AI and Machine Learning (ML) revolutionize test automation by enhancing script generation, execution, and maintenance. AI-driven tools automatically create and adapt test scripts based on application changes, reducing manual effort and maintenance. ML algorithms identify patterns and predict defects, improving test accuracy. These technologies also optimize test execution by prioritizing critical tests and managing test data effectively. In agile and DevOps environments, AI and ML provide the agility needed for frequent updates, ensuring comprehensive coverage and faster delivery. Integrating AI and ML into test automation leads to smarter, more efficient, and scalable testing processes.