Jeff Bezos Project Prometheus: $10bn Raised to $38bn Valuation

Jeff Bezos is in the process of closing one of the most speculative early fundraisings the intelligence industry has ever produced, with his fledgling AI laboratory, Prometheus, reportedly closing a $10bn (£7.9bn) round that could value the business at $38bn.

The Financial Times, citing people familiar with the matter, reported on Monday that BlackRock and JPMorgan are among the heavyweights that have signed up for the round, although the deal has not yet been finalized. BlackRock declined to comment. The fundraising, if completed on terms, will place Prometheus among the most valuable AI businesses in the world, less than six months after the scam emerged.

Launched quietly in November 2025 with $6.2bn in initial funding, Prometheus is pursuing a very different thesis from the AI ​​giants that have dominated the investment cycle since ChatGPT arrived in late 2022. of physics. The target markets mentioned are engineering, manufacturing, aerospace, robotics, drug discovery and logistics automation, sectors where the major language models have, until now, barely touched each other.

Running the program on a day-to-day basis is CEO Vikram Bajaj, a former Google X scientist and founder of Foresite Labs. The lab has grown to more than 120 employees, poached from the likes of OpenAI, xAI, Meta and DeepMind. Bezos, who has been described as one of the early backers, has been leading fundraising alongside Bajaj, and has, in particular, taken an operational role in the business. It is the first time that the founder of Amazon has rolled up his sleeves at the technology company since he stepped down as CEO of the group he created in 2021.

Time is amazing. The Prometheus boost will come just days after Amazon itself committed up to $25bn in new investment to Anthropic, and secured a $100bn cloud commitment from the Claude maker, a move that underscored how dramatically it has scaled the scale of its AI infrastructure deals. A $10bn round for a six-month laboratory could, in theory, exceed the lifetime fundraising of most existing AI companies.

Why are institutions like BlackRock and JPMorgan willing to write checks of that size to an uninsured business? The answer lies in the unique economics of virtual AI. Unlike the vast amounts of cheap, publicly available text and code that power today’s language models, the data needed to teach a machine how metal wears out, how a drug molecule binds or how a robotic arm should select a part is proprietary, scarce and expensive to collect at scale. That shortage is a watershed, and stocking it up early can provide a lasting advantage for any pre-treatment laboratories.

For Britain’s small and medium-sized manufacturers, aerospace suppliers and life sciences experts, many of whom are already sitting on decades of unique performance data, the emergence of Bezos’ well-established laboratory is a development worth watching. If Prometheus delivers his ambitions, the model for using AI in the industrial economy will not be built behind closed web pages but in collaboration with firms that actually make, repair and deliver things.

That, of course, is a big “if”. Prometheus has yet to publicly demonstrate a product, let alone a commercial shipment, and the lab remains firmly in its early stages. Dozens of skeptics will also point out that the broader AI market wears inflated valuations. Peter Fedoročko, chief technology officer at analytics firm GoodData, takes a measured view. “Yes, AI has a bubble, but the technology is real,” he argues. “When the dot-com crash, the internet didn’t disappear, it became infrastructure. The same thing happened here. The dot-com crash took a decade to recover from, but the internet changed everything in that time. It didn’t erase jobs; it replaced them. AI follows the same pattern. When the hype burns out, the real builders go back to work.”

For Bezos, the calculation is easy. After building the world’s largest logistics and cloud empire on the back of the previous technology wave, he is now betting, personally and in size, that the next one will be written not in pixels and prose, but in physics.