📊 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 both planning massive IPOs, with valuations above $900 billion, primarily relying on enterprise revenue lock as the core justification. The success of this strategy depends on whether enterprise margins materialize and revenue remains durable.
OpenAI and Anthropic are both preparing for historic IPOs, targeting valuations above $900 billion and $1 trillion respectively, with their filings widely expected in late 2026. The companies are emphasizing enterprise revenue lock as the key justification for these high valuations, despite ongoing concerns about profitability and margins.
OpenAI is generating approximately $2 billion monthly, with enterprise revenue accounting for over 40%, and is projected to lose around $14 billion in 2026. Anthropic has crossed a $30 billion annualized revenue run rate, with about 80% from enterprise clients, and is forecasted to reach 77% gross margins by 2028. Both companies are heavily investing in compute capacity, with commitments in the hundreds of billions of dollars.
Despite these revenue figures, the valuations imply multiples of 25 to 40 times revenue, levels that are uncommon for software companies and challenging to justify solely on consumer usage metrics. Industry observers, including Goldman Sachs and JPMorgan, note that the high multiples are driven by the expectation of enterprise lock, which is viewed as a means to transform uncertain, thin-margin models into more stable revenue streams.
Both companies are betting that their enterprise revenue will serve as a key valuation factor, supporting high multiples despite skepticism about margins and profitability. The IPO is viewed as a test of whether enterprise lock can sustain a valuation that consumer-focused models may not support.
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 Revenue Lock Is Critical for Valuation
The emphasis on enterprise revenue lock reflects a strategic approach by AI labs to justify their high valuations. By highlighting contracted, embedded, and expanding enterprise accounts, these companies aim to demonstrate stability and sustainability in their revenue streams—factors that are generally valued by public markets over the thin margins associated with consumer usage models. This focus could influence future AI and tech IPO strategies, making enterprise lock a key metric for valuation.
However, the actual margins and profitability of these enterprise revenues remain uncertain. If margins do not develop as expected, high valuations could face correction, potentially impacting the broader AI sector. The upcoming IPOs will serve as a practical assessment of whether enterprise lock can support the high valuations claimed by these companies.
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Background of AI Labs’ Valuation Strategies
Over the past three years, OpenAI and Anthropic have significantly increased their revenues, with OpenAI reaching nearly $25 billion annualized and Anthropic exceeding $30 billion. Despite this growth, both companies are unprofitable, with OpenAI projected to incur a loss of around $14 billion in 2026. Their valuations have been driven by growth prospects, user engagement, and anticipated enterprise adoption.
Their IPO preparations indicate a strategic shift from consumer-centric models—characterized by lower margins and uncertain retention—to enterprise-focused revenue streams that are contracted, embedded, and expanding. This transition is motivated by the need to justify high valuation multiples in a market that remains cautious about unprofitable growth.
Industry analysts note that the high multiples are based not only on current revenue but also on the expected durability of enterprise lock, which is viewed as essential to transforming AI companies into sustainable, high-value entities.
“The enterprise lock is being asked to carry the valuation, transforming uncertain models into durable revenue streams that justify the multiples.”
— Thorsten Meyer
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Uncertainties Surrounding Margins and Profitability
It remains uncertain whether the projected margins—such as Anthropic’s forecasted 77% gross margin by 2028—will be achieved at scale. The companies’ current losses and high compute costs pose potential challenges to the sustainability of their revenue streams and valuation assumptions. The upcoming IPO filings and first audited financials will be important in evaluating these projections.
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Upcoming IPO Filings and Market Testing of Enterprise Lock
Both OpenAI and Anthropic are expected to file their S-1 registration statements in late 2026, with IPOs possibly occurring as early as October 2026. The market will scrutinize their first audited financials, margin performance, and the sustainability of enterprise revenue. The outcomes will influence future valuation approaches and perceptions of enterprise lock as a valuation foundation.
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Key Questions
Why are the valuations so high for these AI companies?
The valuations are primarily based on the expectation that enterprise revenue lock will support sustained, high revenue levels, justifying high valuation multiples typically associated with profitable, stable companies.
What is enterprise revenue lock?
Enterprise revenue lock refers to contracted, embedded, and expanding revenue streams from enterprise clients, which are generally considered more predictable and stable than consumer usage-based revenue.
Will these companies become profitable before their IPOs?
It is unlikely; both are projected to incur significant losses in 2026. The focus is on whether margins and revenue stability will support their high valuations at the time of IPO.
How does the enterprise focus impact future AI market valuation?
If enterprise lock proves to be durable and margins develop as projected, it could influence valuation standards, emphasizing contracted enterprise revenue over consumer-based metrics.
What risks do these companies face in their IPO strategies?
Main risks include failure to achieve projected margins, high compute costs impacting margins, or enterprise revenue not being as stable as anticipated, which could lead to valuation adjustments.
Source: ThorstenMeyerAI.com
