The adoption of agile methodology has led to a significant increase in product development, requiring companies to test and validate their products within a short timeframe. AI is poised to revolutionize test automation by automatically creating and maintaining tests, reducing the need for manual effort and increasing accuracy. By leveraging machine learning techniques, AI can analyze production data to identify patterns and generate tests that are more consistent and standardized. Additionally, AI can adapt to changes in the product and update tests accordingly, making it an ideal solution for continuous integration and delivery. While there may be a significant upfront investment required to implement AI-powered testing tools, organizations that already utilize AI/ML technologies can benefit from investing in software testing, as they will be well-positioned to capitalize on this emerging market.