Analysis
OpenAI expects to burn through roughly $278 billion in cash between 2026 and the end of 2030 as spending on computing infrastructure surges, according to a Financial Times report published Friday and covered by Bloomberg and The Information.
The projections, from a private presentation prepared in July for a computing deal, show OpenAI spending roughly $856 billion on compute infrastructure through 2030 while revenue rises from a projected $36 billion this year to $350 billion in 2030.
Separately, OpenAI has held early talks about a new round that could value the company above $1.2 trillion, a roughly 41% premium over its March 2026 mark.
“Separately, OpenAI has held early talks about a new round that could value the company above $1.2 trillion, a roughly 41% premium over its March 2026 mark.”
Six Days, Two New Numbers
Pulse previously covered Sam Altman telling Fortune on September 12 that an OpenAI IPO in 2026 would be "ill-advised" given unresolved AI-safety questions, with the company then targeting roughly a $1 trillion valuation. Six days later, OpenAI has both a self-reported cash-burn figure attached to its infrastructure ambitions and a higher private valuation target under discussion -- still entirely outside public-market disclosure rules.
What The Money Is Chasing
OpenAI, founded in 2015 and the maker of ChatGPT and the GPT-6/Astra model family, has spent 2026 stacking compute commitments: Oracle's Stargate buildout, Broadcom and AMD custom-silicon deals, and capacity purchases from neoclouds including CoreWeave and Nscale, whose $45 billion capacity deal with Anthropic this year set the benchmark for contract size. The nearest comparable is Anthropic itself, targeting roughly a $2 trillion valuation for a Nasdaq listing pushed to mid-October -- nearly double OpenAI's private target, with one key difference: Anthropic's number will eventually face public-market scrutiny through an S-1, and OpenAI's won't.
The Math, And What It Rests On
$278 billion in cumulative burn against a revenue climb from $36 billion to $350 billion is a bet that demand keeps compounding for five straight years without interruption. Those figures sit inside the same AI-infrastructure capital stack Pulse tracked this week:
- Crusoe -- $3.9B Series F at a $30.9B valuation
- Nscale -- $103.4B contracted backlog
- CoreWeave -- $104B backlog
All of it rests on one assumption: that buyers like OpenAI actually purchase, and pay for, that much compute on schedule.
What the headline misses is who produced this $278 billion figure and why: it is OpenAI's own five-year forecast, built into a private deck designed to support a computing deal, not a number any outside auditor has tested. Five-year infrastructure and revenue forecasts are acutely sensitive to compute-pricing and demand assumptions -- and the same week the company cites AI-safety concerns as its reason to avoid a public listing's disclosure obligations, it is shopping a larger number to private investors instead.
For VCs and LPs with indirect AI-infrastructure exposure, OpenAI's own burn projection is effectively the demand-side assumption every supply-side bet in this issue -- Crusoe, CoreWeave, Nscale -- is underwriting. If OpenAI's revenue ramp slips even modestly short of plan by 2030, the buildout financed against that assumption has no obvious backstop. What comes next: whether the $1.2 trillion round actually closes, and whether Anthropic's October IPO prices anywhere near its own target.