📊 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 for historic IPOs, with valuations driven mainly by enterprise revenue. This shift highlights the importance of enterprise lock in sustaining high multiples despite profitability uncertainties.
OpenAI and Anthropic are both preparing for major initial public offerings, with valuations potentially exceeding $900 billion, relying heavily on enterprise revenue to justify these figures amid ongoing losses and uncertain margins.
OpenAI is expected to file its S-1 in the fourth quarter of 2026, targeting a valuation near $1 trillion, with current revenue around $25 billion annually and a significant portion from enterprise clients. Anthropic is in talks for a valuation above $900 billion, with an annualized revenue of over $30 billion, predominantly from enterprise customers. Both companies are losing billions annually, with OpenAI projected to lose approximately $14 billion in 2026, and profitability not expected before 2030. Despite high revenues, their gross margins are relatively low—around 33% for OpenAI and 40% for Anthropic, though Anthropic forecasts margins reaching 77% by 2028. The core valuation argument hinges on enterprise lock—a contracted, embedded revenue stream that is perceived as more durable and justifying high multiples, even amid uncertain margins and profitability timelines. Goldman Sachs, JPMorgan, and Morgan Stanley are actively involved, signaling intense investor interest.The emphasis on enterprise revenue reflects a strategic shift: these labs aim to convert enterprise lock into the load-bearing valuation argument before public markets demand audited proof of profitability. The approach is a reflexive loop—enterprise revenue fuels valuation, which funds compute capacity, which in turn develops new AI agents that generate further enterprise revenue. This cycle is viewed as critical to sustaining the high valuations, but it remains uncertain whether margins will improve enough to support these multiples long-term.
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 Central to AI IPO Valuations
This development matters because it signals a fundamental shift in how AI companies are valued in public markets. Instead of relying on consumer usage or profitability, the focus is on contracted, embedded enterprise revenue as the key indicator of durability and growth potential. If successful, this could establish a new standard for valuing AI and software companies, emphasizing enterprise lock as a proxy for long-term value. However, the approach also raises questions about margin sustainability and whether these high multiples are justified without proven profitability, making the upcoming IPO disclosures critical tests of the thesis.
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The Evolution of AI Valuation Strategies
Over the past three years, AI labs like OpenAI and Anthropic have transitioned from consumer-focused models to enterprise-centric revenue streams. OpenAI’s revenue has grown rapidly, with enterprise now making up over 40% of its income, while Anthropic has shifted its focus to enterprise clients, with 80% of its revenue coming from them. Both are investing heavily in compute infrastructure, with commitments in the hundreds of billions of dollars, to support their AI agents. Historically, high valuations in tech have been tied to profitability or user growth, but these companies are now emphasizing the durability and embedded nature of enterprise contracts as the core of their valuation models. The upcoming IPOs will be the first major tests of whether this enterprise lock can sustain the high multiples seen in private markets.
“The core valuation argument hinges on enterprise lock—a contracted, embedded revenue stream that is perceived as more durable and justifying high multiples, even amid uncertain margins and profitability timelines.”
— Thorsten Meyer
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Uncertainties About Margins and Profitability
It remains unclear whether the high multiples justified by enterprise lock will hold once the companies are required to produce audited financials. Margins are currently thin, and profitability is years away, raising questions about whether the embedded revenue will be sufficient to sustain these valuations long-term. The actual margins that will materialize, and whether they will be enough to justify the multiples, are still uncertain. Additionally, market appetite for such high valuations amid ongoing losses is not guaranteed, and investor skepticism remains about the sustainability of the enterprise lock thesis.
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Upcoming IPO Disclosures and Market Tests
The next step is the filing of the S-1 documents by OpenAI and Anthropic, expected in late 2026, which will include audited financials and margins. These disclosures will be critical in testing whether enterprise lock can truly support the high valuation multiples. Investor reactions and analyst assessments following these filings will determine if the valuation thesis holds or if adjustments are needed. Additionally, market performance post-IPO will reveal whether the enterprise-focused valuation approach can withstand public scrutiny and sustained profitability.
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Key Questions
Why are enterprise revenues so important for AI IPO valuations?
Enterprise revenues are viewed as more durable, contracted, and embedded within workflows, making them more reliable indicators of long-term value, especially when consumer usage is thin and margins are uncertain.
What risks do these high valuations pose for investors?
The main risk is that margins may not improve enough to justify the high multiples, and profitability may remain years away. If enterprise lock does not translate into sustainable margins, valuations could decline.
How will the upcoming disclosures impact the market?
The audited financials in the IPO filings will be a key test of whether the enterprise revenue model can support the high valuation multiples. Market reactions will influence the future of AI company valuations.
Are these strategies unique to AI labs or part of a broader trend?
While focused here on AI labs, the emphasis on enterprise lock as a valuation anchor reflects a broader shift in software and tech industries, where recurring, contracted revenue streams are increasingly valued over immediate profitability.
Source: ThorstenMeyerAI.com
