📊 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, relying heavily on enterprise revenue to justify valuations despite uncertain margins and profitability. The core argument is that enterprise lock is the load-bearing factor in their valuation models.
OpenAI and Anthropic are both preparing for initial public offerings in 2026, with valuations projected above $900 billion, primarily justified by their enterprise revenue streams amid ongoing questions about margins and profitability.
OpenAI is targeting a valuation of up to $1 trillion, with an S-1 filing expected in the fourth quarter of 2026. It currently generates roughly $2 billion monthly, with over 40% of revenue coming from enterprise clients, and is on track to reach parity with consumer revenue by the end of 2026. However, it is projected to lose around $14 billion in 2026, with gross margins near 33%.
Anthropic is in talks to raise over $900 billion in valuation, with a potential public listing as early as October 2026. It reported an annualized revenue of over $30 billion by April 2026, with 80% from enterprise customers, and has a gross margin of approximately 40%, aiming for 77% by 2028. Both companies are investing heavily in compute capacity, with commitments in the hundreds of billions.
Despite high revenue figures, skepticism remains about whether margins will improve enough to justify the high multiples—40x revenue at a $25 billion run rate—especially since profitability is years away, and the valuation relies heavily on enterprise lock as the core justification.
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 Defines the IPO Valuation Strategy
The focus on enterprise revenue as the main valuation driver reveals how AI labs aim to convert their disruption into durable, monetizable revenue streams. This approach aims to justify mega-cap valuations despite ongoing losses and thin margins, emphasizing the importance of embedded, contracted enterprise relationships in sustaining long-term value.
Moreover, the reliance on enterprise lock underscores a broader shift in how AI companies are perceived—less as consumer products and more as integral parts of enterprise workflows, which public markets tend to value more favorably. The upcoming IPOs will test whether this strategy can withstand scrutiny and convert perceived disruption into actual, sustainable valuation.

SQL Server 2025 Unveiled: The AI-Ready Enterprise Database with Microsoft Fabric Integration
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Rise of Enterprise Lock in AI Valuations
Over the past three years, AI companies like OpenAI and Anthropic have shifted focus from consumer-facing models to enterprise solutions, driven by the need for durable, contracted revenue streams. OpenAI’s growth to over 900 million weekly active users and Anthropic’s rapid revenue increase reflect this transition. Both firms have heavily invested in compute infrastructure, with commitments in the hundreds of billions, to support their AI agents and enterprise services.
Prior to this, AI valuations were largely driven by user growth and engagement metrics. Now, the narrative has evolved: the core value lies in enterprise lock-in, where recurring revenue and embedded workflows serve as the foundation for high multiples, despite uncertainties about margins and profitability.
“The enterprise-revenue lock is being asked to justify mega-cap multiples on companies that are still losing billions and have yet to turn a profit.”
— Thorsten Meyer
cloud compute capacity for AI
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Uncertainties Surrounding Margins and Profitability
It remains unclear whether the margins necessary to justify high valuations will materialize before the companies burn through their capital. Both OpenAI and Anthropic face questions about whether their enterprise revenue will become sufficiently profitable to support the valuation multiples, especially given their current losses and high compute costs.
Furthermore, the upcoming IPO filings will be scrutinized through the lens of audited financials, which may reveal gaps between projected margins and actual performance, potentially impacting investor confidence.

Data Center Storage
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps: IPO Filings and Market Testing
OpenAI and Anthropic are expected to file their S-1 documents in late 2026, which will include detailed financial disclosures and margin forecasts. The market will then evaluate whether enterprise lock can sustain the high valuations, with investor sentiment likely to hinge on the companies’ ability to demonstrate improving margins and operational efficiency.
Additionally, the performance of the IPOs will influence future AI company valuations and the broader perception of enterprise AI as a durable revenue model.

Learn Mistral: Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
Why are enterprise revenues so important for AI IPO valuations?
Enterprise revenues are considered more stable, contracted, and embedded in workflows, making them more attractive for high valuation multiples compared to consumer usage models with thin margins and uncertain retention.
What risks do these valuations face?
The primary risks include whether margins will improve enough to justify the multiples, if profitability will be achieved before capital runs out, and whether market skepticism about the high valuations will lead to a valuation correction.
How does enterprise lock influence the long-term value of these companies?
Enterprise lock aims to create durable, recurring revenue streams that can sustain high valuations, but its success depends on margins, customer retention, and the ability to scale profitably.
Will the upcoming IPO filings include audited financials?
Yes, the filings are expected to include audited financial statements, which will provide more transparency on margins, losses, and revenue sustainability, crucial for investor decision-making.
What could cause the valuation thesis to fail?
If margins do not improve as expected or if the companies fail to demonstrate profitability, the high multiples based on enterprise lock could be challenged, leading to potential valuation declines.
Source: ThorstenMeyerAI.com