📰 Key Takeaways

OpenAI has reportedly raised $11 billion so far in a new funding round, at a $1.25 trillion valuation. Bloomberg, citing people familiar with the matter, said on Friday that the $11 billion is only part of the overall round. The round isn’t finished yet and is expected to close within the next few weeks, with a total of around $20 billion. However, Bloomberg reported in late September that OpenAI planned to raise $30 billion in this round, so the current figure is clearly below the original target. TechCrunch has asked OpenAI for comment, and OpenAI hasn’t responded yet.

At the same time, Bloomberg also reported that potential buyers in the IPO of Anthropic, OpenAI’s main competitor, are weighing valuations well below what Anthropic originally aimed for. Some potential buyers think Anthropic could be valued as low as $1.1 trillion, compared with the $2 trillion investors were expecting about a month ago. As for OpenAI’s own listing plans, it earlier hinted at going public this year, then pushed that back, and an IPO is now expected sometime next year at the earliest.

The overall AI market is in a pretty fragile spot right now. The Democrats’ big win in the US midterm elections, combined with very strong negative sentiment among voters about data centers, has set off widespread unease in the market, and many people expect regulatory challenges ahead.

💬 JudyAI Lab Take

OpenAI has only raised $11 billion in this round so far, a long way from the original $30 billion target, and at the same time Anthropic’s IPO buyers are pushing valuations down. The heat in AI funding looks like it’s cooling off.

According to the original report, OpenAI’s valuation reached $1.25 trillion, but the whole round is expected to total about $20 billion, still below the $30 billion reported in late September. On the Anthropic side, some potential buyers may value it as low as $1.1 trillion, while investors were expecting $2 trillion a month ago. Add in the negative sentiment about data centers and regulatory worries after the midterms, and even the very top AI companies have to face tougher scrutiny. For AI builders, this points to a trend: capital isn’t buying in unconditionally anymore, and valuations need firmer reasons to back them up. Product design should adjust too. You can’t just lean on the “stronger model is always better” narrative. You need to prove real user value and a sustainable cost structure. Architectures that depend on a single vendor, or that assume compute will stay cheap forever, get riskier as well.

My suggestion: take stock of how much your product depends on a single model provider and on compute costs, and try to work out which features would be hit first if API prices go up or service terms change.

📅 Source Info

🔗 Further Reading