Redirect Logo
Dashboard
Jeff Bezos
AI
elon musk
AWS

Project Prometheus Cost $6.2 Billion and Nobody Knows What It Does

Dishant Sharma
Dishant Sharma
Nov 29th, 2025
6 min read
Project Prometheus Cost $6.2 Billion and Nobody Knows What It Does

Elon Musk posted a laughing emoji and the word "copycat" when the news broke. That was his entire response to Jeff Bezos announcing a $6.2 billion AI startup. No explanation needed. Everyone knew what he meant.​

Project Prometheus surfaced in mid-November 2025, and the internet had opinions. Bezos hadn't been a CEO since leaving Amazon in 2021. Now he's back. Co-CEO of a company focused on something called "physical AI." Not chatbots. Not text generators. AI that learns from actual machines and real-world experiments.​

The reaction wasn't excitement. It was exhaustion.

You've probably felt this. Another billionaire. Another AI startup. Another few billion dollars thrown at a problem that might not exist. The comments on social media weren't kind. People asked if this was innovation or just wealth buying a seat at a crowded table.​

And honestly, i get it.

What Physical AI Actually Means

Most AI right now generates text. You type a prompt, it writes an email. That's useful. But it doesn't build anything.​

Bezos is betting on something different. Physical AI learns by doing. It tests materials. It designs prototypes. It runs factory equipment and figures out what breaks. The idea is to speed up manufacturing, drug discovery, robotics, aerospace.​

Here's what that looks like in practice: instead of engineers running 50 tests to see which metal alloy works best, the AI runs 500 tests overnight. It learns from failures. It optimizes. Then it hands engineers the answer.​

Project Prometheus has already hired about 100 people from OpenAI, DeepMind, and Meta.

But here's the part nobody talks about. This isn't new. Google X tried stuff like this. So did others. Physical AI is hard because the real world is messy. Simulations lie. Materials behave differently under stress. And when your AI is controlling a robotic arm or mixing chemicals, mistakes cost money. Or worse.

i used to think AI would solve everything faster. Then i watched a robot vacuum get stuck on a sock for 20 minutes.

The $6.2 Billion Question

Raising that much money before you even have a website is wild. Project Prometheus operates in full stealth mode. No public statements. No disclosed location. No product demos.​

Bezos put in a chunk of his own money. The rest came from investors who apparently saw enough behind closed doors to write massive checks.​

Most people find this annoying. And they're not wrong. When Google's CEO admits the AI boom looks "irrational," and then another billionaire drops $6 billion into the same space, it feels like we're watching rich people play poker with amounts that don't mean anything to them.​

The skepticism on Reddit and Twitter was immediate. Comments ranged from "here we go again" to deeper concerns about wealth concentration. Why does every tech billionaire need their own AI company? What problem is this actually solving that existing companies aren't?​

The Musk Factor

Elon's "copycat" jab wasn't random. He started xAI in 2023. Now Bezos starts an AI company two years later. The timing looks bad.​

But the technology is different. xAI builds language models. Prometheus is targeting manufacturing and robotics. Different goals. Different markets.​

Still, the optics are terrible. Two billionaires with a decades-long rivalry now competing in AI. It reads like a plotline nobody asked for.

The Vik Bajaj Detail

Bezos isn't running this alone. His co-CEO is Vik Bajaj, a physicist and chemist who led moonshot projects at Google X. Bajaj worked on Wing drones and early Waymo self-driving cars. He also co-founded Verily, Google's life sciences lab.​

This matters because Bajaj has actually built physical AI systems before. Wing drones had to learn to navigate wind, drop packages accurately, and avoid obstacles. That's the kind of real-world problem-solving Prometheus is supposed to tackle.​

Here's what broke when Wing first tested deliveries:

  • Drones couldn't handle crosswinds above 15 mph

  • Package drops missed targets by several feet

  • Birds attacked the drones (seriously)

Bajaj knows physical AI is hard. Which makes this whole thing slightly more credible. Slightly.

Why This Might Not Flop

Most AI startups optimize ad clicks or write marketing copy. Prometheus is aiming at engineering and manufacturing. That's a harder problem. But if it works, the impact is bigger.​

Faster product cycles mean companies can test and launch faster. Better supply chains mean lower costs. AI-designed drugs could reach patients years earlier.​

The companies most excited about this aren't tech startups. They're aerospace firms, automotive manufacturers, and pharma companies. Industries where speed and precision actually matter.​

If Prometheus can cut product development time in half, the ROI justifies the $6.2 billion.But that's a massive "if."

The Blue Origin Connection

Bezos still runs Blue Origin, his aerospace company. It competes with SpaceX. And it's been slower to deliver results.​

Building rockets is exactly the kind of problem physical AI could help with. Test engine designs faster. Optimize fuel mixtures. Run simulations that actually match reality. If Prometheus works, Blue Origin benefits immediately.​

This makes me wonder if the whole thing is just a side project to make Blue Origin more competitive. Which would be fine, honestly. At least then it has a clear purpose.

But nobody's saying that out loud. The pitch is broader: revolutionize all manufacturing. Transform drug discovery. Change how products get built.​

That's either visionary or delusional. Hard to tell from the outside.

Who This Isn't For

Let me be direct. Most companies don't need this.​

If you're a small manufacturer making 1,000 units a year, you don't need AI to optimize your factory. You need better suppliers and consistent quality control.

If you're a startup testing a new product, running 50 experiments manually is fine. You learn more from hands-on failure anyway.

Physical AI makes sense at scale. When you're Boeing testing wing designs or Pfizer screening drug compounds, shaving months off the timeline matters. For everyone else, it's overkill.​

And here's the uncomfortable truth: most AI startups are solving problems that don't exist. They're building technology because they can, not because anyone asked for it.

i hope Prometheus is different. But the track record says otherwise.

What Happens Next

Bezos hasn't done interviews about this. No launch event. No flashy demo. That's either smart or suspicious.​

Smart because it lets them build without hype. Suspicious because $6.2 billion is a lot of money to spend in the dark.

The team is legit. The funding is real. The technology is theoretically possible. But we've seen this before. Billions poured into ambitious AI projects that quietly shut down when reality hits.​

The real test isn't whether Prometheus builds cool prototypes. It's whether any company actually uses it. And whether it delivers results faster and cheaper than the old way.

i think about the "copycat" tweet a lot. Maybe Musk is right. Maybe this is just another billionaire chasing the same trend. Or maybe Bezos saw something the rest of us missed. We won't know for a while.

Enjoyed this article? Check out more posts.

View All Posts