OpenAI's potential $60bn IPO could reset the pricing anchor for AI public markets

Overview

This report is Deutsche Bank's quick read on OpenAI's potential record-breaking IPO plan. It argues that if OpenAI moves ahead with a listing amid the AI boom, the key backdrop is strong investor demand for public-market exposure to pure-play AI companies, while the available names currently lean heavily toward semiconductors, cloud infrastructure, or AI application chains. The prospective deal size is enormous: media reports suggest OpenAI may raise about $60bn at a valuation above $1trn, far above Saudi Aramco's $25.6bn, the largest IPO in history.

Core views

The report's central view is that if the OpenAI IPO happens, it would be more than a financing event for a single company; it would be a key case study for public-market pricing of the AI foundation-model industry. Its high valuation can be explained by investor appetite for long-term AI growth, the share-price expansion of the Magnificent Seven since ChatGPT's launch, Nvidia's leap in market value, and a more favorable AI IPO window. At the same time, the report remains cautious: OpenAI is not yet profitable, public markets will want to see financial statements and business economics, and it is unclear whether the market would accept a valuation above $1trn.

Analysis framework

The report uses an event-driven and historical-comparison framework, comparing OpenAI's potential IPO with Saudi Aramco, Alibaba, Meta/Facebook and other large offerings, while also placing a potential $60bn raise in the context of total annual U.S. IPO financing since 1980. In addition, it uses the market caps, revenues, and profits of large companies such as Nvidia, Berkshire Hathaway, and Eli Lilly as valuation references to assess where OpenAI would rank globally if it reached a $1trn valuation.

Methodology notes

• Event-driven researchIPO event interpretation

  Analyze the investment implications of the reported listing timing, fundraising size, and valuation.

  Rather than providing a model-based valuation, the report gives a quick assessment of market supply, investor demand, and AI asset pricing based on the potential listing event.

• Relative comparisonHistorical IPO size comparison

  Compare OpenAI's potential $60bn raise with past mega-IPOs and total annual U.S. IPO fundraising.

  This method highlights the historical scarcity of a deal of this size and shows that a single AI IPO could approach or exceed total U.S. IPO proceeds in many years.

• Market capacity analysisPublic-market absorption capacity

  Use total U.S. equity market capitalization, IPO counts, and historical cycles to compare whether the market can absorb multiple mega-scale AI IPOs.

  The report notes that the U.S. stock market is about $70trn in size, roughly five times the nominal scale at the height of the internet bubble, but current IPO volumes are far below the late 1990s.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• OpenAI

  Research focus and potential IPO issuer

  Strengths

  It has the ChatGPT brand, a leading foundation-model position, strong investor attention, and clear progress toward enterprise monetization and a more defined relationship with Microsoft.

  Weaknesses

  The report says the company is not yet profitable, the economics of its business model remain insufficiently transparent, and it will face public-market financial scrutiny after listing.

  Comparison

  If valued above $1trn, it would approach the range of the world's top fifteen companies by market cap and far exceed most historical IPO sizes.

  Risks

  Overvaluation, insufficient profitability, unclear foundation-model cost structure, and regulatory and competitive pressure.

• Anthropic

  OpenAI's main foundation-model competitor and potential IPO rival

  Strengths

  The report says its sales have already surpassed OpenAI's and may reach about $40bn in annualized recurring revenue.

  Weaknesses

  It also faces the need to validate high valuation, capital requirements, and business model sustainability.

  Comparison

  Media reports say Anthropic may also seek an IPO above $60bn and has discussed financing at around a $900bn valuation, potentially approaching or exceeding OpenAI on valuation.

  Risks

  Competing with OpenAI for the IPO window could create market-supply pressure and intensify investor concerns about an AI valuation bubble.

• Nvidia

  The public-market name that currently offers the closest large pure-play AI exposure

  Strengths

  The report says its market cap is about $5.4trn, its share price has risen more than 13-fold since ChatGPT launched, and it benefits from demand for AI infrastructure.

  Weaknesses

  Its exposure is tilted toward AI hardware and infrastructure rather than foundation-model application revenue itself.

  Comparison

  Before OpenAI and Anthropic list, Nvidia is an important substitute for investors seeking AI theme exposure.

  Risks

  If pure-play AI model companies list, capital preferences may be reallocated within the AI value chain.

• U.S. IPO market

  Potential receiving market

  Strengths

  The total U.S. stock market is about $70trn, a nominal scale far larger than during the internet bubble.

  Weaknesses

  IPO counts are low at this point in the century, and multiple mega AI IPOs could test market liquidity and risk appetite.

  Comparison

  A single $60bn IPO would exceed U.S. annual IPO proceeds in most years since 1980 and would be below only a few peak years.

  Risks

  Concentrated supply, valuation pullback, or shifts in macro rates or risk appetite could affect the listing window.

Key data

• OpenAI latest valuation$852bnThe report says OpenAI was valued at $852bn after its latest funding round at the end of March.
• Potential IPO sizeabout $60bnMedia reports say OpenAI may plan to raise about $60bn through an IPO.
• Potential IPO valuationabove $1trnIf achieved, this would place OpenAI near the top tier of global market-cap rankings.
• Historical IPO referenceSaudi Aramco $25.6bnSaudi Aramco's 2019 IPO size was $25.6bn; OpenAI's potential scale would be more than double that.
• OpenAI annualized revenueabout $30bnThe report says OpenAI is reportedly on track to reach about $30bn in annualized revenue this month, but it is not yet profitable.
• Anthropic annualized revenueabout $40bnThe report says Anthropic's sales last month exceeded OpenAI's and it may reach $40bn in annualized recurring revenue this month.
• Total size of U.S. stock marketabout $70trnThe report uses this figure to illustrate how absorbable several hundred-billion-dollar IPOs would be relative to the overall market.
• U.S. IPO proceeds in 2021$119bnThe report says 2021 was a record year, and a potential $60bn IPO would be about half of that.
• Cerebras IPO$6.4bnThe report says Cerebras was that year's largest IPO, with first-day share price gains of about two-thirds and a market cap of around $67bn.
• Nvidia market capabout $5.4trnThe report says Nvidia is currently the public-market name most closely aligned with a large pure-play AI exposure, and its share price has risen more than 13-fold since ChatGPT launched.

Impact & implications

If OpenAI goes public successfully, it could establish a public-market valuation anchor for foundation-model companies and accelerate Anthropic and other AI companies' pursuit of the IPO window. For the secondary market, this may divert some investor flows away from semiconductors, cloud infrastructure, and big tech platforms toward more direct exposure to the AI model layer; for the IPO market, a mega-sized AI deal would test market capacity and risk appetite. The real turning point will be whether investors, after seeing public financial disclosures, accept an AI business model with high capital spending, rapid growth, but an unclear path to profitability.

Risks

• After OpenAI and peers list, financial disclosures may expose pressure on profitability, cash burn, and unit economics.
• The simultaneous appearance of multiple AI IPOs valued in the hundreds of billions of dollars could exceed the market's short-term absorption capacity.
• The business model for foundation-model AI is still evolving rapidly, and the relationship between revenue growth, capital expenditure, and compute costs remains unclear.
• High valuations are extremely sensitive to growth expectations; if enterprise customer growth, product pricing, or model advantages disappoint, valuations could come under pressure.
• The division of AI value among Nvidia, cloud providers, application companies, and foundation-model companies remains uncertain.
• Regulation, copyright, data usage, model safety, and competitive litigation could affect the listing pace and valuation of AI companies.

What to watch

• Whether OpenAI formally files confidential IPO documents and whether the final listing timing is close to the September window reported by the media.
• Whether the IPO raise approaches $60bn and the offering valuation exceeds $1trn.
• Revenue, gross margin, compute costs, cash flow, loss scale, and enterprise customer retention disclosed in the prospectus.
• Whether the Microsoft partnership, commercial terms, and potential profit-sharing arrangements become clearer.
• Whether Anthropic advances toward an IPO or a large financing round at the same time, and whether its valuation exceeds OpenAI's.
• After AI IPO supply increases, changes in fund flows into Nvidia, cloud services providers, and the Magnificent Seven as existing AI-theme assets.
• Subsequent trading performance of AI-related IPOs such as Cerebras as a leading signal of market risk appetite.