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The AI Money Merry-Go-Round: Why SoftBank’s OpenAI Deal Has Me Questioning Everything

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I just finished reading about SoftBank and OpenAI’s new joint venture called “Crystal Intelligence,” and honestly, it’s got me scratching my head. On the surface, it looks like a straightforward business expansion into Japan’s enterprise AI market. But when you dig deeper, there’s something that feels… off about the whole thing.

The deal is structured as a 50-50 partnership to sell enterprise AI tools in Japan, which sounds reasonable enough. But here’s where it gets interesting – SoftBank isn’t just a business partner here, they’re also one of OpenAI’s major investors. So essentially, we have an investor creating a joint venture with the company they’ve already put money into. It’s like lending your friend money to start a lemonade stand, then partnering with them to sell lemonade on the next block.

The Circular Money Problem

According to the article, this arrangement is raising some serious questions about whether AI’s biggest deals are actually creating genuine economic value or just shuffling money around in increasingly complex ways. I have to say, this resonates with something I’ve been noticing in the AI space lately.

Think about it – SoftBank invests in OpenAI, then creates a joint venture that will presumably pay licensing fees back to OpenAI, while SoftBank benefits from both the joint venture’s profits AND OpenAI’s increased revenue. It’s not exactly a Ponzi scheme, but there’s definitely some circular logic happening here that makes me uncomfortable.

The TechCrunch Equity podcast team (Kirsten Korosec, Anthony Ha, and Russell Brandom) seem equally skeptical about this arrangement, and I think they’re onto something important about the sustainability of AI’s current investment model.

What This Means for the AI Market

This deal is happening at a time when the global AI market is absolutely exploding, but particularly in enterprise applications. Japan represents a massive opportunity – it’s the world’s third-largest economy with a business culture that’s increasingly embracing digital transformation. For context, Japan’s AI market is expected to reach significant scale in the coming years, making it an attractive target for expansion.

But here’s what bothers me: are we seeing genuine market expansion, or are these deals primarily designed to justify sky-high valuations? When the same money keeps cycling through the same players, it becomes really hard to measure actual economic impact.

Compare this to how other tech giants are approaching international expansion. Microsoft’s AI partnerships tend to involve distinct third parties, while Google’s enterprise AI expansion usually involves direct investment rather than these complex joint ventures with existing investors.

The Valuation Question

OpenAI’s valuation has been climbing steadily, and deals like this one help support those numbers on paper. But if a significant portion of that growth comes from partnerships with existing investors, how do we separate real market demand from financial engineering?

I’m not saying there’s anything illegal or even necessarily wrong here – it’s just that these interconnected relationships make it incredibly difficult to assess the true health of the AI market. When everyone’s invested in everyone else, objectivity becomes a rare commodity.

My Take on Sustainability

The article touches on concerns about the sustainability of AI’s current investment model, and I think this is the real story here. We’re seeing massive amounts of capital flowing into AI companies, but increasingly, it’s the same capital flowing between the same players in different configurations.

This reminds me a bit of the dot-com era, where companies would partner with each other and count those partnerships as revenue growth, even when the underlying economics didn’t quite add up. The difference now is that AI actually works – the technology is real and valuable. But that doesn’t mean every deal structure makes economic sense.

From a Japanese market perspective, this could actually be beneficial for local businesses looking to adopt AI tools. Having localized support and sales infrastructure often matters more than the underlying financial arrangements between the parent companies. But as an observer of the broader AI ecosystem, these circular investment patterns make me nervous.

Looking Forward

I think we’re going to see more deals like this as AI companies look for ways to expand internationally while maintaining relationships with their key investors. The question is whether regulators will start paying attention to these arrangements, particularly if they become more common.

There’s also the competitive angle to consider. If SoftBank-backed companies start getting preferential partnership opportunities, that could create unfair advantages in markets where SoftBank has significant influence. Japan’s business ecosystem has historically been relationship-driven, so this kind of arrangement might work well there, but it sets an interesting precedent.

Ultimately, I’m not ready to call this a red flag yet, but it’s definitely a yellow one. The AI industry needs sustainable growth models, and while circular investments aren’t inherently problematic, they do make it harder to separate genuine progress from financial maneuvering. As someone who’s genuinely excited about AI’s potential, I hope we can find ways to fund innovation without creating these complex webs of interdependence.


This post was written after reading The circular money problem at the heart of AI’s biggest deals. I’ve added my own analysis and perspective.

Disclaimer: This blog is not a news outlet. The content represents the author’s personal views. Investment decisions are the sole responsibility of the investor, and we assume no liability for any losses incurred based on this content.

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