Unlike the US market which favors billion-dollar revenues, the Hong Kong stock exchange allows smaller AI companies to IPO with just $60-80M in revenue. This offers public investors high-risk, high-reward access to fast-growing tech companies, similar to late-stage venture capital.
Related Insights
Contrary to the prevailing wisdom of staying private as long as possible, VC Keith Rabois counsels his portfolio companies to pursue an IPO once they hit ~$50 million in predictable revenue. He believes the benefits of being public outweigh the costs much earlier than most founders think.
Harvey, an AI startup for the legal industry, exemplifies the hyper-growth funding environment for top-tier AI companies. The company raised capital three times in less than a year, with its valuation climbing from $3 billion (Sequoia) to $5 billion (Kleiner Perkins) and finally to $8 billion (a16z).
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.
For a proven, hyper-growth AI company, traditional business risks (market, operational, tech) are minimal. The sole risk for a late-stage investor is overpaying for several years of future growth that may decelerate faster than anticipated.
Aggregate venture capital investment figures are misleading. The market is becoming bimodal: a handful of elite AI companies absorb a disproportionate share of capital, while the vast majority of other startups, including 900+ unicorns, face a tougher fundraising and exit environment.
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.
The current IPO market is bifurcated. Investors are unenthusiastic about solid, VC-backed companies in the $5-$15B valuation range, leading to poor post-IPO performance. However, there is immense pent-up demand for a handful of mega-private companies like SpaceX and OpenAI.
Contrary to common belief, the earliest AI startups often command higher relative valuations than established growth-stage AI companies, whose revenue multiples are becoming more rational and comparable to public market comps.
The current market is unique in that a handful of private AI companies like OpenAI have an outsized, direct impact on the valuations of many public companies. This makes it essential for public market investors to deeply understand private market developments to make informed decisions.
The enormous private capital available to AI leaders, shown by Anthropic's $10B and xAI's $20B rounds, reduces the urgency to go public. This nearly unlimited appetite from private markets allows these companies to continue their aggressive growth and infrastructure build-outs without the regulatory scrutiny and quarterly pressures of being a public company.
