QA Automation in 2026 and Beyond: How AI Is Transforming Software Testing
QA automation is undergoing its biggest shift since Selenium was introduced in 2004 by Jason Huggins at ThoughtWorks. AI-powered testing tools can now write test cases, detect visual regressions, self-heal broken selectors, predict high-risk code areas and generate realistic test data — all without manual scripting. This guide covers the current state of QA automation, the AI tools reshaping it, and what the future holds for QA engineers.