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AI: Jobs, Power & Money
15MAY

OpenAI heads to market losing money

4 min read
15:55UTC

OpenAI confirmed its IPO filing on 9 June, targeting a September listing above $1 trillion. Reported figures show roughly $2bn a month in revenue against a projected $14bn operating loss for 2026, with no positive cash flow expected until about 2030.

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EconomicDeveloping
Key takeaway

OpenAI is chasing a $1 trillion listing while losing close to 58 cents on every dollar of revenue it earns.

OpenAI filed a confidential draft prospectus with US regulators around 22 May and confirmed it publicly on 9 June, aiming for a public listing, an initial public offering, as early as September with Goldman Sachs, Morgan Stanley and JPMorgan underwriting 1. OpenAI is the San Francisco company behind ChatGPT and the primary demand driver for global AI infrastructure spending; an IPO would be the first time it opens its accounts to public investors.

The figures reported around the filing describe a company taking in roughly $2bn a month, about $24bn annualised, against a projected operating loss near $14bn for 2026, with no positive cash flow expected until about 2030. The public-listing target sits above $1 trillion, against an $852bn valuation set by a roughly $122bn fundraising round in March, with Amazon, Nvidia and SoftBank among the backers. These are reported figures attached to a confidential filing, not numbers drawn from a public prospectus, so each should be read as projected pending the S-1.

If the reported numbers hold, the arithmetic sets the terms. A $14bn loss against $24bn of revenue runs close to 58 cents lost for every dollar earned, which makes the shortfall the running cost of staying open rather than a one-off. A $1 trillion target prices the 2030 breakeven as near-certain, leaving thin margin if training costs climb or enterprise demand softens.

The loop closes on its own product. The same model whose jailbreak triggered the Anthropic suspension, GPT-5.5, remains on sale under OpenAI even as the lab chases a public listing at a loss-making run-rate . The engine behind much of the displacement this desk has tracked all year does not yet pay for itself, and OpenAI is asking the public to carry the gap until it might.

Deep Analysis

In plain English

OpenAI is the American company behind ChatGPT, the AI chatbot that became the fastest-growing consumer product in history. The company has told investors it wants to sell shares to the public in September 2026, at a total value above one trillion dollars. On reported figures, OpenAI takes in about two billion dollars a month in revenue but projects a loss of about fourteen billion dollars for 2026, roughly 58 cents lost for every dollar earned, with no positive cash flow expected until around 2030. An IPO above one trillion dollars asks ordinary investors to fund those four years of losses in exchange for a stake in a company that does not yet pay for itself. Amazon ran a similar loss-funded model from its 1999 IPO through its first profitable quarter in late 2001; the difference here is the scale, with OpenAI's projected 2026 loss running roughly 19 times Amazon's 1999 shortfall.

What could happen next?
  • Risk

    If the S-1 discloses a 2030 breakeven that requires revenue tripling and training-cost halving simultaneously, public-market scrutiny may trigger a WeWork-style re-pricing of the private AI market, affecting not only OpenAI but every AI company that took funding at 2025-26 valuations.

    Short term · Suggested
  • Consequence

    A successful OpenAI listing above $1 trillion would pressure Anthropic, Mistral, and other private frontier labs to file their own IPOs or take structurally similar growth-funded loss positions, sustaining the AI infrastructure spending that drives the displacement cycle.

    Medium term · Suggested
  • Opportunity

    Public-market scrutiny of OpenAI's S-1 will, for the first time, subject the displacement thesis, specifically whether AI-generated productivity gains justify the job-cut rate, to investor due diligence and analyst coverage across Goldman Sachs, Morgan Stanley, and JPMorgan research divisions.

    Short term · Assessed
  • Precedent

    Goldman Sachs and JPMorgan, which underwrite the OpenAI IPO, have simultaneously published the leading AI-displacement research and, in JPMorgan's case, confirmed internal AI displacement of staff. Their underwriting of a loss-funded AI company while documenting its displacement effects sets a precedent for institutional finance funding the transition.

    Long term · Assessed
Sources:Fortune
Mentions:OpenAI →Goldman Sachs →Morgan Stanley →JPMorgan Chase →ChatGPT →GPT-5.5 →San Francisco →SoftBank →Nvidia →Anthropic →Amazon →
First Reported In

Update #13 · Washington pulls a live AI model

Fortune· 13 Jun 2026
Read original →
Causes and effects
Caused by
AI super PACs spend $150m on primaries
The OpenAI camp backed the anti-regulation PAC; OpenAI's IPO filing is the parallel corporate action in the same period.
Occurred 2 Jun 2026
Read story →
This Event
OpenAI heads to market losing money
The company driving the demand behind this year's AI layoffs is asking public markets to fund years more of losses before its tools pay for themselves.
Different Perspectives
India IT services and global capability centre workforce
India IT services and global capability centre workforce
India's in-house GCCs added roughly 200,000 net staff in fiscal 2026, nearly double the 110,000 added by the IT services firms feeding the same companies. The shift moves work toward captive centres while squeezing entry-level hiring at the outsourcing firms, reshaping where Indian tech careers begin as US clients cut staff at home.
EU workers and European labour institutions
EU workers and European labour institutions
The 93-4 committee vote locked the diluted Omnibus literacy clause before plenary: EU workers in AI-augmented but non-high-risk workplaces have no statutory right to demand an explanation until December 2027. The European Trade Union Confederation called the shift from 'ensure' to 'support' a legal threshold collapse, not a drafting compromise.
UK workforce and labour market
UK workforce and labour market
UK 16-to-24 unemployment reached 16.2% in the latest ONS reading, above the 15.2% pandemic peak and the highest since 2015. Britain is among the most AI-exposed labour markets this desk tracks, yet the Office for National Statistics still publishes no AI-attribution layer, so young workers face the displacement without official data naming its cause.
Anthropic and frontier AI labs subject to US jurisdiction
Anthropic and frontier AI labs subject to US jurisdiction
Anthropic complied with the directive but publicly disputed its application, citing that OpenAI's GPT-5.5 carried the identical jailbreak vulnerability and remained on sale. For any US-domiciled frontier lab, the action demonstrates that regulatory compliance and political alignment are now distinct variables: Anthropic backed the pro-regulation PAC and was the first lab Washington reached.
US national-security and export-control apparatus
US national-security and export-control apparatus
The Lutnick directive treats runtime inference access by a foreign national as legally equivalent to exporting Claude Fable 5 and Mythos 5 to that person's home country. It established that a deployed consumer AI product can be withdrawn globally by regulatory letter, with no appeal period and no customer notice.
European workers and regulators
European workers and regulators
NBER working paper w34995 found European workers use generative AI at 32% versus 43% of US workers, a gap driven by management practice rather than regulation. The EU AI Act's high-risk employment deadline stays at December 2027, leaving European workers facing the same displacement curve two to four years behind the US.