AI in Test Automation: Overcoming Challenges and Embracing Imperatives
Sheela Dubey · 2025
Artificial Intelligence (AI) has become a transformative force in software testing and quality assurance. While traditional test automation accelerates release cycles, it often struggles with scalability, flaky tests, and high maintenance overhead. AI-powered test automation addresses these gaps through adaptive, context-aware, and self-healing capabilities. However, organizations encounter challenges such as data dependency, skill shortages, and explainability issues. This paper discusses the role of AI in test automation, identifies real-world adoption challenges, and highlights imperatives for successful implementation. Real-world examples from industries such as ecommerce, banking, and healthcare demonstrate how AI-driven testing reduces failures and enhances efficiency.