Anthropic plans to spend $518 billion from a 2025 revenue base under $5.2 billion
Anthropic plans to spend $518 billion, more than 100 times its 2025 revenue, according to the IPO prospectus seen by Reuters. Investors in the listing are underwriting a payoff that JP Morgan says has yet to show up as broad productivity gains in the US.
The Investor · Invest desk

What happened
- JP Morgan estimated that justifying Nvidia's valuation needs US productivity growth of 3% to 5% a year for a decade, against a Congressional Budget Office baseline of 1.75%.
- Bain says US hyperscalers and others in the AI race must find more than $4.2 trillion of new revenue over the next five years to fund the buildout.
- Columbia economist Stijn Van Nieuwerburgh puts US AI investment at up to about $9 trillion from 2025 to 2032, equal to 3.2% of US GDP each year.
- PwC projects cumulative global data-center spending could top $30 trillion by 2050, almost the value of outstanding US Treasuries.
Why it matters
- What it limits constraint Bain's finding that existing markets cannot justify the outlay ties the return to businesses still to be built, such as AI-guided robots and new battery and chip materials.
- Who's exposed exposure Because much of the infrastructure debt is leveraged, Van Nieuwerburgh warns that a modest drop in demand, a delay or a fall in asset values would produce much larger losses.
- What doesn't add up contradiction Executives and economists are pricing different things: Dario Amodei has said an AI future could be "a thing of transcendent beauty", while the economists' tests turn on measured revenue and productivity.
Next story · Invest · Oct 1
OpenAI and DeepMind researchers go on camera to warn AI labs are rushing self-improving systemsConfirmed2 publishers
"More than 100 times" sets a ceiling: Anthropic's 2025 revenue was below $5.18 billion [15]. Columbia Business School's Stijn Van Nieuwerburgh uses a 10% return as the hurdle for the US sector [9]. Apply it to the $518 billion and the spending would need to earn about $51.8 billion a year once it is all spent [16]. Anthropic took in at most a tenth of that during 2025 [17]. Reuters did not report how many years the plan covers. If it fell inside Van Nieuwerburgh's 2025-2032 window, one company would account for about 6% of his US estimate [21].
JP Morgan's Nvidia test looks modest as an annual rate and steep once compounded. Over ten years the CBO's 1.75% baseline adds about 19% to US productivity [18]. JP Morgan's band adds about 34% to 63% [19], or between 1.8 and 3.3 times the cumulative gain the budget office expects [20]. By JP Morgan's estimate, that is the bar for one chipmaker's valuation [5].
Revenue is the other test. Bain's $4.2 trillion over five years averages $840 billion of new revenue a year [14]. Van Nieuwerburgh's bar is an annual run rate: about $3.55 trillion of revenue by 2032, for a sector that, Reuters reported, earns a fraction of that now [9]. "The question is whether the applications arrive in time to pay for it," Bain's study said [7].
Two outcomes would vindicate the spending. In the first, productivity growth reaches JP Morgan's pace and the CBO baseline turns out too low [5]. Jasjeet Sekhon, chief strategy officer at Google DeepMind, named the second at a UC Berkeley summit in August. He said recursive self-improvement, models teaching themselves, was a "key part of the investment thesis" [12]. JP Morgan described the case where neither happens: "Historical precedent suggests that technology-driven booms often end when infrastructure buildouts cease to deliver sufficient returns," the bank wrote [13].
In my view the evidence supports the cautious reading for now. Anthropic's plan asks buyers to pay today for an annual return at least ten times its 2025 revenue [17], and the sector-wide revenue needed for a 10% return is still several multiples away [9]. The counter-case is that a single company's sales can compound far faster than national productivity, and an IPO prices one company's cash flows. The cautious reading would be proved wrong if Anthropic's sales climbed toward $51.8 billion a year [16], or the sector's toward $3.55 trillion by 2032 [9].
What to watch
- US productivity releases, and whether annual growth moves toward JP Morgan's 3% to 5% band or stays near the CBO's 1.75% baseline.
- A public version of Anthropic's prospectus that states how many years the $518 billion covers and how much of it is debt-funded.
Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+35
- Incentives60
- Confidence55
Perspective Coverage
3 publishers- Builder
- Builder 25%
- Operator
- Operator 27%
- Investor
- Investor 48%
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
PwC projects cumulative global spending on data centers could top $30 trillion by 2050, almost matching the value of outstanding US Treasuries.
- [2]
Bain said US hyperscalers and others in the AI race need to find more than $4.2 trillion of new revenue in the next five years to fund the buildout.
- [3]
Anthropic plans to spend $518 billion in coming years, according to the IPO prospectus seen by Reuters, which is more than 100 times its 2025 revenue.
- [4]
JP Morgan wrote in August that broad-based productivity gains in the US "remain elusive".
- [5]
JP Morgan estimated US productivity gains would need to be 3% to 5% annually over the next 10 years to justify Nvidia's valuation, against a Congressional Budget Office baseline expectation of 1.75% annual productivity growth for that period.
- [6]
Bain & Company said productivity gains from existing markets would not be enough to justify current outlays and "entirely new markets must emerge to close the funding gap", suggesting AI-guided robots and new materials for batteries and semiconductors.
- [7]
"The question is whether the applications arrive in time to pay for it."
- [8]
Columbia Business School economist Stijn Van Nieuwerburgh estimates US AI investment will run as high as about $9 trillion from 2025 to 2032, equivalent to 3.2% of US GDP each year.
- [9]
Van Nieuwerburgh estimates the US AI sector would need to generate about $3.55 trillion in annual revenue by 2032 to earn a 10% return on investment; it earns a fraction of that now.
- [10]
Van Nieuwerburgh wrote that the leveraged structure of much of the debt funding AI infrastructure means "a relatively modest deterioration in demand, delays, or asset values can therefore produce much larger losses".
- [11]
Anthropic's Dario Amodei has said an AI future could be "a thing of transcendent beauty"; OpenAI's Sam Altman has said "the rate of new wonders being achieved will be immense".
- [12]
Jasjeet Sekhon, chief strategy officer at Google DeepMind, told a UC Berkeley summit in August that recursive self-improvement was a "key part of the investment thesis".
- [13]
"Historical precedent suggests that technology-driven booms often end when infrastructure buildouts cease to deliver sufficient returns."
- [14]
$4.2 trillion of new revenue over five years averages $840 billion a year.
- [15]
Anthropic's 2025 revenue was below $5.18 billion.
- [16]
A 10% annual return on $518 billion is about $51.8 billion a year.
- [17]
Anthropic's 2025 revenue was less than a tenth of the $51.8 billion annual return a 10% hurdle implies.
- [18]
1.75% annual productivity growth compounds to about 19% over ten years.
- [19]
3% to 5% annual productivity growth compounds to about 34% to 63% over ten years.
- [20]
JP Morgan's required cumulative gain is between 1.8 and 3.3 times the CBO-baseline cumulative gain.
- [21]
$518 billion is about 6% of a $9 trillion US AI investment total.
Sources
2 independent publishers whose own reporting we read for this story.
- channelnewsasia.comAnalysis:AI's race to transform the world before the money runs out
1 article · October 2, 2026
- dev.toThe AI Infrastructure Boom Is Entering Its Payback Phase
1 article · October 2, 2026
- mezha.netІнвестиції в ШІ можуть перевищити $30 трлн, але окупність залишається під питанням
1 article · October 3, 2026
Topics and entities
Topics
- AI and productivity
- Initial Public Offerings
- AI Infrastructure Investment Thesis
- Technology investment booms