Jeff Bezos's Project Prometheus AI lab closes $10 billion round at $38 billion valuation

Reviewed byNidhi Govil

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Jeff Bezos has returned to an operational role for the first time since leaving Amazon in 2021, co-leading Project Prometheus with Google veteran Vik Bajaj. The artificial intelligence lab has closed a $10 billion funding round at a $38 billion valuation, attracting investors like JPMorgan Chase and BlackRock who are betting on AI that understands the physical world.

Jeff Bezos Returns to Lead Physical AI Lab at Massive Valuation

Jeff Bezos has closed a $10 billion funding round for Project Prometheus, his artificial intelligence lab focused on developing AI models and tools for engineering and manufacturing, reaching a $38 billion valuation

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. JPMorgan Chase and BlackRock are among the firms participating in the round, though there is no lead investor

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. The funding deal marks the first time Bezos has served in an operational role since stepping down as chief executive of Amazon in 2021

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Source: ET

Source: ET

Bezos co-leads the AI lab as co-CEO alongside Vik Bajaj, a Google veteran and former Google X leader

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. The two executives have been meeting with potential investors jointly, with Bezos offering the vision and ambitions while Bajaj lays out the plans for achieving them

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. Bezos is heavily involved as co-CEO, with multiple conversations between the two leaders occurring daily

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Breaking the Silicon Valley Mold with Physical AI Systems

In an unusual move for Bezos's AI startup, Project Prometheus has intentionally targeted non-Silicon Valley investors such as private equity firms and sovereign wealth funds that have deep exposure to physical industries

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. The lab has held talks with sovereign wealth funds in regions including the Middle East and Singapore

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. The only Silicon Valley-type firms that the lab counts among its investors are DST Global and ARCH Venture Partners

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The company is working on physical AI systems that understand the laws of physics and can be applied across physical industries including robotics, aerospace, drug discovery, and logistics automation

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. This approach is conceptually distinct from large language models that have dominated the AI investment cycle since 2022

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. While LLMs are trained on publicly available text, images, and code, physical AI systems require specialized real-world data on material behavior, engineering tolerances, manufacturing processes, and physics—much of which is proprietary and hard to collect at scale

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Source: PYMNTS

Source: PYMNTS

Ambitious Plans Beyond the $10 Billion Funding Round

Project Prometheus is also seeking to raise tens of billions of dollars for a holding company that plans to buy firms outright that would benefit from the technologies the lab is developing

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. Much like Berkshire Hathaway, the holding company would own the companies it acquires for decades and would target complementary businesses such as those in casting and specialized manufacturing

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. This holding company would have access to data from its portfolio businesses to train Prometheus's AI systems

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The agreement includes an initial $6.2 billion raised in November but has been extended because of demand

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. The startup has already raised billions of dollars in funding, sourced in part from Bezos himself

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. The company currently employs hundreds of people, with most working out of San Francisco and some in London and Zurich

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Attracting Top Talent from Leading AI Companies

The lab has attracted employees from leading AI labs like OpenAI, Google DeepMind, xAI, and Meta

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. Earlier this month, the company poached Kyle Kosic, a former OpenAI employee and xAI co-founder, to work on infrastructure projects

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. Kosic had previously led efforts at Elon Musk's AI startup to build its Colossus supercomputer

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Source: Inc.

Source: Inc.

The fundraising comes amid strong investor enthusiasm for AI companies as heavy technology spending reshapes businesses across sectors

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. The $38 billion valuation would make Prometheus one of the most richly valued early-stage AI startups in the world

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. The lab is still contemplating its initial products, with plans to both sell technology that helps manufacturers design and build physical products and manufacture physical products itself

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. The scarcity of specialized data creates both a barrier to entry and a potential long-term advantage for companies that can accumulate it, which may partly explain why institutional investors of BlackRock and JPMorgan's scale invested even at an early stage

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