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Amazon Shifts AI Leadership Amidst Catch-Up Efforts

AI Amazon AGI Tech Artificial Intelligence Leadership Peter DeSantis
December 17, 2025
Viqus Verdict Logo Viqus Verdict Logo 7
Strategic Reconfiguration
Media Hype 6/10
Real Impact 7/10

Article Summary

Amazon’s leadership in artificial general intelligence (AGI) is undergoing a significant change as Rohit Prasad exits his role as head of the AGI team. CEO Andy Jassy announced the move, placing Peter DeSantis, a senior VP at Amazon Web Services, at the helm of a new division encompassing advanced AI models, chip development, and quantum computing. This decision comes as Amazon attempts to accelerate its AI ambitions and address concerns about lagging behind competitors like Microsoft and OpenAI. Prasad, who played a key role in the development of Alexa and the launch of the Nova AI models, recently expressed skepticism regarding the reliance on traditional AI benchmarks. The move highlights Amazon's evolving approach to AI development and its determination to establish a stronger foothold in the rapidly advancing field. This shift represents a renewed focus on internal innovation and a strategic realignment of resources.

Key Points

  • Rohit Prasad is stepping down as head of Amazon’s AGI team.
  • Peter DeSantis will lead a new division focused on AI models, chips, and quantum computing.
  • The move reflects Amazon’s efforts to catch up with competitors in the rapidly advancing AI landscape.

Why It Matters

This news is significant because it demonstrates a clear acknowledgment from Amazon that it has been playing catch-up in the AI race. The shift in leadership and the expanded scope of the new division indicate a serious commitment to accelerating AI development and challenging the dominance of companies like OpenAI. For professionals in technology, AI, and business, this development provides valuable insights into the competitive dynamics of the AI industry and Amazon's strategic direction. Furthermore, the skepticism expressed by Prasad regarding AI benchmarks is a critical commentary on the limitations of current evaluation metrics.

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