OpenAI’s growing costs with Microsoft raise viability concerns

The AI money pit

A leaked report has pulled back the curtain on the staggering costs behind tools like ChatGPT. It seems the company OpenAI is burning through cash at an unbelievable rate, spending billions just to keep its AI running.

This financial reveal shocks experts and makes us question the true price of artificial intelligence. The dream of advanced AI is slamming into the hard reality of multi-billion-dollar server bills, creating a serious challenge for the entire tech industry.

A billion-dollar secret

Leaked documents, analyzed by independent reporters, indicate OpenAI’s payments tied to Microsoft and inference compute may add up to roughly $12 billion since 2024, though the companies involved have not published the contract details and have issued limited public comments.

These numbers are far higher than what was previously reported to the public and investors. If true, it paints a picture of a company whose expenses are spiraling dangerously out of control, spending much more than it makes.

Spending doubles in a year

The leaked figures suggest inference spending rose sharply. Reporters cite estimates of about $3.8 billion in inference spend in 2024 and roughly $8.65 billion in the first nine months of 2025.

If these figures are accurate, they would represent a large year-over-year increase in cash outlays for AI model services; however, the documents are partial and do not provide the full billing picture.

It suggests that as more people use AI, the company’s losses are actually growing faster than its income. This vicious cycle threatens the long-term survival of even the most popular AI platforms.

The mysterious money loop

The finances get more confusing when you follow the money. Microsoft receives a 20% share of OpenAI’s revenue, which lets us estimate their sales. The numbers from this method don’t match the much higher revenue figures OpenAI’s CEO has publicly announced.

This creates a huge gap between what is being said and what the leaked documents imply. This discrepancy makes it difficult to trust the optimistic financial picture the company has been promoting.

Microsoft’s vague denial

When asked about the leaked totals, a Microsoft spokesperson told reporters, “We won’t get into specifics, but I can say the numbers aren’t quite right.” Both companies have declined to release the underlying contract terms that would fully clarify the flow of payments.

It’s possible the numbers don’t account for cloud credits or complex internal payments between the two companies. However, without transparency, the true financial health of this AI partnership remains a mystery.

Sam’s bold claim vs reality

OpenAI CEO Sam Altman has publicly said the company’s revenue is “well more” than the $13 billion figure widely reported, and has suggested rapid topline growth.

Still, those public comments and the revenue implied by the leaked documents do not cleanly align, making independent reconciliation difficult. This gap between public boasts and private paperwork is a major red flag. It forces us to question which set of numbers is closer to the truth.

Costs beyond ChatGPT

Reporters note that the leaked figures cover inference and some Azure bills. At the same time, training costs and payments to other providers (CoreWeave, Oracle, AWS, Google Cloud) are separate and may add materially to total spending.

The leaks also don’t include money spent with other cloud providers like Google. This means the total financial drain is likely even larger than the shocking numbers we can see. The complete picture of AI expenses is probably even more grim.

A Domino effect for all AI

If the cost structure shown in the leaks is representative, it raises serious questions about the unit economics of large-scale generative models. That does not prove that every AI business is unprofitable, but it does indicate that the sector faces significant engineering and pricing challenges.

Every other company building similar AI could be facing the same terrifying math. The entire field might be standing on a foundation of financial quicksand, despite all the hype and investor excitement.

Your subscription’s future

What does this mean for you? If these costs are real, the price for using advanced AI will almost certainly have to rise. The dream of cheap, powerful AI for everyone is threatened by the reality of massive server bills.

The free or low-cost access we enjoy today might not be sustainable, and businesses may start passing these costs directly to users.

A plea for transparency

This situation highlights a desperate need for more financial transparency from OpenAI and its partners. Everyone, from customers to investors, is making big bets on AI’s future based on potentially incomplete information.

When finances are this secretive, it is hard to know if you can trust the technology’s long-term stability. Clear and honest numbers are essential for building real trust.

Rivals make big moves

While OpenAI faces these questions, its rivals are acting. Another AI firm, Anthropic, just announced a massive fifty-billion-dollar plan to build its own data centers. This shows the immense infrastructure investment everyone believes is necessary to compete.

It also suggests the entire industry is aware of the crippling costs and is trying to build its way out of the problem.

A high-stakes gambling game

We are witnessing an epic gamble where companies are betting they can solve the cost problem before their funding runs out. They hope for a technological miracle to make AI cheaper or to find enough customers willing to pay much higher prices.

The future of this transformative technology hangs in the balance, dependent on a business model that has not yet been proven to work.

To see how this high-stakes battle is unfolding, discover how studios like Ghibli are now challenging OpenAI.

What this means for you

This financial story directly impacts the technology quickly weaving into your daily life. The outcome will determine how you interact with AI, what it costs you, and how quickly it evolves.

The next time you ask an AI a question, remember the multi-billion-dollar engine behind it, a future filled with both incredible potential and serious financial doubts.

Speaking of challenges, see how rival Anthropic is now edging ahead in this high-stakes business race.

Does this change how you see AI’s future? Share your thoughts below and tap the like button if you found it insightful.

Read More From This Brand:

• Is Perplexity’s new browser better than Google?
• OpenAI hires Apple experts for debut hardware product
• OpenAI reorganizes group responsible for ChatGPT’s persona design

Don’t forget to follow us for more exclusive content right here on MSN.

If you liked this story, you’ll LOVE our FREE emails. Join today and be the first to get stories like this one.

This slideshow was made with AI assistance and human editing.