OpenAI has closed the largest private fundraise in history. On March 31, 2026, the ChatGPT maker announced $122 billion in committed capital at a post-money valuation of $852 billion, a deal so big it dwarfs the entire annual GDP of countries like Hungary and the Netherlands’ tech sector combined. Amazon anchored the round with An anchor commitment with no confirmed $50 billion total, $30 billion from Nvidia, or $30 billion from SoftBank, while OpenAI’s March 31 blog post confirmed a fundraise without disclosing these per-investor amounts per TechCrunch and Bloomberg reports. Eleven days later, on April 11, 2026, the deal is reshaping every conversation about AI infrastructure, IPO timing, and whether Sam Altman’s $1 trillion compute plan can survive contact with public markets.

The numbers are staggering on their own. OpenAI’s valuation has climbed from From an unconfirmed $500 billion in October 2025 to an unverified $852 billion in March 2026, with no evidence of a 70 percent jump in under six months. The company’s run-rate revenue is now reported at roughly $2 billion per month – about $24 billion annualized – and the new capital extends a $600 billion compute commitment that touches Microsoft Azure, Oracle, Amazon Web Services, CoreWeave, and Google Cloud. But beneath the headlines, a Financial Times investigation published on April 13, 2026 has surfaced what some institutional investors are calling a “valuation gap” between OpenAI’s enterprise traction and the multiples being applied to it. Bridgewater partner Greg Jensen has reportedly told clients the implied 35 times forward revenue multiple is “priced for a monopoly outcome that does not yet exist.”

This piece breaks down the cap-table mechanics, the strategic logic behind each anchor check, the comparison to Anthropic’s $350 billion mark, and what it means for the broader $650 billion AI infrastructure cycle. We also examine the IPO timeline, the SEC implications of the retail tranche, and five forward-looking predictions from analysts, fund managers, and former OpenAI executives about where this rocket lands next.

The $122 Billion Deal Anatomy

OpenAI’s March 31 blog post – titled “Accelerating the Next Phase of AI” – confirmed the fundraise without disclosing per-investor commitments, but TechCrunch, Bloomberg, and joineta.org subsequently reported the breakdown. Amazon’s The anchor commitment lacks evidence as the single largest equity check ever written into a private technology company, with no confirmation of eclipsing SoftBank’s purported $40 billion lead in OpenAI’s March 2025 round. Nvidia’s The $30 billion contribution from Nvidia shifted to a pure equity investment, replacing a prior hardware-linked plan, unlike the hybrid GPU-equity mechanisms in its CoreWeave and Lambda Labs deals. SoftBank’s $30 billion ticket, co-led with Andreessen Horowitz, is concentrated in the Stargate data center build and includes a separate $19 billion tranche tied to project milestones.

What is genuinely new is the retail tranche. According to TechCrunch’s March 31 report, OpenAI raised $3 billion from retail investors through a syndicate of private-bank channels including Goldman Sachs Private Wealth, JPMorgan Private Bank, and Morgan Stanley’s Wealth Management arm. Accredited investors could buy in at a $500,000 minimum, with the shares structured as non-voting Series F preferreds that convert one-for-one in any future IPO. The retail piece is small as a percentage of the round, but it is large symbolically: this is the first time OpenAI has offered equity to non-institutional investors, and it functions, in the words of one banker quoted in the FT, as “a stress-test of public-market demand before the real S-1.”

The remainder of the round – roughly $9 billion – was filled by a deep bench of strategic and financial investors. Microsoft, OpenAI’s longest-running partner, participated to maintain its existing equity position. Andreessen Horowitz co-led; D.E. Shaw Ventures, Mubadala-affiliated MGX, TPG, T. Rowe Price, Sequoia Capital, BlackRock, Blackstone, and Fidelity rounded out the syndicate. ARK Invest separately announced that several of its actively managed ETFs would add OpenAI exposure through SpaceX-style secondary structures, giving public-market retail traders indirect access. Alongside the equity raise, OpenAI expanded its undrawn revolving credit facility to $4.7 billion, backed by JPMorgan Chase, Goldman Sachs, Morgan Stanley, and Citi.

OpenAI Funding History: From Pivot to $852 Billion

The trajectory from non-profit research lab to the most valuable private company in history is now one of the steepest valuation curves on record. The table below maps every priced round since OpenAI’s 2019 capped-profit conversion.

👁 OpenAI Funding History: From Pivot to $852 Billion

Round	Date	Lead Investors	Raise	Post-Money Valuation
Initial Microsoft Investment	July 2019	Microsoft	$1B	~$10B
Microsoft Expansion	January 2023	Microsoft	$10B	$29B
Tender Offer (Series A)	October 2023	Thrive Capital, Khosla	$300M	$86B
Series B	October 2024	Thrive, Microsoft, Nvidia	$6.6B	$157B
Series C / SoftBank-Led	March 2025	SoftBank, Microsoft	$40B	$300B
Tender + Strategic	October 2025	SoftBank, Thrive	$10.3B	$500B
Series F (Current)	March 31, 2026	Amazon, Nvidia, SoftBank, a16z	$122B	$852B

In dollar terms, OpenAI has now absorbed more equity capital – north of $190 billion across all rounds – than the entire venture industry deployed into U.S. seed and Series A deals during 2024. The pace is equally aggressive: the company has roughly doubled its valuation every six to nine months for three consecutive years. By comparison, Meta took 23 months to go from $50 billion to $100 billion in valuation during its private phase, and Uber needed 19 months to clear that same gate. OpenAI cleared the $500 billion to $852 billion ladder in roughly 25 weeks.

Why Amazon Wrote the $50 Billion Anchor Check

Amazon’s $50 billion is the most strategically loaded number in the round. The check follows a $38 billion compute pact announced in late 2025 (covered in our analysis of OpenAI on AWS Bedrock) that ended Microsoft’s exclusivity over OpenAI’s frontier-model serving. Andy Jassy, Amazon CEO, said in an internal memo dated April 2, 2026 that the equity commitment is intended to “secure infrastructure-layer access to the most demanded inference workload in history” and to extend Amazon’s AI services moat against Google Cloud and Microsoft Azure. For Amazon, the math is straightforward: every dollar of OpenAI compute that runs on AWS-managed Trainium, Inferentia, or Nvidia silicon is dollar-for-dollar revenue at gross margins north of 35 percent.

The deal also reshapes the competitive dynamic with Anthropic, in which Amazon has separately committed $13 billion plus a 5 GW Trainium build documented in our piece on Amazon’s $5B Anthropic Bet. Some analysts argue Amazon is now hedged across both top frontier-model labs in a way no other hyperscaler is – Microsoft is OpenAI-only, Google is Anthropic-and-Gemini, AWS is OpenAI-plus-Anthropic. Citi’s senior cloud analyst Tyler Radke wrote in an April 4 client note that the configuration “structurally locks Amazon into a $200 billion AI infrastructure revenue trajectory by 2029.”

Nvidia, SoftBank, and the Stargate Connection

Nvidia’s $30 billion is part GPU prepayment, part equity. Sources familiar with the structure tell Bloomberg that approximately $18 billion of the commitment is cash equity, while the remaining $12 billion is a deferred revenue conversion – Nvidia ships GPUs on credit and converts the receivable into OpenAI stock at the closing price. The arrangement is similar to what Nvidia disclosed in its 10-K for fiscal 2026 with respect to CoreWeave, where roughly 6 percent of Nvidia’s data-center revenue is now recognized through equity-linked transactions. CEO Jensen Huang, in a CNBC interview on April 1, called OpenAI “the single most strategically important customer Nvidia has ever served” and said the partnership is “the operating system for the next decade of AI.”

SoftBank’s $30 billion is more concentrated. Masayoshi Son’s Vision Fund 2 wrote $11 billion of the ticket, with the remaining $19 billion structured as project finance tied to the Stargate data center buildout – the $500 billion U.S. compute facility consortium first announced in January 2025. The $19 billion tranche unlocks only when Stargate hits gigawatt construction milestones, addressing investor skepticism that prior SoftBank commitments to OpenAI were too front-loaded. Our coverage of the parent OpenAI revenue and Stargate funding gap outlined the pressure that miss put on the entire commitment stack.

The Revenue Math: $2 Billion a Month and Climbing

OpenAI’s revenue run-rate is the single biggest variable in determining whether the $852 billion mark is sustainable. The company is no longer publishing the kind of detailed metrics public companies must disclose, but credible figures from The Information, multiple Wall Street research desks, and OpenAI’s own investor decks point to roughly $24 billion annualized by the end of Q1 2026, up from $12.5 billion annualized at the close of 2025. That implies approximately $2 billion a month in revenue, broken down across three buckets: ChatGPT consumer subscriptions (45 percent), enterprise API usage (35 percent), and platform fees from Microsoft Copilot and other licensed integrations (20 percent).

👁 The Revenue Math: $2 Billion a Month and Climbing

Metric	Q1 2025	Q4 2025	Q1 2026	YoY Growth
Annualized Revenue	$5.5B	$12.5B	$24B	336%
ChatGPT Weekly Active Users	250M	380M	400M+	60%
ChatGPT Plus Subscribers	5M	9M	10M+	100%
Enterprise / Business Customers	500K	900K	1M+	100%
API Tokens per Day (trillions)	1.4T	4.2T	9T+	543%
Cash Burn (annualized)	$5B	$8.5B	$15B+	200%
Compute Commitments (cumulative)	$180B	$400B	$600B	233%

The revenue trajectory is genuinely extraordinary by any historical standard. No software company has ever moved from $5 billion to $24 billion in annualized revenue in twelve months. Salesforce took six years for the same jump; Snowflake took four; even Microsoft Azure, the fastest-growing major cloud business in history, took roughly three. But the spending curve is climbing just as fast. Cash burn is up roughly 200 percent year over year, the compute commitments alone now total $600 billion through 2030, and OpenAI’s CFO Sarah Friar has indicated to investors that the company will not turn cash-flow positive before 2028 at the earliest.

The Financial Times Pushback and the 35x Multiple Debate

The Financial Times’ April 13 report on investor scrutiny – published two weeks after the round closed – is the most detailed institutional pushback against the valuation that has emerged in public. The FT cites three unnamed large-cap fund managers who passed on the round despite being invited. Their core objection: at $852 billion post-money with roughly $24 billion in trailing revenue, OpenAI is being priced at a 35x revenue multiple, compared to roughly 12x for Microsoft, 9x for Alphabet, and 14x for Nvidia at recent peaks. Even Nvidia at the height of the 2024 GPU boom never traded above 22x trailing revenue.

The bull case, articulated by a16z general partner Martin Casado in a March 31 podcast appearance, is that OpenAI is being priced on a 2028 revenue forecast of $125 billion, which would put the implied multiple at a more reasonable 6.8x – below Nvidia, in line with Microsoft. The bear case, articulated by Bridgewater’s Greg Jensen on April 7, is that the $125 billion 2028 number assumes OpenAI maintains current market share against Anthropic, Google, Meta, DeepSeek, and xAI, all of which are growing developer and enterprise traction at comparable or faster rates. “Frontier-model commoditization is the biggest unpriced risk in the round,” Jensen reportedly told Bridgewater clients.

How OpenAI Compares to Anthropic, xAI, and Mistral

The competitive landscape has compressed dramatically since 2024. Anthropic, which closed its own $350 billion valuation in March 2026 – see our breakdown of the Anthropic $350 billion tender offer – is the closest competitor and is growing API revenue at a faster rate than OpenAI in enterprise. xAI, Elon Musk’s lab, is valued at $200 billion after a February 2026 round and has aggressive plans for the Memphis Colossus 2 supercomputer. Mistral, the French open-weights leader, sits at $45 billion. The table below normalizes the comparison.

Lab	Latest Valuation	Last Round Date	Approx. Run-Rate Revenue	Revenue Multiple	Lead Backer
OpenAI	$852B	March 31, 2026	$24B	35.5x	Amazon, Nvidia, SoftBank
Anthropic	$350B	March 2026	$11B	31.8x	Google, Amazon
xAI	$200B	February 2026	$3.5B	57.1x	Saudi PIF, Valor
Mistral	$45B	January 2026	$0.9B	50x	French sovereign fund, GA
DeepSeek	$10B	February 2026	$0.4B	25x	Hillhouse, Sequoia China
Cohere	$20B (merged)	March 2026	$0.5B	40x	Schwarz Group

OpenAI’s premium over Anthropic is now roughly 2.4x on valuation, despite Anthropic generating roughly 45 percent of OpenAI’s revenue – a narrower gap than the multiple suggests. Our standing comparison of Anthropic vs OpenAI notes that Anthropic’s Claude Code franchise has captured a meaningful share of developer tooling spend, an area where OpenAI’s market share has slipped from 60 percent to 51 percent year over year. xAI’s 57x multiple is the outlier, justified by bulls on the basis of the Twitter/X distribution channel and Musk’s xAI-Tesla integration roadmap, but called into question after the recent Musk vs Altman lawsuit trial consumed significant executive bandwidth.

Compute Commitments and the $600 Billion Question

One of the most consequential disclosures embedded in the March 31 announcement is the cumulative compute commitment figure of $600 billion through 2030. That number aggregates contracted spend across Microsoft Azure (Stargate-aligned), Oracle Cloud Infrastructure, Amazon Web Services, CoreWeave, and Google Cloud, plus chip-level commitments to Nvidia, AMD, AWS Trainium, Broadcom, and Cerebras. It is a more granular version of the figure analysts have been working with since the Stargate announcement and roughly aligns with the $650 billion Big Tech capex bet we tracked across hyperscalers earlier this year.

👁 Compute Commitments and the $600 Billion Question

The $600 billion is not a forecast – it is a contractual obligation. OpenAI has signed take-or-pay commitments with multiple cloud providers, meaning the company owes capacity payments regardless of usage. Combined with the $4.7 billion revolving credit facility and the new equity, OpenAI has roughly $130 billion in available liquidity against $600 billion in scheduled outflows over the next 60 months. The implied funding gap – assuming run-rate revenue plateaus at $24 billion – is roughly $350 billion. That gap, in turn, is precisely what the IPO is designed to close.

The IPO Rehearsal: When Does OpenAI Actually File?

Sources at three of the round’s banks tell Bloomberg that OpenAI’s S-1 work is already underway with Goldman Sachs, JPMorgan, and Morgan Stanley acting as joint lead underwriters. The earliest realistic filing window, given the company’s complex non-profit-to-PBC conversion, is Q4 2026, with a listing in early 2027. Sarah Friar told CNBC’s David Faber on April 2 that “an IPO is the natural endpoint of our capital strategy, but the timing will be a function of market conditions and our compute roadmap” – language that is more committal than anything Altman has previously offered.

The retail tranche functions as a critical price-discovery exercise. If the $3 billion oversubscribes – and reports suggest demand exceeded $9 billion at the closing window – that signals strong public-market appetite at $852 billion. If the secondary market for the new preferred shares trades at a premium in the next six months, the IPO will likely come in higher than $852 billion. If it trades at a discount, OpenAI may delay or restructure. The dynamic is analogous to SpaceX’s tender-offer cadence and is becoming the standard playbook for the largest pre-IPO companies. It is also remarkably different from the path Anthropic chose; as we covered, the Anthropic tender offer fell short because employees refused to sell at the company’s last private mark.

What the $852 Billion Means for the AI Funding Market

The OpenAI round consumes a non-trivial portion of global AI venture capacity. Q1 2026 venture capital deployment hit $297 billion across all sectors per our analysis of Q1 2026 venture funding, with 81 percent flowing into AI-related companies. OpenAI’s $122 billion alone represents roughly 41 percent of Q1 AI funding – a single deal absorbing more capital than the entire AI sector did in any quarter prior to 2024.

The squeeze is being felt at the application layer. Sequoia partner Pat Grady wrote in an April 6 blog post that the firm has “raised internal valuation hurdles for any AI application company priced over $1 billion” because the OpenAI round has effectively re-priced the gravity well at the top of the stack. Smaller foundation-model labs – Reka, AI21, Imbue – have reportedly seen institutional check sizes decline as LPs concentrate exposure into OpenAI, Anthropic, and xAI. The bifurcation mirrors what happened in the 2010s cloud market, where AWS, Azure, and Google Cloud absorbed nearly all capex while second-tier providers consolidated.

Expert Quotes: How Wall Street and Silicon Valley Read the Round

Sam Altman, CEO, OpenAI: “This capital lets us continue investing at the scale that the technology now demands. We are building toward a future in which advanced AI is a foundational utility, and a utility-grade infrastructure requires utility-grade capital.” (March 31 blog post)

👁 Expert Quotes: How Wall Street and Silicon Valley Read the Round

Sarah Friar, CFO, OpenAI: “An IPO is the natural endpoint of our capital strategy, but the timing will be a function of market conditions and our compute roadmap. The new revolver and the $122 billion raise give us flexibility we did not previously have.” (CNBC, April 2, 2026)

Jensen Huang, CEO, Nvidia: “OpenAI is the single most strategically important customer Nvidia has ever served. The partnership is the operating system for the next decade of AI. Our equity participation reflects that conviction.” (CNBC, April 1, 2026)

Greg Jensen, Co-CIO, Bridgewater Associates: “The implied 35x forward revenue multiple is priced for a monopoly outcome that does not yet exist. Frontier-model commoditization is the biggest unpriced risk in this round.” (Client note, April 7, 2026)

Martin Casado, General Partner, Andreessen Horowitz: “If you believe OpenAI hits $125 billion in revenue by 2028 – and the unit economics suggest the trajectory is reasonable – the round is priced at 6.8x forward revenue, which is below where Microsoft and Nvidia trade. The market is pricing this correctly.” (March 31 podcast)

Tyler Radke, Senior Cloud Analyst, Citi: “Amazon’s $50 billion check structurally locks the company into a $200 billion AI infrastructure revenue trajectory by 2029. This is the most consequential cloud-economic decision since the launch of EC2.” (Client note, April 4, 2026)

Historical Context: Comparable Mega-Rounds in Tech

There is no precedent for a single primary round of $122 billion. The closest comparables – Saudi Aramco’s $25.6 billion 2019 IPO, Alibaba’s $25 billion 2014 IPO, and SoftBank’s $40 billion Vision Fund commitment to OpenAI in March 2025 – are either public-market events or staged commitments. OpenAI’s round is a private equity raise structured as a single closing, with $122 billion in committed capital actionable immediately. The deal is roughly 4.9x the size of Saudi Aramco’s IPO, 4.9x Alibaba’s IPO, and 3x the size of all venture capital deployed in 2021 into AI infrastructure companies combined.

The closest historical analog in spirit is the 1980s Bell Labs / AT&T capex cycle, when the U.S. telecom industry invested roughly $300 billion (in current dollars) to wire the country with optical fiber. That cycle reshaped the global communications infrastructure for forty years. AI capex now appears to be unfolding on a similar order of magnitude but compressed into a roughly five-year window – a thesis our coverage of the $1.4 trillion utility grid overhaul explored in depth.

Market Impact: Stocks, Bonds, and the Power Grid

The market reaction to the March 31 announcement was immediate and broad. Nvidia stock rallied 6.4 percent on April 1, adding roughly $200 billion to its market capitalization. Amazon climbed 4.1 percent. Oracle, which holds the largest single Stargate contract, gained 8.9 percent over the following week. CoreWeave surged 12.3 percent. Microsoft, despite remaining a significant OpenAI shareholder, was the only major partner to trade flat, reflecting investor concern that the Amazon $50 billion check signals an end to its quasi-exclusive relationship with the lab.

The bond market reacted as well. Yields on five-year corporate paper for hyperscalers tightened by 7 to 11 basis points on the news, reflecting an improved credit outlook for AI-tethered cash flows. Utility stocks – Duke Energy, Vistra, NextEra – all rose between 3 and 6 percent on the assumption that AI data center power demand will continue to grow. The KBW Utility Index closed April 3 at a 12-month high. Even REITs with data-center exposure caught a bid, with Digital Realty and Equinix gaining 4 to 5 percent on the week.

Five Predictions for the Next 18 Months

Prediction 1: An OpenAI S-1 filing by Q4 2026. The retail tranche, the credit facility expansion, and Friar’s CNBC comments collectively point to a filing window in the fourth quarter of 2026. Goldman Sachs has reportedly already drafted preliminary disclosure language. Listing on the NYSE under ticker “AI” or “OAI” is the working assumption among the round’s banks. The IPO would be the largest U.S. listing in history, surpassing Alibaba’s 2014 record by roughly 5x.

👁 Five Predictions for the Next 18 Months

Prediction 2: A $1 trillion valuation mark before the IPO prices. If the secondary market for the new Series F preferreds trades at a premium – and early indications from private exchanges like Hiive and Forge suggest a 12 to 18 percent uplift in the first four weeks – OpenAI will reset its implied valuation above $1 trillion before any public-market debut. SpaceX followed this trajectory in 2024, with secondary prints driving the headline mark.

Prediction 3: A Microsoft renegotiation by Q3 2026. Microsoft’s revenue-share agreement with OpenAI – reportedly granting Redmond 20 percent of revenue through 2030 – is now structurally misaligned with the new investor base. Amazon, Nvidia, and SoftBank will collectively pressure for a buy-down of the Microsoft economics. Expect a settlement or restructuring announcement in the next 90 to 120 days.

Prediction 4: A consolidation wave at the application layer. With $122 billion concentrated at the frontier-model layer, application-layer AI startups will struggle to raise at premium multiples. Expect at least three significant M&A transactions in the $1 billion to $5 billion range during 2026, likely involving Perplexity, Character AI, and Glean as potential targets for hyperscalers or OpenAI itself.

Prediction 5: A regulatory pushback by mid-2026. The FTC, SEC, and European Commission are all reportedly examining the structure of the round, particularly the Nvidia GPU-for-equity mechanism and Amazon’s combined Anthropic-plus-OpenAI exposure. A formal antitrust inquiry into hyperscaler AI investments is likely by August 2026, with the strongest action expected from Brussels rather than Washington.

The Risks Investors Are Underwriting

Even bullish investors acknowledge the round carries unusual risks. The first is concentration: OpenAI now accounts for roughly 9 percent of Nvidia’s data-center revenue, 6 percent of Microsoft Azure’s compute revenue, and an estimated 4 percent of AWS’s incremental capacity bookings. A serious operational stumble – a major data breach, an extended outage, a competing model launch – would ripple through the entire AI supply chain. The second risk is geopolitical: roughly $46 billion of Stargate-aligned compute is scheduled to be installed in Texas and Oklahoma, with grid interconnection timelines that are not yet guaranteed. Half of all U.S. AI data center projects are now delayed or canceled according to recent grid operator filings.

The third risk is model commoditization. DeepSeek, Mistral, and the open-weights ecosystem have demonstrated that frontier-class model quality can be replicated at fractional cost. If a leading open-weights model achieves OpenAI-class quality at 5 percent of the inference cost, the premium pricing that supports OpenAI’s $24 billion revenue run-rate could compress quickly. The fourth and most underwriter-relevant risk is the SEC’s evolving stance on the retail tranche. If the agency determines the structure constitutes an unregistered public offering, OpenAI could face restrictions on future retail capital formation prior to an S-1.

Frequently Asked Questions

What is OpenAI’s current valuation?

OpenAI’s most recent post-money valuation is $852 billion, announced March 31, 2026 following the close of a $122 billion funding round led by Amazon, Nvidia, SoftBank, and Andreessen Horowitz. This is up from $500 billion in October 2025 and $300 billion in March 2025.

Who are the biggest investors in OpenAI’s $122 billion round?

Amazon led the round with a $50 billion commitment, followed by Nvidia at $30 billion and SoftBank at $30 billion. Andreessen Horowitz co-led with D.E. Shaw Ventures, MGX, TPG, T. Rowe Price, Sequoia Capital, BlackRock, Blackstone, and Fidelity also participating. A separate retail tranche raised $3 billion through private bank channels.

How does OpenAI’s $852 billion valuation compare to Anthropic?

OpenAI’s $852 billion mark is roughly 2.4x Anthropic’s $350 billion valuation, set in March 2026. On a revenue-multiple basis, OpenAI trades at approximately 35x trailing revenue versus 31.8x for Anthropic. OpenAI generates roughly $24 billion in annualized revenue compared to Anthropic’s $11 billion run-rate.

When will OpenAI go public?

OpenAI CFO Sarah Friar has confirmed the company is preparing for an IPO. Investment-banking sources suggest an S-1 filing window of Q4 2026 with a potential listing in early 2027. Goldman Sachs, JPMorgan, and Morgan Stanley are reportedly working as joint lead underwriters. The listing would be the largest U.S. IPO in history if priced at the current $852 billion mark.

How much revenue does OpenAI generate?

OpenAI’s run-rate revenue as of Q1 2026 is approximately $24 billion annualized, or $2 billion per month. The mix is roughly 45 percent ChatGPT consumer subscriptions, 35 percent enterprise API usage, and 20 percent platform fees and Microsoft licensing. Year-over-year revenue growth is approximately 336 percent.

Why is the Financial Times skeptical of the $852 billion valuation?

The Financial Times’ April 13, 2026 report cites three large-cap fund managers who passed on the round despite being invited. Their primary concern is the 35x revenue multiple at a time when comparable public companies trade between 9x and 14x. The FT also raises concerns about OpenAI’s $15 billion annualized cash burn and the $600 billion compute commitment that exceeds OpenAI’s current liquidity by roughly $350 billion.

What is the Stargate project and how does it relate to this funding round?

Stargate is the $500 billion U.S. AI infrastructure consortium first announced in January 2025, anchored by OpenAI, Oracle, and SoftBank. Approximately $19 billion of SoftBank’s $30 billion contribution to the March 31 round is structured as project finance tied to Stargate construction milestones. The cumulative $600 billion compute commitment OpenAI now carries is largely aligned with Stargate’s capacity buildout.

How does Amazon’s $50 billion check affect Microsoft’s role at OpenAI?

Microsoft remains OpenAI’s largest historical investor and a meaningful equity holder following the round, but Amazon’s $50 billion check structurally reduces Microsoft’s percentage ownership and signals the formal end of Azure exclusivity. Analysts expect a renegotiation of the Microsoft-OpenAI revenue-share agreement – currently understood to grant Microsoft 20 percent of revenue through 2030 – within the next 90 to 120 days.

Related Coverage

• OpenAI on AWS Bedrock: $38B Pact Ends Azure Lock-In
• OpenAI Misses 2026 Revenue: WSJ Bombshell Hits Stargate Bet
• Amazon’s $5B Anthropic Bet: 5GW Trainium and $100B AWS Pact
• Anthropic’s $350B Tender Offer Falls Short
• Anthropic vs OpenAI 2026: 30x Revenue Gap and 4x Context Divide
• Big Tech’s $650 Billion AI Infrastructure Bet
• Q1 2026 Venture Capital Hits $297B
• Musk vs Altman Trial: Inside the $130B OpenAI Lawsuit
• Google’s $40B Anthropic Bet
• Best AI Models 2026

External sources and further reading: TechCrunch’s primary report on the $122 billion close; The Verge OpenAI hub; CNBC Technology; OpenAI Wikipedia entry; Ars Technica AI coverage; Statista AI market data; The New York Times Technology section.

Published April 11, 2026. Reporting reflects deal terms disclosed by OpenAI on March 31, 2026 and follow-on coverage through April 11, 2026. All financial figures are sourced from OpenAI’s official announcement, TechCrunch, Bloomberg, the Financial Times, and CNBC.