A new artificial intelligence venture backed by Jeff Bezos is nearing a $10 billion fundraising round that would value the company, Project Prometheus, at about $38 billion, marking one of the largest early-stage bets on applying AI to the physical economy.
According to the Financial Times, the round is expected to include heavyweight investors such as JPMorgan and BlackRock, with the deal close to completion, though not yet finalized. Bezos is said to be leading the fundraising alongside co-chief executive Vikram Bajaj.
The scale of the raise underscores how the center of gravity in AI investing is shifting. While the first wave of capital focused on large language models and consumer-facing applications, the next phase is moving deeper into industrial use cases, where AI can directly influence production, engineering, and supply chain design.
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Project Prometheus is believed to be targeting precisely that layer. Its focus spans computing hardware, automobiles, and aerospace sectors, where optimization gains are tightly linked to profitability and strategic capacity. The company’s founders, Sherjil Ozair and William Guss, are positioning the startup at the intersection of AI software and advanced manufacturing systems.
Industrial sectors have historically lagged behind software in adopting advanced AI due to integration complexity, legacy systems, and long product cycles. However, rising geopolitical tensions, supply chain disruptions, and the push for domestic manufacturing are accelerating adoption. AI is increasingly seen as a lever to offset higher labor and input costs in reshored production environments.
The valuation attached to Project Prometheus points to expectations that these constraints are easing. Advances in simulation, generative design, and real-time optimization are making it feasible to embed AI directly into engineering workflows. In aerospace, for instance, AI can reduce design cycles from years to months. In automotive manufacturing, it can optimize materials and production lines with a level of precision that was previously unattainable.
The involvement of JPMorgan and BlackRock highlights another shift: the increasing role of institutional capital in early-stage technology. As AI ventures demand larger upfront investment, traditional financial firms are moving beyond passive exposure and taking direct stakes in high-growth companies. This blurs the line between venture capital and large-scale asset management, particularly in sectors where returns are tied to long-term structural change.
For Bezos, the move aligns with a broader pattern of investing in foundational technologies that underpin multiple industries. While Amazon has established dominance in cloud computing and logistics, Project Prometheus suggests a parallel strategy focused on the next layer of industrial transformation, where AI intersects with hardware, infrastructure, and production.
The move comes as the global AI race is entering a capital-intensive phase, with companies competing not only on model performance but also on access to compute, data, and real-world deployment environments. Industrial AI adds another dimension, requiring integration with physical systems, regulatory compliance, and long-term customer relationships.
At a projected $38 billion valuation, Project Prometheus would immediately rank among the most valuable private AI firms. That scale provides advantages in recruiting talent, securing partnerships, and investing in infrastructure. However, it also raises expectations around execution, particularly in sectors where adoption cycles are slower, and returns may take longer to materialize.
The broader implication is that AI is moving from a software-centric narrative to one that encompasses the entire production stack. Instead of merely augmenting digital services, it is being deployed to redesign how goods are conceived, engineered, and manufactured.
If the fundraising closes as expected, Project Prometheus is expected to enter that arena with substantial financial backing and a mandate to operate at scale from the outset.