AI is transforming software testing in 2025—making it faster, smarter, and more reliable. For new QA professionals, AI-powered tools are shifting the role from repetitive test execution to strategic oversight. From auto-generating and self-healing test cases to predictive defect detection, AI enhances efficiency while reducing errors. But it also brings challenges like setup complexity, data security, and the need for critical validation. This starter guide breaks down the benefits, challenges, and types of AI testing tools, while highlighting how beginners can adapt their skills for career growth in the AI-driven QA landscape.