Individual investors buying shares in private AI companies through brokerage platforms are at a significant disadvantage. They are typically last in line behind institutional investors, resulting in higher entry prices and fees, making it a poor strategy for accessing the AI boom.
Regulations like the 'Accredited Investor' rule, originally designed to shield small investors from risky ventures, are now perceived as gatekeeping. Retail investors argue these rules don't protect them but instead protect the elite's exclusive access to high-growth, wealth-generating opportunities.
The historical information asymmetry between professional and retail investors is gone. Tools like ChatGPT and Perplexity allow any individual to access and synthesize financial data, reports, and analysis at a level previously reserved for institutions, effectively leveling the playing field for stock picking.
The recent surge in demo days and YC-style incubators from major VCs is a delayed reaction to the valuation boom of two years ago. These programs are a strategic play to get cheap, early-stage access to a wide portfolio of AI companies, de-risking entry into a hyped and uncertain market where good ideas are hard to differentiate.
AI companies raise subsequent rounds so quickly that little is de-risked between seed and Series B, yet valuations skyrocket. This dynamic forces large funds, which traditionally wait for traction, to compete at the earliest inception stage to secure a stake before prices become untenable for the risk involved.
Serving thousands of individual investors requires a huge investment in "nuts and bolts" infrastructure for administration, processing, and reporting. This operational complexity and cost, not client-facing apps, is the primary hurdle for GPs entering the retail space, moving from analog processes to complex digital systems.
The venture capital paradigm has inverted. Historically, private companies traded at an "illiquidity discount" to their public counterparts. Now, for elite companies, there is an "access premium" where investors pay more for private shares due to scarcity and hype. This makes staying private longer more attractive.
Public market investors feel compelled to buy into major AI IPOs, even if they doubt a company's fundamentals. The strategy is driven by market dynamics: the expectation of a 'pop' from massive retail investor demand forces funds to participate to avoid underperforming their benchmarks.
Before GPs can successfully tap into the retail market, they must recognize the immense operational costs. Managing, reporting for, and administering funds with thousands of small investors has a high break-even point. Without the ability to achieve significant scale, the economics of these products are unworkable.
Companies like SpaceX and OpenAI command massive private valuations partly because access to their shares is scarce. An IPO removes this barrier, making the stock universally available. This loss of scarcity value can lead to a valuation decline, a pattern seen in other assets like crypto when they became easily accessible via ETFs.
Contrary to the traditional focus on institutional investors, allocating a significant portion of an IPO to retail investors creates a loyal shareholder base. This "retail following" can result in higher valuation multiples and sustained brand advocacy, turning customers into long-term owners and a strategic asset.