In recent years artificial intelligence has exponentially evolved and it is now part of our daily life. Moreover, AI is revolutionizing engineering processes across industries, including the aerospace industry such as AIRBUS. This paper explores how AI is transforming stress analysis in composite structures at Airbus, enabling improving efficiency and keeping accuracy at the requested level. Traditional methods of calculating composite stress rely heavily on iterative, time-intensive processes that demand significant computational resources and expert oversight. By integrating advanced AI algorithms—such as machine learning and neural networks—into these workflows, Airbus is not only accelerating the analysis but also enhancing predictive accuracy and design optimization. Key advancements discussed include the development of AI-driven tools for automating finite element analysis, optimizing laminate configurations, and predicting failure modes with minimal human intervention. The presentation will detail practical applications, challenges in AI adoption, and future prospects for AI in aerospace composite stress analysis. This paradigm shift showcases how AI is not just a tool but a catalyst for innovation in structural engineering.