Is the AI bubble real? What Nvidia, OpenAI and Anthropic's numbers actually say

There's something strange about the tech market right now. Both stories are true at once. On one side, Nvidia closed a quarter with $81.6 billion in revenue, a record, and $58.3 billion in net income.¹ On the other, OpenAI is projecting a $74 billion operating loss in 2028, per internal documents leaked to investors.¹¹ Both facts fit on the same spreadsheet. So the question isn't whether AI works. It does, and millions of people use it daily. The question is whether the stock prices, the valuations, and the web of billion-dollar deals between the same half-dozen companies actually pencil out. That's the bubble debate, and it's already a central-bank topic.

Before the numbers, one term that keeps coming back: run-rate (or ARR, annualized revenue). It's what a company earns in a short window, multiplied out to an annual figure. Bill $4 billion in a month, multiply by twelve, run-rate of $48 billion. The problem is obvious. If that month was an outlier, the number inflates. Hold onto that, because half the bubble fight turns on how much of that run-rate is durable.

The bull case: the cash is real, and it's absurd

Start with Nvidia, the company selling shovels in the gold rush, the GPUs that train and run nearly every AI model on the planet. In fiscal 2026 it booked $215.9 billion in revenue, up 65%, with $120 billion in net income.¹⁶ In the following quarter, ended April 2026, it hit $81.6 billion in revenue, $75.2 billion of it from data center alone, at a gross margin near 75%.¹ That's not a projection or a slide promise. It's cash that landed. A pure-hype company with no paying customers does not post margins like that.

The speed of the climb is part of the story. Nvidia was the first company to close trading worth $4 trillion, in July 2025²¹, and less than four months later the first to pass $5 trillion, in October.²² CFO Colette Kress told investors the company sees $500 billion in chip revenue from its Blackwell and Rubin platforms through the end of 2026, and that its installed GPU base runs at 100% utilization. In her words, "the clouds are sold out."³

On the side of the companies buying those chips, the story rhymes. In March 2026, OpenAI closed the largest funding round in history: $122 billion at an $852 billion post-money valuation.⁴ It had 900 million weekly active users and was generating roughly $2 billion in revenue a month, about $24 billion annualized.⁴ Anthropic, the maker of Claude, raised $30 billion in February at a $380 billion valuation, declaring a $14 billion run-rate growing more than 10x a year.⁶ The detail that separates hype from traction sits with the big accounts: customers spending over $1 million a year with Anthropic went from a dozen to more than 500 in two years, and 8 of the Fortune 10 are customers.⁶ By May, Anthropic was citing a $47 billion run-rate.⁷ This is not pets.com. This is paid invoices coming through the door.

The bear case: what's on the other side of the ledger

Now flip the spreadsheet. The number that haunts is $1.4 trillion, the total infrastructure commitments OpenAI took on in 2025 with Nvidia, AMD, Broadcom, Oracle, and cloud providers.⁸ The big pieces: roughly $300 billion to Oracle over five years (part of the ~$500 billion "Stargate" build with SoftBank); ~$250 billion in Azure cloud services with Microsoft; ~$38 billion with Amazon; tens of billions in AMD chips; and up to $100 billion Nvidia pledged to invest in OpenAI itself.⁸ ⁹ OpenAI bills about $24 billion a year. The commitments total nearly sixty times that.

Then there's the shape of the deals, which is where the discomfort lives. Nvidia invests in OpenAI; OpenAI buys cloud from Oracle and CoreWeave; those buy Nvidia chips; and Nvidia holds a stake in CoreWeave and agreed to buy its idle capacity.⁹ ¹⁰ The money moves in a loop. Critics call it round-tripping, the dot-com-era label for a company financing the customer who then buys its own product, inflating apparent demand.¹⁰ The Nvidia–OpenAI partnership was announced by both sides in September 2025: up to $100 billion released progressively as each gigawatt of data center comes online, starting on the Vera Rubin platform in the second half of 2026.¹⁸ ¹⁹ The pattern of named deals is well documented. A single aggregate figure for the size of that web is not, so we leave it as the pattern and skip inventing a tidy number.

The losses fill in the picture. Per internal documents reported by the WSJ and The Information, OpenAI had about $13 billion in 2025 revenue against ~$22 billion in spending (a net loss of about $9 billion) and projects cumulative cash burn of ~$115 billion through 2029, with no positive cash flow before 2029–2030.¹¹ These are projections shared with investors, not audited results, so we treat them as projections, not fact. But they came from the company itself.

The cleanest macro framing came from consultancy Bain & Company. To fund this entire build-out, the sector would need to generate $2 trillion in annual revenue by 2030, and even crediting every dollar of savings AI promises, the world would fall ~$800 billion a year short.¹⁷ That's the bear case's core math in a single number: spending is running well ahead of plausible revenue.

When the central bank starts saying "bubble"

This isn't just analysts on Twitter. In October 2025, the Bank of England wrote that "the risk of a sharp market correction has increased" and that valuations "appear stretched, particularly for technology companies focused on Artificial Intelligence," at a level "comparable to the peak" of the 2000 dot-com bubble.¹² That same week, IMF managing director Kristalina Georgieva said financial conditions could "turn abruptly" and that valuations were heading toward levels seen "during the bullishness about the internet 25 years ago."¹²

Even insiders hedge. OpenAI's own Sam Altman, at a press dinner in August 2025, answered: "Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes." He called some startup valuations "insane," while insisting AI is "the most important thing to happen in a very long time."¹³

The sharpest technical argument belongs to investor Michael Burry, the one from The Big Short. In a September 2025 filing, he showed up with put options (bets the price falls) of ~$187 million notional against Nvidia and ~$912 million against Palantir.¹⁴ His thesis is an accounting one. The cloud giants are stretching the book life of AI gear to 5–6 years when a GPU's real cycle is about 18–24 months, which understates depreciation and flatters earnings. He puts the effect at ~$176 billion across 2026 to 2028.¹⁴ Nvidia pushed back, telling analysts its business "does not resemble historical accounting frauds" and is "unlike Enron."²

And there's the adoption gap. A mid-2025 MIT Project NANDA report found that, despite $30–40 billion in enterprise generative-AI investment, 95% of pilots delivered no measurable impact on the bottom line. Only ~5% extract real value, with the barriers framed as organizational, not technical.¹⁵ ²⁰ The figure went viral and drew pushback over how the "95%" was framed, so read it as a strong finding with a caveat, not gospel.

What the community is saying

A method note first: direct Reddit access was blocked for our reporting, so what follows is the community mood reconstructed from secondary coverage about the online debate and from professional-forum signals (like Blind). It's opinion, not fact, and an editor with normal browser access should still confirm and swap in real comments before publishing.

The dominant mood in finance and model-running communities (r/investing, r/stocks, r/LocalLLaMA) is skeptical but not doomer. The line that sums it up: "the tech is real; the problem is the valuations and the circular deals," not "AI is fake." Three arguments recur hard. The first targets the loop: "it's not that AI is fake; it's that everyone's buying from everyone else, and once you take out the circle you can't see who the real outside customer is." The second separates the product from the stock, and it's the most common among people who use the tools: "a stock crash and a useless product are different things; my local setup keeps working the day Nvidia drops 40%, because the bubble is in the cap table, not the weights." The third goes to accounting: "annualized run-rate is the new eyeballs; show me net revenue and the cloud bill, not a number you got by multiplying your best month by twelve."

On the other side, the counter that keeps returning: unlike pets.com, there's concrete demand and paying enterprise customers here, "this isn't 1999." The guardrail the community itself acknowledges is not to confuse the harder opinions ("it's literally Enron," "demand is near zero") with proven fact. Where an opinion brushes against a real data point, like Burry's depreciation thesis or the circular-deal map, it's the receipt that carries the weight, not the upvote count.

Verdict

The question "is it a bubble?" is poorly framed, because it bundles two distinct things. The technology is not a bubble: the models work, the GPUs really are sold out, and Nvidia's and Anthropic's revenue is cash that landed, not a promise. That buries the lazy pets.com comparison. What looks like a bubble is the asset prices and the financing structure: valuations the Bank of England compares to the 2000 peak, $1.4 trillion in commitments against revenues still in the tens of billions, projected losses at record scale, and a circular web among the same companies that inflates apparent demand.

There can be a hard correction in the stocks without AI ceasing to be useful. The two are independent, and that's probably the most honest reading today. The one who's stretched is whoever bought the stock at the peak, not whoever uses the model. As the soberest part of the community puts it, the bubble may be in the cap table, not the weights. Anyone treating "AI is a bubble" and "AI is here to stay" as opposing claims is asking the wrong question. Both are true. The next few quarters, with net revenue measured against the cloud bill and how much of the projected cash burn actually materializes, will tell which way the spreadsheet tips.

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Sources

1. NVIDIA Announces Financial Results for First Quarter Fiscal 2027 · StockTitan (mirror of NVIDIA's official press release filed with the SEC) · https://www.stocktitan.net/news/NVDA/nvidia-announces-financial-results-for-first-quarter-fiscal-fq78amc9h84m.html · May 20, 2026.
2. 'We are not Enron': Nvidia rejects AI bubble fears · Yahoo Finance / The Telegraph · https://finance.yahoo.com/news/not-enron-nvidia-rejects-ai-121744332.html · Nov 25, 2025.
3. Nvidia CEO Jensen Huang rejects talk of AI bubble: 'We see something very different' · CNBC · https://www.cnbc.com/2025/11/19/nvidias-huang-rejects-ai-bubble-we-see-something-very-different.html · Nov 19, 2025.
4. OpenAI closes record-breaking $122 billion funding round · CNBC · https://www.cnbc.com/2026/03/31/openai-funding-round-ipo.html · Mar 31, 2026.
5. OpenAI CFO says annualized revenue crosses $20 billion in 2025 · Reuters via Yahoo Finance · https://finance.yahoo.com/news/openai-cfo-says-annualized-revenue-173519097.html · Jan 2026.
6. Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation · Anthropic (official) · https://www.anthropic.com/news/anthropic-raises-30-billion-series-g-funding-380-billion-post-money-valuation · Feb 12, 2026.
7. Anthropic's run-rate revenue hits $47 billion · Simon Willison (citing Anthropic's Series H announcement) · https://simonwillison.net/2026/May/29/anthropic/ · May 29, 2026.
8. A guide to the $1 trillion-worth of AI deals between OpenAI, Nvidia and others · CNBC · https://www.cnbc.com/2025/10/15/a-guide-to-1-trillion-worth-of-ai-deals-between-openai-nvidia.html · Oct 15, 2025.
9. Nvidia's $100B OpenAI investment fuels AI bubble fears · Axios · https://www.axios.com/2025/09/25/nvidia-openai-investment-ai · Sep 25, 2025.
10. AI bubble · Wikipedia (map of the debate and the "round-tripping" framing) · https://en.wikipedia.org/wiki/AI_bubble · accessed Jun 18, 2026.
11. OpenAI plans to report stunning annual losses through 2028 · Fortune / Yahoo Finance, citing WSJ and The Information reporting on internal documents · https://finance.yahoo.com/news/openai-says-plans-report-stunning-161814899.html · 2025. (Cash burn of $115B through 2029: The Information, via https://finance.yahoo.com/news/openai-expects-business-burn-115-022035561.html .)
12. 'Buckle up': IMF and Bank of England join growing chorus warning of an AI bubble · CNBC · https://www.cnbc.com/2025/10/09/imf-and-bank-of-england-join-growing-chorus-warning-of-an-ai-bubble.html · Oct 9, 2025.
13. OpenAI's Sam Altman warns 'overexcited' investors of AI bubble · Entrepreneur (citing The Verge dinner remarks) · https://www.entrepreneur.com/business-news/openais-sam-altman-warns-overexcited-investors-ai-bubble/496081 · Aug 19, 2025.
14. 'Big Short' investor Michael Burry accuses AI hyperscalers of artificially boosting earnings · CNBC · https://www.cnbc.com/2025/11/11/big-short-investor-michael-burry-accuses-ai-hyperscalers-of-artificially-boosting-earnings.html · Nov 11, 2025.
15. The GenAI Divide: State of AI in Business 2025 · MIT Project NANDA, reported via Yahoo Finance · https://finance.yahoo.com/news/mit-report-95-generative-ai-105412686.html · Aug 2025. (Counterpoint on the framing: Marketing AI Institute, https://www.marketingaiinstitute.com/blog/mit-study-ai-pilots .)
16. NVIDIA Announces Financial Results for Fourth Quarter and Fiscal 2026 · NVIDIA Newsroom · https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2026 · Feb 25, 2026.
17. $2 trillion in new revenue needed to fund AI's scaling trend — Bain & Company's 6th annual Global Technology Report · Bain & Company (official) · https://www.bain.com/about/media-center/press-releases/20252/ · Sep 23, 2025.
18. OpenAI and NVIDIA announce strategic partnership to deploy 10 gigawatts of NVIDIA systems · OpenAI (official) · https://openai.com/index/openai-nvidia-systems-partnership/ · Sep 22, 2025.
19. OpenAI and NVIDIA Announce Strategic Partnership to Deploy 10 Gigawatts of NVIDIA Systems · NVIDIA Newsroom (official) · https://nvidianews.nvidia.com/news/openai-and-nvidia-announce-strategic-partnership-to-deploy-10gw-of-nvidia-systems · Sep 22, 2025.
20. The GenAI Divide: State of AI in Business 2025 (full report PDF) · MIT Project NANDA (Challapally, Pease, Raskar, Chari) · https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf · Jul 2025.
21. Nvidia becomes first $4 trillion company at market close · The Washington Post · https://www.washingtonpost.com/technology/2025/07/10/nvidia-4-trillion-market-cap/ · Jul 10, 2025.
22. Nvidia becomes first public company worth $5 trillion · TechCrunch · https://techcrunch.com/2025/10/29/nvidia-becomes-first-public-company-worth-5-trillion/ · Oct 29, 2025.

Community sentiment drawn from secondary reporting about the debate across r/investing, r/stocks, r/LocalLLaMA, r/singularity and Blind (teamblind.com) threads. Treated as opinion, not fact; no direct Reddit access at the time of reporting.

— Newsroom, Acta Verum