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AI & Machine Learning

OpenAI spent $34 billion in 2025, lost $39 billion

Manaal Khan17 June 2026 at 5:42 am5 دقيقة للقراءة
OpenAI spent $34 billion in 2025, lost $39 billion

Key Takeaways

OpenAI spent $34 billion in 2025, lost $39 billion
Source: The Decoder
  • OpenAI spent $34 billion in 2025, nearly triple its 2024 spending of $12.5 billion
  • The company paid Microsoft $17.2 billion for compute, exceeding its own $13 billion revenue
  • Net losses hit $39 billion, though $30 billion stems from a one-time accounting charge tied to corporate restructuring

OpenAI spent $34 billion in 2025, nearly tripling its 2024 outlay. The figures, first reported by independent journalist Ed Zitron and confirmed by the Financial Times, reveal a company burning cash at a staggering pace while preparing for an IPO that could value it north of $1 trillion.

The headline loss figure is $39 billion. But strip out a $30 billion one-time accounting charge related to OpenAI's transition from its unusual non-profit structure, and the operational loss sits closer to $8-9 billion. That's still a massive gap between spending and earning.

Where did the $34 billion go?

R&D swallowed about $19 billion. Sales and marketing took another $6 billion. But the most striking line item is infrastructure: OpenAI paid Microsoft $17.2 billion for compute capacity in 2025. That single expense exceeds OpenAI's total revenue for the year.

$17.2 billion
Amount OpenAI paid Microsoft for compute in 2025, exceeding its $13B annual revenue

Revenue grew significantly. OpenAI ended 2024 generating about $1 billion per quarter. By the end of 2025, monthly revenue hit $2 billion, putting the company on an annualized run rate of $24 billion. That's real growth. But it doesn't close the gap when compute costs alone dwarf what's coming in.

The Microsoft dependency problem

Ed Zitron's analysis zeroes in on a structural issue that the raw numbers only hint at. OpenAI isn't just spending heavily on compute. It's locked into Microsoft's infrastructure in a way that constrains its economics.

This framing recast the debate on Hacker News. Is OpenAI a standalone tech giant building toward AGI? Or is it, functionally, an R&D arm of Microsoft that happens to have consumer-facing products? The distinction matters for investors evaluating that $1 trillion IPO target.

What the $30 billion accounting charge means

Most of OpenAI's reported $39 billion net loss isn't cash walking out the door. The Financial Times clarified that roughly $30 billion stems from a non-cash accounting adjustment tied to the company's earlier corporate structure. OpenAI began life as a non-profit, later created a capped-profit subsidiary, and has since restructured further. The charge reflects that history, not 2025 operations.

The underlying operational loss of $8-9 billion is still substantial. It's roughly 60-70% of total revenue. For comparison, Uber lost about $9 billion the year before its IPO on $11 billion in revenue. OpenAI's ratio is in the same neighborhood, though the absolute numbers are larger.

Can OpenAI grow into its valuation?

A $1 trillion valuation on $13 billion in revenue implies a price-to-sales multiple around 77x. That's aggressive even by AI standards. For context, Nvidia trades around 25x trailing revenue, and it's actually profitable.

The bull case rests on revenue trajectory. Growing from $4 billion annualized at the end of 2024 to $24 billion annualized at the end of 2025 is a 6x jump in run rate. If that pace continues, and if margins improve as scale kicks in, the valuation math could work. That's a lot of ifs.

The bear case points to the Microsoft dependency. Every dollar OpenAI earns requires more than a dollar in compute. Until that ratio flips, profitability remains theoretical.

What happens next

OpenAI's IPO is expected later in 2026. The company will need to convince public market investors that it can either reduce its reliance on Microsoft's infrastructure or generate enough revenue to cover the cost. Neither is guaranteed.

The community reaction is split. Reddit's r/singularity is divided between optimists citing the $2 billion monthly revenue milestone and skeptics asking how profitability arrives post-IPO. Hacker News leans more skeptical, with threads dissecting whether OpenAI can ever escape the Microsoft orbit.

For founders and CTOs watching this play out, the lesson is simpler: even the most hyped AI company in the world hasn't solved the unit economics of large language models. If OpenAI can't make the math work with $13 billion in revenue and the industry's most valuable partnership, the path for smaller players is narrower than it looks.

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Logicity's Take

OpenAI's financials reveal a company in a classic growth trap: it must spend aggressively to maintain its lead, but spending aggressively prevents profitability. The Microsoft relationship, once a massive advantage, now looks like a structural constraint. Paying $17 billion for compute while earning $13 billion isn't a business model; it's a subsidy arrangement. The IPO will test whether public investors believe OpenAI can renegotiate that relationship or build its own infrastructure fast enough to matter.

Frequently Asked Questions

How much did OpenAI spend in 2025?

OpenAI spent $34 billion in 2025, with approximately $19 billion going to R&D and $17.2 billion paid to Microsoft for compute infrastructure.

What was OpenAI's revenue in 2025?

OpenAI generated roughly $13 billion in revenue for the full year, with monthly revenue reaching $2 billion by December 2025.

Why did OpenAI report a $39 billion loss?

About $30 billion of the reported loss was a one-time, non-cash accounting charge related to OpenAI's corporate restructuring from its original non-profit structure. The operational loss was closer to $8-9 billion.

When is OpenAI's IPO expected?

OpenAI is preparing for an IPO later in 2026, with a potential valuation exceeding $1 trillion.

How much does OpenAI pay Microsoft for compute?

OpenAI paid Microsoft $17.2 billion for cloud compute infrastructure in 2025, which exceeded OpenAI's total revenue for the year.

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Need Help Implementing This?

Building AI applications without OpenAI-scale budgets? Logicity helps engineering teams evaluate cost-effective inference options, optimize compute spend, and architect systems that won't break the bank. Get in touch for a consultation.

Source: The Decoder / Maximilian Schreiner

M

Manaal Khan

Tech & Innovation Writer

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