The text discusses the limitations of AI in replacing accessibility testers. While AI can automate some tasks, it struggles with tasks requiring contextual understanding, such as interpreting false positives in automated testing, verifying screen reader output, and assessing the adequacy of error messages and alt text. The author categorizes accessibility tasks based on AI’s potential impact, highlighting that many tasks still require human expertise.

AI can assist accessibility professionals by automating tedious tasks, catching obvious violations, and generating first drafts of documentation. However, it cannot understand context, make judgement calls, or advocate for users, making human expertise essential for ensuring truly accessible designs and experiences. While AI can be a valuable tool, it should be viewed as a supplement to human expertise, not a replacement.