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When Everyone's Investing in Everyone Else with the Same Money

AI funding announcements are getting ridiculous. Nvidia supposedly invests big in OpenAI, then OpenAI uses that money to buy Nvidia's overpriced GPUs. It's circular financing disguised as growth.

Black Forest Labs wants a $4 billion valuation for image generation tech after launching just a year ago. They're partnering with Mistral AI, which hit a $14 billion valuation. European AI companies are chasing Silicon Valley valuations based on partnerships, not fundamentals.

Black Forest Labs basically took Stable Diffusion, improved it, and wants $4 billion. You can run similar image generation locally on an RTX 4090 using open-source models for free.

The Financial Times calls them "one of the few European companies developing its own AI models," but that's like calling someone who modifies an open-source project a "core developer." They're fine-tuning existing diffusion models. Useful work, but worth more than most Fortune 500 companies?

The Nvidia-OpenAI deal isn't really an investment. Nvidia gives OpenAI money, then OpenAI uses it to buy Nvidia's overpriced H100 clusters. It's like "investing" in a lemonade stand by lending money that can only be spent at your lemonade supply store.

Circular Business Investment

Same pattern as the cloud partnerships boom. Microsoft's OpenAI investment looked innovative until you realized it was mostly Azure credits. Amazon did the same with Anthropic - billions that flow back to AWS.

Oracle's massive OpenAI commitment is betting on explosive growth that might not materialize. They're wagering huge cloud capacity deals on one customer continuing to scale exponentially.

The UAE President is meeting with OpenAI's CEO about AI partnerships. When sovereign wealth funds start throwing oil money at AI deals, we're in peak bubble territory.

European companies like Black Forest Labs are competing against American companies with unlimited cloud credits and circular financing. That's why they're partnering with Mistral AI - they need alliances for distribution.

Both Black Forest and Mistral are open-source. When your core tech is freely available on GitHub, how the hell do you justify billion-dollar valuations? "Our competitive advantage is execution?" Good luck with that when someone forks your model and runs it for 90% less.

This echoes the 2000 dot-com bubble. Companies announced massive deals, but money just shifted between the same group of companies. Cisco financed customer equipment purchases, which looked like growth until everyone realized it was vendor financing dressed up as revenue.

Economic Bubble Warning Signs

Elon's calling out Stargate project funding because he knows how this works. Announcing massive commitments is easy - having the money available is harder. Half these "investments" exist in press releases and PowerPoint decks.

The concentration is what scares me. Nvidia, Microsoft, OpenAI, Oracle - they're all investing in each other with the same money flowing in circles. When one of them has problems, it'll cascade through the whole ecosystem. Regular users get screwed when this house of cards falls over.

Questions About This AI Funding Madness

Q

Why is everyone "investing" in their own customers?

A

It's a fucking shell game. Nvidia gives OpenAI $100B, then OpenAI immediately spends it on H100s from... Nvidia. It looks like explosive growth on paper, but it's just the same money changing hands. It's like me lending you money that you can only spend at my store, then claiming I have amazing sales growth. Wall Street eats this shit up because the numbers look incredible.

Q

How is Black Forest Labs worth $4B when their code is free on GitHub?

A

They can't. They took Stable Diffusion, tweaked it, and somehow convinced VCs this is worth more than Ford Motor Company. Their entire codebase is open-source

  • anyone can download it and run it locally. I've used their models on my RTX 4090 at home. The tech is solid but $4B for something that's literally free? That's peak bubble insanity.
Q

What makes European AI startups different from their American counterparts?

A

European companies like Black Forest Labs and Mistral AI are fighting with one hand tied behind their backs. American companies get unlimited cloud credits from Microsoft/Amazon, plus circular financing deals. Europeans get... partnerships with each other. It's like bringing a knife to a gunfight where the other guy has infinite ammo.

Q

Why did Fortune characterize Nvidia's OpenAI investment as potentially problematic?

A

Because it's obviously sketchy as hell. When a chip manufacturer "invests" $100B in their biggest customer, that's not investment

  • it's vendor financing with extra steps. Nvidia guarantees hardware sales and gets equity upside. OpenAI gets "funding" they have to spend on Nvidia chips. Nobody knows if there's real demand or just money going in circles.
Q

Is this just another dot-com bubble?

A

Pretty much, but with GPUs instead of website domains.

Same pattern: insane valuations based on "imagine if everyone uses AI," circular investments between the same companies, and VCs throwing money at anything with "AI" in the name. The difference is we're building actual infrastructure this time

  • data centers, power plants, networking gear. When this crashes, at least we'll have useful hardware instead of worthless pets.com stock certificates.
Q

What role are governments playing in these AI investment cycles?

A

When the UAE President is personally meeting with OpenAI's CEO about partnerships, we're way past normal business deals. Governments throwing oil money and sovereign wealth funds at AI startups screams bubble territory. Once nation-states start getting involved in VC deals, you know someone's about to lose their shirt.

Q

Are the valuations for AI companies sustainable?

A

Hell no. Black Forest Labs wants $4B for tweaking open-source code. That's betting AI growth never slows down, ever. If AI hits a wall like self-driving cars did, all these companies with zero revenue and billion-dollar valuations are fucked. The math only works if AI keeps getting exponentially better forever.

Q

What are the warning signs of an AI investment bubble?

A

We're already there. Mega-deals every week, companies valued on dreams instead of revenue, everyone investing in their own customers, governments throwing money around, and VCs acting like they'll miss the last train. Plus the same 5 companies are all investing in each other

  • when one fails, they all fail.
Q

How does the open-source model affect AI company valuations?

A

It makes them completely insane. When your entire product is freely available on GitHub, what exactly are investors buying for $4B? "Better execution"? Anyone can fork the code and run it cheaper. Open-source is great for adoption, terrible for explaining why your startup is worth more than actual profitable companies.

Q

What did Elon Musk mean by questioning Stargate's funding availability?

A

Elon knows how this shit works

  • he's done it himself. Announcing "$500 billion commitments" is easy when it's all Power

Point slides and press releases. Actually having the money? That's different. Half these mega-deals exist in headlines, not bank accounts.

Q

Could a major AI company failure trigger broader market problems?

A

Absolutely. Nvidia, Microsoft, OpenAI, and Oracle are all financially tangled up with each other. If OpenAI implodes, Nvidia loses their biggest customer. If Nvidia has supply issues, everyone else is screwed. It's like 2008 but with GPUs instead of mortgages.

Q

How should investors distinguish between legitimate AI companies and bubble plays?

A

Simple: does the company make money from actual customers, or just from other AI companies? If their business plan requires AI to keep improving forever, they're fucked when it hits a wall. Avoid anything with circular investments, "potential" valuations, or companies that only exist because other AI companies pay them.

Q

What would a correction in AI investments look like?

A

Companies with zero revenue lose 90% of their value overnight. VCs stop funding anything with "AI" in the name. All those circular investment deals unwind. Oracle gets stuck with massive data centers nobody wants to rent.The good news? Unlike the dot-com crash, we'll at least have useful infrastructure left over

  • data centers, power grids, networking gear. It'll just be really fucking expensive infrastructure that nobody can afford to run.

Essential Reading: AI Funding Bubble Analysis & Market Concerns

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