Why AI startups are selling the same equity at two different prices

Editor's take

AI startup founders are effectively selling equity in their companies at different valuations within the same funding round, creating a dual-priced cap table. This tactic allows nascent companies to project higher valuations, often to achieve "unicorn" status, even if the average price per share across all investors is significantly lower.

This practice matters because it introduces opacity into a critical stage of startup financing, potentially misleading future investors and impacting employee stock option pools. By bifurcating valuations, founders can secure headline-grabbing metrics while diluting early-stage, risk-tolerant investors more heavily than later-stage participants. This trend could strain the traditional venture capital model, which relies on consistent valuation progression.

Future developments to monitor include regulatory scrutiny from bodies like the SEC regarding disclosure requirements and the potential for established VCs to adapt their due diligence processes to identify and penalize such practices. The long-term viability of this dual-valuation approach will also hinge on whether startups can sustain growth trajectories that justify the initial inflated figures.