Axe vs. Claude: Should You Build Your Own AI Accessibility Tester?

Your team already has a frontier LLM and axe-core, so why not have AI do your accessibility testing? We put that question to the test by running do-it-yourself AI approaches and Deque’s Axe tools on the same pages many times over and scoring them against an expert human audit. We’ll share what we found on the four things that decide whether a tester belongs in your pipeline: consistency from run to run, accuracy (false alarms and missed issues), speed, and cost. You’ll leave with a clear picture of where AI shines and where the Axe engine needs to sit underneath it.