AI is a nightmare for QA
Outside of automated API test development (which AI is extemely good at generating), our toolkit from 2020 looks roughly the same in 2026. AI-driven tests eat tokens, are slower, and are more flaky than Playwright’s runtime-resolved locators.
Manual testing is becoming a bottleneck that leadership doesn’t want to hear about. The pile of tickets in the QA column seems to grow every day, to the point that manual testers physically cannot keep up.
We have decided to now only selectively QA certain tickets, mostly new features. Bug fixes are not QA’d unless critical. The devs are basically just prompting an AI opening a PR and putting all of the difficult work on QA. The "does it actually work right" seems to be our responsibility now.
How are other people’s teams keeping up with the piles of slop that keep getting dumped on them? My manual testers are getting burned out. My SDETs are feeling slow and useless. How are other organizations adapting?
Edit: to be clear, I am talking about QA of enterprise SaaS. Not a vibe coded website.