📊 Full opportunity report: The runway.How enterprise-revenuelock becomes the load-bearing valuation argument. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
OpenAI and Anthropic are preparing record-breaking IPOs, emphasizing enterprise revenue as the core valuation argument amid concerns over margins and profitability. The success of this approach hinges on whether enterprise lock can sustain high multiples.
OpenAI and Anthropic are both preparing to go public in what could be the largest IPOs in history, with enterprise revenue being the central justification for their sky-high valuations. The companies are betting that their enterprise lock — the recurring, contracted revenue from business clients — will sustain their valuation multiples despite ongoing losses and uncertain margins.
OpenAI is targeting a valuation of up to $1 trillion, with an S-1 filing anticipated in the fourth quarter of 2026. It currently generates approximately $25 billion annually, with over 40% of revenue from enterprise customers. However, it is projected to lose around $14 billion in 2026, with profitability not expected before 2030, and gross margins near 33%.
Anthropic is also preparing for a public offering, with a valuation above $900 billion, and has crossed a $30 billion annualized revenue run rate by April 2026. About 80% of its revenue comes from enterprise clients, with some spending over $1 million annually. Its gross margin is around 40%, with internal forecasts aiming for 77% by 2028.
Both companies face skepticism about whether their margins will improve enough to justify their valuation multiples, which are significantly higher than typical public software firms. Industry insiders, including Goldman Sachs and JPMorgan, note that these valuations are heavily reliant on the assumption that enterprise lock will deliver durable, expanding revenue streams.
The runway.
How enterprise-revenue
lock becomes the load-
bearing valuation
argument.
a multiple no incumbent commands
OpenAI racing 40% → parity
forecast the valuation requires
not cash-flow positive before ~2030
$1T target ÷ ~$25B
run-rate revenue
>$900B reported ÷
~$30B run rate
OpenAI gross margin ·
95% of users are free
- ~80% enterprise revenue from the start
- Claude Code >$2.5B, 54% of the coding-tool segment
- ~40% margin today, 77% forecast by 2028
- Ad-free · PBC + Long-Term Benefit Trust
- Risk: a single-product (Claude Code) concentration
- 900M weekly users · enterprise 40% → parity
- Subscriptions + API + ads pilot + government
- Deployment Company >$4B + Tomoro acqui-hire
- The brand name for AI · broadest distribution
- Drag: consumer margin it is racing to offset
compute-burdened
by 2028 ·
inference cost
must fall
the valuation requires it
The runway is the time between the compute bill and the margin that pays it. The IPO is the refueling. And the enterprise lock is the bet that the disruption the agents are causing will, before the runway ends, become an annuity durable enough to justify the largest valuations ever assigned to companies that have never turned a profit.Thorsten Meyer · The Runway · Enterprise Reorg 04
Why Enterprise Lock Is the Key to Valuation
The focus on enterprise revenue as the valuation anchor reflects a shift in how AI companies are being valued publicly. Unlike consumer subscription models, which rely on large user bases with thin margins, enterprise lock offers contracted, recurring revenue that investors see as more sustainable and predictable. This approach aims to justify multiples that are traditionally reserved for established software companies with steady cash flows.
However, the reliance on enterprise lock raises questions about margins and profitability. As both companies are still losing billions, the question remains whether their enterprise revenue streams will generate sufficient margins to support the high valuations. The upcoming IPOs will test whether the market believes these revenue models can deliver the anticipated profitability.
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The Rise of AI as an Enterprise Disruption
Over the past three years, AI labs like OpenAI and Anthropic have shifted their focus from consumer-facing products to enterprise solutions, driven by the need for more durable revenue streams. OpenAI’s ChatGPT and other products have expanded into enterprise markets, with over 40% of its revenue now coming from business clients. Similarly, Anthropic has built a substantial enterprise customer base, with some clients spending over $1 million annually.
This shift reflects a broader industry trend where AI companies are increasingly emphasizing enterprise contracts, which offer predictable revenue and a path to higher margins. The move also coincides with the companies’ preparations for IPOs, where enterprise lock is being positioned as the core justification for their high valuations.
“The enterprise-revenue lock is being asked to do something a consumer-subscription business cannot do — justify a mega-cap multiple on a company that loses billions and has never been profitable.”
— Thorsten Meyer
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Uncertainties Over Margins and Long-Term Profitability
It remains unclear whether the enterprise revenue streams will generate the margins necessary to sustain the high valuations. Both companies are still losing billions, and their path to profitability is uncertain. The upcoming IPO filings and the first audited financial reports will be critical in testing whether the enterprise lock can truly serve as the load-bearing valuation argument.
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Upcoming IPO Filings and Market Testing of Enterprise Revenue
Both OpenAI and Anthropic are expected to file their S-1 documents in late 2026, with public listings possibly occurring in October. The market will scrutinize their financials, margins, and revenue durability, determining whether enterprise lock can justify the valuation multiples or if skepticism will lead to a reassessment of their market value.
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Key Questions
Why are enterprise revenues so important for these IPOs?
Enterprise revenues are viewed as more predictable and durable, making them a key justification for the high valuation multiples that are difficult to support with consumer usage models alone.
What risks do these companies face in relying on enterprise lock?
The main risks include margins remaining thin, enterprise contracts not expanding as expected, and the possibility that the revenue streams may not be as sustainable as assumed, which could undermine their valuations.
How does the current profitability situation affect investor confidence?
With both companies projected to lose billions in 2026, investor confidence hinges on their ability to convert enterprise revenue into margins and profits in the coming years, especially after IPOs.
What will the first audited financials reveal about these companies?
The audited financials will be crucial in confirming whether their revenue models can deliver the margins needed to justify their high valuations and support the enterprise lock thesis.
Source: ThorstenMeyerAI.com
