Latest / The Startup Exit Podcast with Fexingo: IPOs, Acquisitions, and Founder Liquidity Events / How AI Companies Are Using Direct Listings to IPO
Transcript
- Lucas: So we just saw SpaceX price its IPO at one hundred thirty-five dollars per share. That number alone redefined what a mega-cap tech exit looks like. But the really interesting part isn't the valuation — it's the mechanism. SpaceX went public via a direct listing, not a traditional IPO. And we're seeing more AI companies follow suit. Luna: Right. And it's not just SpaceX. Just last week, a headline crossed my screen — 'As AI companies race to go public, who else is along for the ride?' That piece basically said direct listings are becoming the default for high-profile tech exits. Lucas: Exactly. So let's unpack why. With a traditional IPO, you have underwriters — banks like Goldman Sachs or Morgan Stanley — who set an initial price, buy all the shares, and then sell them to institutional investors on day one. That creates a pop, often leaving money on the table for the company and early investors. Luna: And that pop can be huge. Remember when Snowflake went public in 2020? It opened at two hundred forty-five dollars, more than double the IPO price of one twenty. That's a lot of value that could have gone to the company. Lucas: Exactly. In a direct listing, there are no underwriters. Existing shareholders — founders, employees, early investors — sell their shares directly to the public on day one. The price is set by supply and demand, not by bankers. So there's no artificial discount and no first-day pop. The company doesn't raise new capital, but it provides immediate liquidity for insiders. Luna: And that's a huge win for founders who've been locked up for years. But doesn't that also mean more volatility? Without underwriters stabilizing the stock, the opening price could swing wildly. Lucas: It can, but the data so far is encouraging. Look at Spotify's direct listing in 2018 — opened at one hundred sixty-five point ninety dollars, closed at one forty-nine, so it actually dipped. But over time, the stock found its level. And for AI companies with strong narratives, the direct listing can actually attract more long-term investors who value price discovery. Luna: So who's actually doing this? Besides SpaceX, I mean. Lucas: Well, we've seen companies like Slack and Asana go the direct listing route. More recently, a bunch of AI startups — especially in the generative AI space — are exploring it. The logic is: if you don't need to raise capital because you're already profitable or well-funded, why pay millions in underwriting fees and give up control of the pricing? Luna: And those fees are substantial. Underwriters typically take three to seven percent of the gross proceeds. On a ten billion dollar IPO, that's three hundred to seven hundred million dollars — gone. Lucas: Right. So by avoiding that, founders keep more of the upside. But there's a trade-off. Direct listings don't come with the same lockup agreements. In a traditional IPO, insiders are usually locked up for one hundred eighty days. In a direct listing, there's often no lockup at all — or a very short one. That means early investors can sell immediately, which can flood the market with supply. Luna: And that's where the lockup expiration becomes the real clock. We've talked about that on this show before — how the one-hundred-eighty-day mark is often when the stock dips because insiders finally get to sell. Lucas: Exactly. With a direct listing, that clock doesn't exist. The selling pressure is front-loaded. So the first few days of trading can be chaotic. But for founders who want to exit quickly, it's actually a feature, not a bug. Luna: So given all this, why haven't more companies done it? I mean, the benefits seem clear. Lucas: The biggest barrier is that you need to have a strong, recognizable brand and a compelling story. Without underwriters, you don't have a team of analysts marketing your stock to institutions. You have to do that yourself. So for smaller or less well-known companies, a traditional IPO still makes sense. Luna: But for AI companies, that's less of an issue. The narrative is already there. Lucas: Exactly. And that's why we're seeing this trend. If you look at the market data this morning — June fifteenth, 2026 — the big tech names like Apple, Microsoft, and Alphabet are all down over the past week. But ai adjacent names like Palantir are down six point two percent, and Coinbase is down one point four percent. There's some volatility, but the appetite for AI exits is still huge. Luna: And SpaceX's IPO — even though it was a direct listing — has been a bellwether. It's shown that you can go public without the traditional Wall Street machine and still succeed. Lucas: So for founders listening who are thinking about an exit, the question is: do you want to control the narrative and the pricing, or do you want the safety net of underwriters? Direct listings are becoming a real alternative, especially for AI companies with strong demand. Luna: And if this conversation has been useful for what you're building or running, it's worth mentioning that the reason we can keep these episodes ad-free and focused is listener support. Lucas: Yeah, that's right. If you found today's deep dive valuable, you can keep it going by buying us a coffee or two at buy me a coffee dot com slash fexingo. No pressure, just a way to keep the show independent. Luna: And we really appreciate it. Now, back to the mechanics — one thing we haven't touched on is how Rule 144 comes into play with direct listings. Lucas: Great point. Rule 144 is the SEC regulation that allows affiliates — founders, executives, large shareholders — to sell their restricted stock without registering it, as long as they meet certain conditions. In a traditional IPO, those sales are usually prohibited during the lockup period. But in a direct listing, since there's often no lockup, Rule 144 can be used immediately. Luna: So that gives founders even more flexibility. They can sell in the open market right away, rather than waiting one hundred eighty days. Lucas: Exactly. But they have to be careful. Rule 144 limits the volume they can sell — generally, no more than one percent of the outstanding shares in any three-month period. So it's not a free-for-all, but it's a lot more liquidity than they'd have under a traditional lockup. Luna: And that matters especially for AI companies, where founders often hold a large percentage of the company. If they want to diversify, Rule 144 gives them a path. Lucas: Right. So the playbook for AI exits is evolving. Direct listings, combined with Rule 144 and no lockups, are giving founders more control over their liquidity events. It's not just about valuation anymore — it's about timing, control, and who gets to capture the value. Luna: And as more companies choose this path, we might see the traditional IPO become less common for high-profile tech exits. Lucas: That's the big question. Will the market adapt? The SEC has already been supportive of direct listings, and the NYSE and Nasdaq have both updated their rules to accommodate them. So the infrastructure is there. It's really up to founders to decide if they want to take the reins. Luna: It's a fascinating shift. And it's one we'll be watching closely as more AI companies head toward their own exits. Lucas: Absolutely. For now, the key takeaway is: if you're a founder building in AI, the direct listing is no longer a fringe option. It's a legitimate, proven path to liquidity. And with SpaceX leading the way, it's only going to become more popular. Luna: Thanks for listening, and we'll be back next time with another angle on startup exits.