Thomas Laffont: The $4T AI IPO Wave, 2026's Unicorn Economy, and the 10X Paradox

The segment opens with banter about this being a "world podcast premiere" held back for the All-In hosts, then an introduction to the guest's firm. The introduction describes it as one of the most successful hedge funds of the last two decades, with $55,000,000,000 under management, and says the firm is looking to raise another billion dollars to invest in AI. The firm's stated reason for being in the business is to find great entrepreneurs and companies.

We're in an idea business. And when you have a truly revolutionary idea, it can get really big.

What follows is a slide presentation billed as an update on the unicorn economy, followed by a discussion with the hosts. The transcript has no speaker labels and does not show the slides, so the charts are known only from how the presenter describes them aloud.

The presentation starts with the claim that "the markets are back." On average, the unicorn economy is up 70% since September 2024. The presenter finds it more striking that public markets made roughly the same move. The unicorn economy's share of the NASDAQ rose sharply after 2015 but has plateaued over the past few years, which the presenter credits to the performance of public companies such as Palo Alto and others.

AI dominates fundraising, and its share of total fundraising has grown for several years in a row. The makeup of that funding has also changed. New unicorn creation peaked in the zero-interest-rate (ZIRP) era of 2021 and has since settled at a much lower level, which the presenter compares to pre-COVID levels. Putting the two trends together, funding per unicorn has risen 5x since 2021.

So, we have fewer unicorns that are each raising more.

The presenter singles out one slide as being about "the health of our ecosystem." It tracks unicorn cohorts over time. About 73 companies make up the pre-ZIRP cohort, and 20 quarters after becoming unicorns, 80% of them had either raised a new round or exited, which the presenter calls pretty healthy. The 2021 cohort looks different on two counts. Fewer than 20% had raised or exited by the same point, and the cohort is much larger, at 479 companies against 73.

The presenter then raises a 2024 cohort of AI companies and asks which earlier cohort it will end up resembling. No answer is given. It stays an open question for the rest of the talk.