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Mobile app testing faces challenges with traditional methods: manual testing is time-consuming, error-prone, and repetitive, while automated testing frameworks like Appium and Espresso require constant script maintenance and struggle with brittle tests and limited scope. AI-powered mobile app testing offers solutions by enhancing test specification, execution, and failure reporting. It streamlines test creation, adapts to UI changes, and provides detailed failure analysis. The integration of AI in testing reduces time, increases consistency, and supports cross-platform testing, offering significant benefits over traditional methods. Engineering teams considering AI adoption must evaluate time investment, team composition, and anticipated benefits, focusing on efficiency, reliability, and cost-effectiveness to improve mobile app quality and development processes.