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Home Market dynamics

Amazon is once again adjusting its AI strategy! Veteran Peter DeSantis is in charge of AGI models and in-house chip development, while the former head of Alexa has announced his departure.

Author: Mash Yang
2025-12-21
in Market dynamics, Life, network
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In order to gain a better vertical integration advantage in the fiercely competitive generative AI battle, Amazon CEO Andy Jassy earlier issued an internal memo...Announcement of major organizational reorganizationAmazon will establish a new core organization to take unified responsibility for the company's highest-level AI models (including the Nova series of self-developed models and the AGI team), self-developed chip development (Graviton, Trainium, Nitro), and quantum computing business.

Amazon is once again adjusting its AI strategy! Veteran Peter DeSantis is in charge of AGI models and in-house chip development, while the former head of Alexa has announced his departure.

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This new organization, which will control the future technological lifeline of Amazon, will be led by Peter DeSantis, a veteran who has worked at Amazon for over 27 years, and will report directly to CEO Andy Jassy. Meanwhile, Rohit Prasad, who has led the AGI team and developed the Nova model for the past two years, and is the former head of Alexa, has confirmed his departure at the end of this year.

Veteran Peter DeSantis returns to the core, overseeing both model development and chip manufacturing.

Peter DeSantis was the head of Amazon EC2 when it launched in 2006 and led key initiatives in 2015.Annapurna Labs AcquisitionThis laid the foundation for Amazon's later success in launching its own chips such as Graviton and Trainium.

The core logic behind this reorganization lies in "optimization." With Amazon recently releasing its self-developed Nova 2 model at the re:Invent conference, coupled with a surge in demand for self-developed chips, Andy Jassy believes that integrating "models," "chips," and "cloud infrastructure" under the same leadership can unleash greater potential.

Peter DeSantis, who previously led AWS Global Infrastructure and Utility Computing, is considered the best candidate to perfectly combine technology with large-scale operations.

Pieter Abbeel takes the lead in cutting-edge models; Rohit Prasad retires.

In terms of personnel changes, in addition to Peter DeSantis being promoted to head of the new organization, Amazon also announced that AI researcher and Covariant co-founder Pieter Abbeel will lead the Frontier Model Research Team within the AGI division, responsible for building foundational models. Pieter Abbeel is well-known in the fields of generative AI and reinforcement learning (especially for robotics applications), and he will continue to collaborate with Amazon's robotics team in the future.

However, Rohit Prasad, who joined Amazon in 2013, single-handedly transformed Alexa from a concept into a product with hundreds of millions of users, and led the AGI team and Nova's self-developed model development over the past two years, has decided to leave Amazon at the end of this year. In his letter, Andy Jassy thanked Rohit Prasad for building a strong team and culture, and for successfully launching the price-competitive Nova model.

Analysis: A full-scale war from "voice assistants" to "underlying computing power"

In my opinion, this personnel and organizational reshuffle sends two strong signals.

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First, Rohit Prasad's departure symbolizes the end of an era. After the rise of generative AI, Amazon was once criticized for being too slow. Although Rohit Prasad later took over the AGI team and launched the Nova self-developed model, Amazon clearly believes that a stronger "infrastructure mindset" is needed to fight this battle in the AI ​​arena.

Secondly, Peter DeSantis's appointment signifies Amazon's determination to take a "hardcore" approach. Unlike Microsoft or Google, which are led by AI scientists, Amazon chose a seasoned infrastructure expert with expertise in chips, data centers, and the hardware supply chain to oversee AI. This demonstrates Amazon's pragmatic strategy: they not only want to create the smartest AI, but also the fastest, lowest-cost, and most integrated AI.

By bringing Trainium (chips) and Nova (models) under the same person in charge, Amazon expects to achieve a high degree of hardware and software integration, similar to Apple. This will be a key step in competing with NVIDIA's chip ecosystem or reducing AI computing costs for AWS customers.

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Tags: AGIGravitonNitro V 14NovatrainiumAmazon
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Mash Yang

Mash Yang

Founder and editor of mashdigi.com, and student of technology journalism.

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