OpenAI Files for $1 Trillion IPO: What It Means for AI Users

📖 5 min read

OpenAI filed a confidential S-1 with the SEC around May 22, 2026. The maker of ChatGPT is targeting a September public debut at a valuation of $852 billion to $1 trillion – potentially the largest technology IPO in history. Within weeks, SpaceX (already filed) and Anthropic (targeting October) will follow. Combined, three companies could list at $3.7 trillion in market capitalization, making this the most consequential wave of tech IPOs since the dot-com era.

Here is what you actually need to know before this hits public markets.

The Three IPOs, One by One

Company	Target Date	Expected Valuation	Annualized Revenue	Key Risk
SpaceX (incl. xAI)	June 2026	$1.75 trillion	$18.7B (2025)	AI division cost drag
OpenAI	September 2026	$852B – $1T+	~$25B (Feb 2026)	Missing internal targets
Anthropic	October 2026	~$900 billion	Not disclosed	Pricing after OpenAI sets floor

OpenAI: The Numbers Behind the $1 Trillion Ask

OpenAI’s pitch to public investors is built on genuine scale. ChatGPT has 230+ million weekly active users – more than Twitter had at its peak. Annualized revenue hit $25 billion as of February 2026, up 25% from $20 billion at the end of 2025. The company raised $122 billion in committed capital in its most recent round (the largest private funding round in history), including $40 billion from SoftBank in early 2026.

Goldman Sachs and Morgan Stanley are handling the deal. The timing is no accident: OpenAI just won a major legal victory against Elon Musk, with a jury ruling his claims were time-barred. That removed the biggest cloud over the company’s corporate structure and finances. Dan Ives of Wedbush Securities called it “a great one-two punch to start to put water on the negative fire.”

But the honest version of the story includes the problems. OpenAI has missed internal revenue and user growth targets. CFO Sarah Friar has warned that sluggish revenue could limit the company’s planned data center buildout – even as it has committed to $600 billion in five-year spending on semiconductors and infrastructure. There is also an internal disagreement on timing: Altman pushed for a faster IPO than Friar preferred. Running GPT-5.5 for hundreds of millions of users at scale requires enormous ongoing GPU costs, and the path to sustainable profitability is not yet clear.

SpaceX Sets the Stage

SpaceX filed its public S-1 on May 20 and is targeting a Nasdaq listing under the ticker SPCX as early as June 11-12. The expected valuation is $1.75 trillion. This IPO goes first deliberately – it sets a market reference point for AI-adjacent infrastructure before OpenAI and Anthropic price.

SpaceX is no longer just a rocket company. After merging with Elon Musk’s xAI in February 2026, it now operates Starlink (satellite internet, profitable and growing), the Colossus data center (220,000+ Nvidia GPUs), and SpaceXAI – the merged AI division that includes the Grok model family. The company had $18.7 billion in 2025 revenue across all divisions. How public markets price SpaceX will directly inform how they price OpenAI one quarter later.

Anthropic: Last In, Best Positioned?

Anthropic’s October target is strategic. By listing last, it can use SpaceX and OpenAI valuations as benchmarks and pitch itself as the undervalued alternative. The company is targeting a $900 billion valuation and expects to report its first quarterly operating profit before it lists. It recently acquired developer-tools startup Stainless for SDK and Model Context Protocol tooling, and hired Andrej Karpathy to lead pre-training research.

Anthropic’s pitch is differentiated: higher revenue growth rate than OpenAI, enterprise focus rather than consumer, and Claude’s demonstrated lead in professional coding tasks. Whether a $900 billion price tag reflects that differentiation – or just tracks the OpenAI comparables – will depend on the market’s mood come October.

Why This Wave Matters Beyond Stock Prices

Three things change when AI companies go public:

1. Quarterly transparency. Right now, revenue, cost, and user figures from OpenAI and Anthropic are leaks and estimates. S-1 filings will force disclosure of real numbers – subscriber counts, churn rates, gross margins, capital expenditure. For the first time, there will be audited data on whether the AI boom is financially real.

2. Pressure on pricing. Public companies face pressure to hit quarterly targets. That can cut both ways – it could accelerate price increases (OpenAI and Anthropic are both expected to raise API prices post-IPO) or force cuts to spending on model development. Either affects every developer and business building on these platforms.

3. Retail access. Millions of ordinary investors will be able to buy a direct stake in the AI companies they use every day. That creates a feedback loop: high retail demand could push valuations higher, attracting more capital to AI development. But it also means millions of people could lose money if the growth story doesn’t deliver.

The Honest Risk Assessment

At $1 trillion, OpenAI would be priced at 40x annualized revenue. For comparison, Microsoft trades at roughly 12x revenue. Apple at roughly 8x. The only comparable is the peak SaaS era – companies like Snowflake that listed at extreme multiples and then spent years growing into those valuations (or didn’t).

OpenAI’s bear case: it is fundamentally a model company in a commoditizing market, with open-source alternatives (Meta’s Llama family, DeepSeek) improving rapidly. The $600 billion capex commitment assumes continued GPU cost dominance that could erode. Missing internal targets before the IPO is a warning sign, not a footnote.

OpenAI’s bull case: network effects from 230 million users, enterprise contracts that create switching costs, and a product roadmap (agentic AI, Codex, healthcare) that goes well beyond a chatbot. If the $25 billion revenue run rate accelerates to $40-50 billion by 2027, the current valuation starts to look reasonable.

BetOnAI Verdict

This is the moment AI becomes a publicly traded asset class. The $3.7 trillion combined valuation is unprecedented and mostly speculative – no AI-native company at this scale has yet proven it can sustain profitability at the margins public markets expect.

For investors: the IPOs will be heavily oversubscribed. Post-listing performance will depend on whether the disclosed financials match the hype. Watch the S-1 cost structure carefully – gross margins and compute costs will tell you more than any revenue headline.

For users and builders: expect price increases on API and consumer plans as public companies optimize for quarterly margins. Lock in annual contracts before the listings if you’re budget-sensitive.

For everyone else: this is the dot-com moment for AI – with one key difference. These companies have real, massive revenue. That does not guarantee the valuations are right. But it does mean the underlying business is not fiction.

The filings will be public within weeks. Read them.

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Sources:

• Wall Street Journal: OpenAI IPO Filing Report
• Bloomberg: OpenAI IPO Confirmation
• TechCrunch: OpenAI September Timeline
• CNBC: AI IPO Race Analysis
• OpenTools AI: OpenAI IPO Details
• TechJournal: $3.7 Trillion IPO Wave
• Sacra Research: OpenAI Revenue Estimates