📊 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 preparing large IPOs in 2026, emphasizing enterprise revenue as the key to justify high valuations. The success of this approach depends on whether enterprise lock can sustain the valuation amid margin and profitability concerns.
OpenAI and Anthropic are both preparing to go public in 2026, with valuations approaching or exceeding $900 billion, emphasizing enterprise revenue as the core justification amid ongoing profitability concerns.
OpenAI is projected to reach a valuation near $1 trillion, with a revenue run rate of approximately $25 billion annually, driven largely by enterprise clients now accounting for over 40% of its revenue. Despite this, it is expected to lose around $14 billion in 2026, with margins near 33%, and profitability not projected before 2030. Anthropic, meanwhile, has crossed a $30 billion annualized revenue mark, with about 80% coming from enterprise customers, and is targeting a valuation above $900 billion, with a forecasted gross margin of up to 77% by 2028. Both companies are sitting on substantial compute commitments, measured in hundreds of billions of dollars, which underscores the scale of their operations. However, their high valuations are driven more by the promise of enterprise lock—contracted, embedded, and expanding revenue streams—than by current profitability or margins. Industry sources like Goldman Sachs, JPMorgan, and Morgan Stanley are circling both IPOs, reflecting the enormous market interest and the high stakes involved. The core argument for these valuations is that enterprise revenue, unlike consumer usage, offers durable, predictable, and expanding income streams that can justify multiples of 25 to 40 times revenue, even if profitability remains distant.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 Valuation
The emphasis on enterprise revenue as the main valuation driver signifies a shift in how AI companies are viewed by public markets. Unlike consumer-focused models with thin margins and uncertain retention, enterprise contracts are seen as more stable and scalable, enabling these labs to justify their lofty valuations despite current losses. This approach also reflects a broader industry trend: the race to convert enterprise lock into a load-bearing valuation argument before markets demand audited proof of profitability. If successful, this could reshape how future AI companies are valued, prioritizing contracted, embedded revenue streams over immediate profits.
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The Rise of Enterprise Revenue in AI IPOs
Over the past three years, OpenAI and Anthropic have shifted focus from consumer-facing AI to enterprise solutions, driven by the need for scalable, predictable revenue. OpenAI, with its ChatGPT platform, has amassed roughly 900 million weekly active users, with enterprise now contributing over 40% of revenue. Despite this growth, OpenAI’s financials show significant losses, with a projected $14 billion loss in 2026, and margins around 33%. Anthropic has experienced rapid revenue growth, crossing a $30 billion annualized run rate by April 2026, with the majority coming from enterprise clients, many spending over $1 million annually. Both companies’ strategies hinge on securing enterprise lock to support their high valuations, which are based on multiples that public markets typically reserve for profitable, contracting software businesses.
“The core of these IPOs is the enterprise lock—contracted, expanding revenue streams—that is being used to justify valuations that the current profitability and margins do not support.”
— Thorsten Meyer
Cloud Computing for Enterprise Architectures (Computer Communications and Networks)
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Uncertainties Surrounding Margins and Profitability
It remains unclear whether the margins and profitability levels projected by both companies will materialize as expected. OpenAI’s gross margin is near 33%, with losses projected to continue into the late 2020s, raising questions about the sustainability of its valuation. Anthropic’s forecasted margins of up to 77% by 2028 are internal and aggressive, and whether these can be achieved at scale is uncertain. Additionally, the actual durability of enterprise lock—whether contracts will renew and expand as anticipated—remains untested in the public markets, which will scrutinize audited financials and margins during the IPO process.
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Next Steps in Testing the Enterprise Valuation Thesis
The upcoming IPO filings will include audited financials, providing the first real test of whether enterprise lock can sustain the high multiples claimed. Investors will closely examine margins, contract renewals, and the scalability of these revenue streams. The first audited quarter post-IPO will be critical in confirming whether the valuation thesis holds or if the market adjusts expectations downward. Additionally, further disclosures around profitability, cash burn, and operational efficiency will influence the trajectory of both companies and set precedent for future AI IPOs.
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Key Questions
Why are enterprise revenues so important for these IPOs?
Enterprise revenues are viewed as more stable, predictable, and scalable than consumer usage, making them more suitable for supporting high valuation multiples despite current losses.
Can the margins and profitability projections be trusted?
While optimistic projections exist, actual margins and profitability are still unproven at scale, and the upcoming audited financials will be critical in validating these claims.
What risks do these companies face in their IPOs?
Key risks include whether enterprise contracts will renew and expand as expected, if margins will materialize, and if the high valuations are justified without immediate profitability.
How does the enterprise lock influence overall AI industry valuation?
It sets a precedent that contracted, embedded revenue streams can justify high multiples, potentially shaping valuation strategies for future AI and tech companies.
Source: ThorstenMeyerAI.com
