Amazon is restructuring its artificial intelligence leadership as longtime executive Prasad departs the company, making way for a new leader to oversee a broader and more integrated AI organization. Prasad, a key figure in Amazon’s AI development for over a decade, is leaving the company after playing a central role in advancing the company’s machine learning infrastructure and large-scale AI systems. In his place, DeSantis, a senior leader with deep experience in AI and cloud computing, has been promoted to lead a newly expanded group that unifies several critical technology areas. The reorganized team now includes responsibility for Amazon’s core AI models, custom AI chips like the Inferentia and Trainium series, and the company’s quantum computing research efforts. The move signals Amazon’s intent to strengthen its AI strategy by bringing together foundational technologies under a single leadership structure. This integration is expected to accelerate innovation across the company’s cloud, retail, and enterprise platforms, where AI is increasingly central to product development and customer experience. DeSantis, who previously led key initiatives in machine learning and cloud-based AI services, is seen as well-positioned to drive cross-functional collaboration and scale Amazon’s AI capabilities. His appointment comes at a time when Amazon is facing intense competition from Microsoft, Google, and Meta in the race to build the most powerful and efficient AI systems. The leadership shift also reflects Amazon’s broader effort to consolidate and streamline its AI operations, ensuring faster decision-making and more cohesive execution. As the company continues to invest heavily in generative AI, custom hardware, and next-generation computing, the reorganization is expected to play a key role in maintaining its competitive edge.