Opinion: AI Labs Want Cheap Debt Before Real Profits

The strangest thing about the AI boom is that the companies most responsible for changing the future are still trying to convince the financial system that their future cash flows are safe enough to borrow against cheaply.

That is what makes the reported push by OpenAI and Anthropic for investment-grade credit ratings so important. It is not just a finance story. It is a confession that AI has outgrown normal startup economics. The companies building frontier models now need the kind of capital usually associated with telecoms networks, energy companies, chip plants and heavy infrastructure.

Software used to scale beautifully. Build once, sell many times, keep margins high. Frontier AI does not work that way, at least not yet. Every new leap requires more chips, more power, more data-centre capacity, more safety work and more expensive talent. The product may feel like software to the user, but the economics increasingly look industrial.

That is why cheap debt matters. If OpenAI and Anthropic can borrow at lower rates after public listings, they can finance the next wave of compute without relying only on equity, cloud credits or strategic partners. But this also pushes the AI boom deeper into the financial system, where ratings, bonds and institutional investors begin to carry the risk.

We have already seen hints of this circular structure. OpenAI partners with infrastructure companies, chipmakers depend on AI labs, cloud providers extend capacity and investors assume future growth will justify present spending. Our earlier look at circular AI finance was not just theoretical. The industry is slowly building a capital machine around expected future demand.

The problem is that expected future demand is not the same as proven profit. OpenAI and Anthropic may become enormous public companies. They may also face margin pressure, regulation, lawsuits, safety limits, competition from cheaper Chinese models and customer pushback over pricing. A credit rating does not erase those risks. It repackages them.

This is where the public should pay attention. AI companies are already asking for energy support, data-centre permits, favourable regulation and now potentially cheaper access to debt markets. They are becoming infrastructure companies before society has fully decided how much oversight infrastructure companies in AI should face.

The industry will argue that scale is necessary. It is not wrong. If the US wants to compete with China, if companies want safer and more useful models, and if users want better tools, someone has to pay for the compute. But the question is who bears the risk if the economics disappoint.

Cheap debt can accelerate innovation. It can also inflate bubbles when markets mistake growth stories for durable cash generation. The AI labs may well justify the confidence. But they should have to prove it with more transparent finances, clearer margins and honest accounting of infrastructure obligations.

AI is no longer a startup story. It is a capital markets story, an energy story and a public infrastructure story. If OpenAI and Anthropic want investment-grade trust, the market should ask for investment-grade transparency in return.