The news: Jeff Bezos is returning to an operational role for the first time since stepping down as CEO from Amazon in 2021. His new startup—Project Prometheus—launched with $6.2 billion in funding, instantly making it one of the best-capitalized early-stage AI companies, per The New York Times.
Project Prometheus has hired almost 100 employees, including talent from OpenAI, DeepMind, and Meta. It’s focused on “physical AI”—where systems learn from real-world experimentation—for engineering and manufacturing across computers, humanoid robots, and aerospace and automotive industries.
Bezos is co-CEO of the company, marking a high-stakes return to building and scaling tech from the inside. The other CEO is Vik Bajaj, who previously led moonshot projects at Google X, including early work on Wing drones and Waymo self-driving cars.
Why it’s worth watching: Bezos fronting a new AI company outside of Amazon is a significant departure from his retail, cloud, and Amazon Web Services (AWS) infrastructure roots. Building it as a startup, rather than a subsidiary, doesn’t muddle Amazon’s bottom line and insulates Project Prometheus from investor expectations.
Project Prometheus solutions will feed into Bezos’ interests without directly competing with OpenAI, Meta, or Google AI releases.
AI shifts: Prometheus is leading a new wave of startups moving past large language models (LLMs) and into physical AI. Here are a couple of the other players:
- Periodic Labs is building robot-driven research facilities with an investment of $300 million to pursue autonomous labs, smart robots, and AI-driven discovery to reshape physical science and accelerate R&D.
- Thinking Machines Lab raised $2 billion to build scientific AI tools for research, engineering applications, and specialized business solutions rather than a one-size-fits-all mode.
Prometheus dwarfs both in funding—an early signal of its intent and expected scale of production for its AI tools.
What this means for brands: Companies like Project Prometheus will shorten product cycles, streamline supply chains, and accelerate breakthroughs in aerospace, automotive, and computing—delivering faster, cheaper results with clear ROIs.
Brands should watch how physical AI reshapes manufacturing and R&D. The next competitive edge will come from using AI to prototype new products, automate factory intelligence, and bring ideas to market with unprecedented speed.
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