AI Startups With No Revenue Are Using This Tactic To Supersize Their Valuations

A groundbreaking funding tactic is allowing AI startups with zero revenue and, in some cases, no product to raise billions at valuations that rival established public companies. These startups are structuring investment rounds where different venture capital firms pay wildly different prices for shares, creating an inflated headline valuation that bears little relation to the company's actual performance.

AI startups are exploiting a controversial mechanism in venture capital known as tiered pricing rounds, where primary and secondary shares are sold at distinct prices. The highest price paid by a strategic investor becomes the touted valuation, even if most shares trade at far lower prices. This tactic has enabled founders to claim valuations exceeding $10 billion before generating a single dollar in revenue. The practice challenges traditional valuation metrics that rely on revenue multiples or asset bases, replacing them with supply-demand dynamics driven by hype and fear of missing out.

The rise of this strategy coincides with an unprecedented flood of capital into generative AI. In 2023 and 2024, AI startups raised over $50 billion, with a growing share of rounds incorporating tiered pricing. According to industry estimates, nearly 40% of AI funding rounds in 2025 included such differentiated pricing, up from just 10% in 2022. Startups like those building foundation models, enterprise AI agents, and specialized data tools have been the primary beneficiaries. The tactic is not illegal, but it skirts conventional valuation discipline by creating an artificial scarcity at the high end.

How does it work? A startup issues two classes of shares in the same round: a large block of common or preferred shares at a moderate price to general VCs, and a small block of high-priced shares to a name-brand investor or corporate strategic. The high price sets the valuation benchmark used in press releases and media coverage. Founders argue that the premium reflects the strategic value of the partner, but critics say it misleads later investors and the public. Pension funds and mutual funds that invest in later-stage rounds may be at risk if inflated valuations never materialize into revenue. High-profile figures in venture capital have warned that these 'mirages' could lead to a correction when startups fail to meet expectations.

Regulatory scrutiny is intensifying. The U.S. Securities and Exchange Commission has begun informal inquiries into how AI companies disclose their valuation calculations. In Europe, policymakers are debating whether to classify some tiered rounds as securities violations. Meanwhile, some large limited partners are demanding greater transparency in how valuations are derived. The tactic has also fueled FOMO among smaller investors, driving even more capital into the sector. If the AI frenzy cools, startups that relied on valuation inflation without building fundamentals could face down rounds or bankruptcy, dragging down the entire ecosystem.

Looking ahead, the future of AI startup valuation tactics hinges on two milestones: first, whether a major AI startup with a hyped valuation fails to deliver a viable product, and second, whether regulators impose stricter disclosure rules. If the first happens, the era of easy money may end abruptly. If regulators act, we could see a shift toward more conservative fundraising. For now, the tactic is a powerful tool for founders, but one that carries significant long-term risk. Investors would be wise to look beyond the headline number and examine the fine print of every funding round.