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OpenAI and Anthropic are both preparing to launch major initial public offerings (IPOs) in 2026, with valuations approaching $1 trillion, emphasizing enterprise revenue as the core justification amid profitability concerns.

OpenAI is projected to reach a valuation near $1 trillion, with an annualized revenue of approximately $25 billion, of which over 40% is from enterprise clients. Despite this, the company is expected to lose around $14 billion in 2026, with no profitability forecast before 2030. Anthropic, meanwhile, has crossed a $30 billion annualized revenue mark, with 80% derived from enterprise customers, and is targeting a valuation above $900 billion, with a forecast gross margin of up to 77% by 2028.

Both companies are attracting interest from major investment banks such as Goldman Sachs, JPMorgan, and Morgan Stanley, and are on track for IPO filings as early as late 2026. The core argument for their high valuations is the lock-in of enterprise revenue, which is seen as more durable and scalable than consumer revenue, despite concerns about margins and profitability. The valuations are based on revenue multiples of 25 to 40 times, significantly higher than typical public software companies, raising questions about sustainability and the real value of their growth prospects.

The Role of Enterprise Revenue in Valuation Justification

The focus on enterprise revenue as the main justification for these record-high valuations highlights a shift in how AI companies are valued. It underscores the importance of contract-based, embedded, and expanding enterprise relationships as a means to achieve sustainable, predictable income streams. This approach aims to move beyond the thin margins and uncertain retention associated with consumer usage models, seeking to establish a more resilient foundation for future profitability and investor confidence.

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Background of AI IPOs and Enterprise Lock Strategy

Over the past few years, AI labs like OpenAI and Anthropic have transitioned from primarily consumer-facing models to heavily emphasizing enterprise solutions. OpenAI’s GPT models are increasingly integrated into business workflows, while Anthropic has built a strong base of enterprise clients contributing the majority of its revenue. Both companies are on the cusp of their IPOs, with valuations driven by the perceived potential of their enterprise lock-in to deliver durable revenue streams that can justify their lofty multiples.

“The enterprise-revenue lock is being used as the primary argument to justify valuations that are multiples of revenue well beyond traditional software companies, despite ongoing profitability challenges.”

— Thorsten Meyer

Uncertainties Surrounding Profitability and Margin Realization

It remains unclear whether the margins necessary for these enterprise revenues to translate into sustained profitability will materialize as projected. Both companies are expected to burn significant cash before reaching profitability, and the actual margins achieved could fall short of internal forecasts, potentially undermining the valuation thesis.

Upcoming IPO Filings and Market Testing of the Enterprise Thesis

The companies are expected to file their S-1 documents by late 2026, which will include detailed financial disclosures and projections. The first audited quarterly results following the IPO will serve as a critical test for the durability of their enterprise revenue streams and the validity of the valuation multiples. Market reactions and analyst assessments will determine whether the enterprise lock can sustain these high valuations or if adjustments will be necessary.

Key Questions

Why are these AI companies valued so highly despite significant losses?

Their high valuations are primarily driven by the expectation that their enterprise-revenue lock will generate durable, expanding, contracted income streams, which justify high revenue multiples despite current losses.

What is meant by ‘enterprise-revenue lock’?

It refers to the company’s ability to secure long-term, contract-based revenue from enterprise clients, which is seen as more predictable and scalable than consumer revenue.

How will the IPO filings test the valuation thesis?

The filings will reveal detailed financials and projections, and the subsequent quarterly results will show whether the companies can deliver on their promises of margin expansion and revenue durability, thus validating or challenging the high multiples.

What risks do these valuations face?

The main risks include failure to achieve projected margins, unforeseen operational costs, or a market reassessment of AI’s growth potential, which could lead to a correction in valuation multiples.

Why is the focus on enterprise revenue more convincing than consumer revenue?

Enterprise revenue is generally contracted, embedded in workflows, and expanding, which provides a more predictable and sustainable income stream compared to the thin margins and uncertain retention typical of consumer usage models.

Source: ThorstenMeyerAI.com