In the hyper-competitive arena of venture capital deal-making, artificial intelligence startups appear to be rewriting the rules of fundraising. An interesting new trend has emerged in Silicon Valley: some high-flying AI startups are selling multiple series of preferred stock at completely different prices within the same funding round.
Driven by an intense rush to back top-tier AI companies, more lead VCs are leveraging multi-tiered pricing structures to manufacture massive headline valuations and win deals. But behind the scenes, this financial engineering adds additional complexity and risk. For private market investors, understanding this new phenomenon is key to making informed investment decisions in a market that is heating up.
The Mechanics of a Dual-Price Round
Traditionally, a primary funding round assigns a single valuation to a startup, ensuring all participating investors (typically venture capital firms) purchase shares at the same price. In this new paradigm, however, a single round can be effectively split into two distinct tiers to consolidate what would have normally been two separate funding cycles:
- The Lead VC Baseline: The lead investor commits a significant portion of capital at a lower, more grounded valuation. In exchange, their brand provides a powerful market signal that validates the company.
- The FOMO Premium: Because these rounds are often heavily oversubscribed, late-coming or "follow on" VCs can participate at a premium, often valuing the company at a much higher price just to secure a spot on a high-demand cap table.
This trend is playing out in real-time. In fact, Carta estimates that more than 20 of these deals have happened in the last 6 to 12 months. Startups like Aaru (an AI driven customer research platform backed by Redpoint Ventures) and Serval (an AI help-desk startup backed by Sequoia) have reportedly utilized these multi-tiered structures. In these structures, a lead VC might anchor a deal at a lower valuation, while a smaller, subsequent portion of the same round is priced above the $1 billion mark to allow the startup to claim "Unicorn" status.
This price gap can also be a byproduct of how previous investments convert. Early capital raised through SAFEs and convertible notes may automatically convert into a new funding round at a pre-negotiated discount, establishing a tier of lower-priced shares on the capitalization table.
The benefits for lead investors and startups are clear. Lead investors can note a nearly instant paper gain for their funds, improving fund performance. Meanwhile, startups gain the luster of being seen as a market leader, which can help attract talent and strategic partners.
The primary risk, however, is real. The public headline valuation is artificially inflated, while the blended valuation, the true weighted average price paid across the entire round, is significantly lower. This can hurt both employee shareholders and new investors. Employee shareholders may find that they are now issued stock options at inflated prices, reducing potential future upside. Meanwhile, secondary investors need to discern the true value of the company, when evaluating investment opportunities. As Wesley Chan, co-founder of FPV Ventures, colorfully noted: "You can't sell the same product at two different prices. Only airlines can get away with this."
Why Cap Tables and Implied Valuations Matter More Than Ever
For private market investors, this structural shift highlights why you shouldn’t take a press release at face value. It underscores the vital importance of evaluating a company’s capitalization table and doing your own research.
A cap table is no longer a simple ledger of ownership; it has become a marker of asymmetrical investor outcomes. When a startup structures a dual-price round, it creates multiple tiers of investors with drastically different cost bases. The lead VC enjoys a much lower breakeven point and far greater downside protection than the follow-on investors who paid the premium price.
To evaluate the actual value of a startup, investors must look past the $1 billion headline. Analyze the capitalization table to see: Did a single round of funding include a variety of share classes priced individually? If so, how much capital was raised in each subclass of preferred stock? If a headline valuation is being used primarily as a strategic tool to scare off competitors or attract talent, the company's financial fundamentals may not actually support the weight of that crown.
The Risks of Valuation Frothiness
Striving for aggressive headline valuations to manufacture a perception of market dominance may be a symptom of an overheated market, especially for private AI companies. This trend introduces a suite of compounding risks:
- The Down-Round Hangover: Every dollar of artificial valuation baked into a round today is a hurdle that must be cleared tomorrow. If an AI startup cannot justify its headline valuation in its next funding cycle, it faces a punitive down round. Down rounds can hurt company morale and even trigger anti-dilution provisions. The painful market reset of 2022 should act as a clear cautionary tale for a new wave of companies that may not have even existed four years ago.
- Value Uncertainty: The greatest risk of the dual-pricing phenomenon falls squarely on follow-on and secondary investors. Investors who invest at the higher valuation tier may be paying a steep premium just to get a seat at the table.
Uninformed investors might see a $1 billion headline and assume that represents the baseline value. In reality, they may be buying in at the absolute ceiling of that round, while a small group of institutions hold a much safer, lower cost basis. If the AI hype cycle cools or the market corrects, those who paid the premium price have the thinnest margin for error and the most to lose.
True Value Requires Transparency
This fundraising trend reinforces a core philosophy we hold at EquityZen: true value can only be determined by an active, transparent market.
In an era where primary funding rounds are increasingly complex, opaque, and aimed at driving press buzz, the secondary market can serve as a vital reality check. On active secondary platforms, shares trade based on actual market signals like supply and demand, supporting organic price discovery. Secondary transactions do not solve every valuation challenge. They are not perfectly efficient, and they should not be treated as a flawless proxy for intrinsic value. However, they can provide something private markets often lack: evidence of where buyers and sellers are actually willing to transact under current market conditions.
For private market investors navigating the AI boom, staying disciplined means understanding what you’re paying and the upside required to generate a return. Our advice remains clear:
- Look Under the Hood: Never rely solely on press releases. Get clarity on the structure of the latest financing round, by analyzing the capitalization table.
- Focus on Fundamentals: AI technology is transformative, but sustainable revenue, unit economics, and long-term retention cannot be ignored.
- Leverage Secondary Markets: Use secondary market data to see where shares are actually trading.
The AI race is producing incredible innovations, but understanding the underlying elements driving a company’s valuation remains an investor's best defense against market froth.
Disclosures
- Past performance does not guarantee future results. Not all pre-IPO companies will go public or be acquired, and not all IPOs or acquisitions are or will become successful investments.
- There are inherent risks in pre-IPO investments, including the risk of loss of the entire investment, illiquidity, and fluctuations in value and returns. This information is intended for informational purposes only and does not constitute a recommendation or personal financial advice. Use of this information is at the user's discretion and risk. All company names and logos are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.



