📊 Full opportunity report: The runway.How enterprise-revenuelock becomes the load-bearing valuation argument. on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

OpenAI and Anthropic are both preparing to list on public markets in 2026, with valuations exceeding $900 billion, primarily justified by their enterprise-revenue lock rather than profitability or consumer scale.

OpenAI is targeting a valuation near $1 trillion, with a projected revenue of around $25 billion in 2026, and over 40% of that coming from enterprise clients. Despite generating substantial revenue, it is expected to lose approximately $14 billion in 2026, with profitability not expected before 2030. Anthropic, meanwhile, has crossed a $30 billion annualized revenue mark, with 80% from enterprise customers, and is forecasted to reach a gross margin of 77% by 2028, though it currently reports margins around 40%. Both companies are heavily investing in compute capacity, with commitments in the hundreds of billions of dollars. The core of their valuation strategy is to leverage enterprise lock — contracted, expanding revenue streams — as the foundation for high multiples, even as their profitability remains uncertain.

Why Enterprise Lock Is Central to AI Valuations

This focus on enterprise revenue as the main valuation driver reflects a shift in AI industry funding and market expectations. It underscores how AI labs are banking on the durability of enterprise contracts to justify their high valuations, despite ongoing losses and thin margins. The IPOs will serve as a test of whether enterprise lock can sustain the multiples that consumer-focused models cannot justify, potentially reshaping how AI companies are valued in public markets.

Background of AI Lab IPOs and Valuation Strategies

Over the past year, OpenAI and Anthropic have seen explosive growth in revenue, driven by enterprise adoption of their AI models. OpenAI’s consumer-facing ChatGPT has amassed hundreds of millions of users, but its valuation hinges on the expanding enterprise segment, which now accounts for a significant share of revenue. Anthropic, a newer entrant, has focused on enterprise contracts from the outset, building a reputation for high-margin, contracted AI services. Both companies are investing heavily in compute infrastructure, with commitments that suggest their valuation models depend on the continued expansion and retention of enterprise clients. This approach marks a departure from traditional SaaS models, emphasizing the strategic importance of enterprise lock as a valuation lever.

“The core of their valuation strategy is to leverage enterprise lock — contracted, expanding revenue streams — as the foundation for high multiples, even as profitability remains uncertain.”

— Thorsten Meyer

Uncertainties Around Margins and Long-Term Profitability

It remains unclear whether the margins from enterprise contracts will materialize as projected, or if the high compute costs and competitive pressures will erode profitability before the revenue streams become sustainable. The actual margins and client retention rates post-IPO are still unknown, and the upcoming audited financials will be critical in testing the validity of the enterprise lock thesis.

Next Steps: IPO Filings and Financial Disclosures

Both OpenAI and Anthropic are expected to file their S-1 documents in late 2026, which will include audited financials and detailed disclosures on margins, client retention, and profitability forecasts. These filings will serve as a key test for whether the enterprise-revenue-based valuation holds under scrutiny and whether the market accepts the premise that enterprise lock justifies their high multiples.

Key Questions

Why are enterprise revenues so important for AI IPO valuations?

Enterprise revenues are viewed as more durable, contracted, and embedded in workflows, making them more attractive for high valuation multiples despite losses. They are seen as the key to converting speculative AI models into sustainable revenue streams.

What risks do the high valuations pose for investors?

The main risks include margin erosion due to high compute costs, client retention challenges, and the possibility that the enterprise lock does not materialize as expected, which could lead to overvaluation and correction in the market.

How do OpenAI and Anthropic differ in their IPO strategies?

OpenAI is emphasizing a consumer-plus-enterprise model with a broad user base and new deployment avenues, while Anthropic is focusing on a pure enterprise story with clearer margins and contracted revenue streams. Both are betting that enterprise lock will justify their high valuations.

Will profitability be achieved before the IPO?

It is unlikely; both companies are expected to remain unprofitable in the near term, with profitability projected only in the late 2020s or early 2030s. The IPO will serve more as a valuation test based on revenue streams and margins.

What could cause the valuation thesis to fail?

If enterprise contracts do not expand as expected, margins fail to materialize, or client retention drops significantly, the high multiples justified by enterprise lock could be challenged, leading to a market correction or valuation adjustment.

Source: ThorstenMeyerAI.com