Quality Assurance (QA) is experiencing a significant transformation in 2020, driven by advancements in digital technologies and increased IT spending. Key automation testing trends include the anticipated release of Selenium 4, which offers enhancements like improved Docker support and relative locators, and the rise of codeless automation tools that leverage AI for test case creation without programming knowledge. Additionally, frameworks supporting multi-tier testing, such as Selenified, are gaining traction for their integration with DevOps environments. QAOps, a collaboration between QA and operations teams, is being adopted to streamline software delivery, while self-healing test automation, powered by AI and ML, is reducing test lifecycle times by adapting to changes in real-time. The shift towards distributed cloud platforms for cross-browser testing addresses scalability issues, and the combination of AI, ML, and hyper-automation tools is poised to enhance productivity by automating routine processes. As enterprises embrace shift-left testing for early defect detection, Selenium alternatives like Cypress.io are emerging due to their AI-driven capabilities, while the resurgence of tools like Selenium IDE hints at a renewed interest in record and playback testing. Overall, the integration of AI and ML into test automation tools is simplifying script maintenance and enabling faster, more reliable testing processes.