📊 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 pursuing IPOs with valuations exceeding $900 billion, heavily relying on enterprise revenue lock as the core justification. The success of this strategy depends on whether margins and profitability materialize as expected.
OpenAI and Anthropic are both preparing to go public in 2026, with valuations potentially exceeding $900 billion, based on their enterprise revenue streams rather than consumer metrics. This marks a pivotal moment where enterprise-revenue lock is being positioned as the core valuation justification, amid concerns about margins and profitability.
OpenAI is targeting a valuation near $1 trillion, with a revenue run rate of approximately $25 billion annually, over 40% of which now comes from enterprise clients. Despite this, it is projected to lose around $14 billion in 2026, with profitability not expected before 2030. Its gross margin is about 33%, and it has committed hundreds of billions of dollars in compute capacity.
Anthropic, meanwhile, has crossed a $30 billion annualized revenue mark, with about 80% from enterprise customers. Its gross margin is around 40%, with internal forecasts aiming for 77% by 2028. The company is also sitting on large compute commitments, with a focus on enterprise contracts that generate recurring revenue.
Both companies are emphasizing enterprise revenue as the key to their high valuations, despite the fact that their consumer-facing offerings—such as AI chatbots—are still expanding and have thin margins. Experts note that these valuations are based on multiples (up to 40x revenue) that public software companies typically do not command, raising questions about sustainability.
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
Implications of Enterprise Lock for AI Valuations
The emphasis on enterprise revenue lock as the valuation foundation signifies a shift in how AI companies are being valued in the public markets. It reflects investor confidence that contracted, embedded enterprise revenue can justify high multiples despite ongoing losses and uncertain margins. This approach could reshape standards for future AI IPOs and influence industry funding strategies.
However, skeptics warn that the margins necessary to sustain these valuations are not yet proven, and the heavy compute investments might erode profitability before the revenue streams can deliver the expected returns. The upcoming IPO filings will serve as a test of whether the enterprise lock can truly support the lofty multiples claimed.
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From Consumer to Enterprise: The Shift in AI Valuations
Over the past three years, AI labs like OpenAI and Anthropic shifted focus from consumer applications to enterprise services, aiming to build durable, recurring revenue streams. Both companies have grown rapidly, with OpenAI generating nearly $2 billion monthly and Anthropic expanding its enterprise contracts significantly. These developments have prompted a reevaluation of valuation metrics, moving away from user-based metrics towards enterprise lock as the core value driver.
This transition aligns with broader industry trends where enterprise software and services command higher multiples, especially when revenue is contracted and embedded into workflows, providing a more stable foundation for valuation than consumer usage patterns.
“The core of these IPOs is the enterprise-revenue lock, which is being positioned as the load-bearing element justifying valuations that are otherwise hard to explain based on current profitability.”
— Thorsten Meyer
cloud compute capacity for AI
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Unproven Margins and Future Profitability Risks
It remains unclear whether the margins necessary to sustain these high valuations will materialize, especially given the massive compute costs and ongoing losses. The upcoming IPO filings and quarterly reports will be critical in testing whether the enterprise lock can indeed carry the valuation multiples claimed by the companies.
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Upcoming IPO Filings and Market Testing
The next step is the filing of the formal S-1 documents by OpenAI and Anthropic, expected in late 2026. These filings will include audited financials and detailed disclosures, providing the first real test of whether the enterprise-revenue lock justifies the high valuation multiples. Investor reactions and market performance post-IPO will determine if this valuation approach is sustainable or if adjustments will be necessary.
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Key Questions
Why are enterprise revenues so important for these IPOs?
Enterprise revenues are viewed as more stable, contracted, and embedded into workflows, making them more attractive to investors and justifying higher valuation multiples compared to consumer usage metrics, which tend to be thinner and more uncertain.
What are the main risks associated with these high valuations?
The primary risks include margins not materializing as expected, ongoing losses, and the massive compute costs potentially eroding profitability before revenue streams become sustainable.
How do these IPOs compare to traditional software company valuations?
While traditional software companies command multiples around 10-15x revenue, these AI labs are being valued at 25-40x revenue, driven by expectations of rapid growth and disruption, but raising questions about long-term sustainability.
Will the upcoming IPO filings provide clarity on profitability?
Yes, the filings will include audited financial statements and detailed disclosures that will clarify margins, cash burn, and the potential for achieving profitability, which are critical for assessing the sustainability of their valuations.
Source: ThorstenMeyerAI.com
