AI test automation is becoming increasingly important in the future of automated testing as it eliminates traditional approaches and introduces new possibilities for efficient testing. The role of AI testing focuses on automating test management, creating test cases automatically, generating test code, and performing codeless tests. To make AI-powered applications work, developers need to define specific goals for their AI bots, train them to process input data by asking questions, and continuously strengthen algorithms to recognize patterns and behaviors. Despite its potential, AI testing still faces challenges such as identifying the right algorithms, collecting sufficient data, and dealing with repetitive tasks. As AI continues to integrate into our lives, automated software testing is on the edge of dramatic change, and AI test bots are poised to play a significant role in this transformation.