shorten sentences, and make error messages and instructions easier to follow for everyone, including users with cognitive disabilities.
WCAG is dense. AI is a fast way to turn a specific success criterion into a plain explanation with concrete examples — useful for getting a whole team aligned on what to actually do.
It cannot experience a screen reader, navigate by keyboard the way a real user does, or feel the friction a motor-impaired user feels. Automated checks catch only a fraction of real accessibility issues. The rest requires testing with assistive tech and disabled users — that's non-negotiable.
Can AI make my product fully accessible? No. It accelerates the obvious fixes; real compliance and usability require human testing with assistive technology.
Is AI-generated alt text good enough? As a first draft, yes — but edit it for purpose and context.
Carlos Lastres is an Apple Design Award–winning product designer and software engineer in Tokyo who works hands-on with AI tools to design conversion-focused products.