Bezos Secures $10B for Project Prometheus Physical AI

Jeff Bezos is reportedly finalizing a $10 billion investment round for his secretive startup, Project Prometheus, valuing the company at approximately $38 billion. The venture, which emerged in late 2025, focuses on developing physical AI foundation models designed to interpret and interact with the tangible world. This massive capital injection, involving major institutional players like BlackRock and JPMorgan, signals a strategic shift from digital-only generative models toward industrial applications in robotics, aerospace, and manufacturing.

Scaling Physical AI for Industrial Use

The startup is co-led by Bezos and Vik Bajaj, a former lead scientist at Google X. To build its technical foundation, the company has already hired more than 120 researchers from top-tier AI labs, including OpenAI, DeepMind, and Meta. This aggressive recruitment strategy underscores the firm's ambition to lead the next frontier of physical AI development.

Data Strategy for Physical AI Training

Beyond the immediate funding round, reports indicate that Bezos is organizing a separate $100 billion fund dedicated to acquiring engineering and construction firms. These acquisitions are intended to provide Project Prometheus with proprietary industrial datasets, which are essential for training physical AI to handle complex physical tasks. By securing high-quality data from real-world engineering processes, the company aims to solve challenges in drug discovery and automated manufacturing that current text-based AI cannot address.

This latest financial move follows a $6.2 billion seed round completed in 2025. The rapid scaling of physical AI capabilities reflects a growing interest among institutional investors in moving artificial intelligence beyond software and into heavy industry. As of April 21, 2026, the deal is nearing completion, positioning Prometheus as a primary competitor in the race to automate the physical economy.

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Scaling Physical AI for Industrial Use

Data Strategy for Physical AI Training

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