Mitchell Green sees software resilience and a wealth wave fueling collector cars and real estate, warns on AI regulation risk

Mitchell Green on software resilience, the wealth wave, and AI regulation risk

Mitchell Green, founder and managing partner of Lead Edge Capital, sees enterprise software holding up well — and points to public company earnings as the clearest signal. Workday, he notes, disclosed roughly $400–600 million in AI-driven revenue, and he views that as evidence that large enterprises prefer deepening existing vendor relationships over ripping and replacing with new tools.

The durability of that preference has limits, though. Green's sharper point is structural: companies carrying heavy debt loads simply cannot self-disrupt. He draws the contrast between Ford and Stellantis — if you believe AI and robotics will transform manufacturing, Ford can invest into that shift while Stellantis is consuming cash on interest payments. That logic, he argues, applies across every sector.

“Public company software earnings have been pretty strong. Workday said something like $4–6B of revenue was coming from AI now. If you're Stellantis and you got a ton of debt, you can't innovate. The guy I'd love to see do it is Joel Lamont — somebody's gonna do an American Bending Spoons in the States.”

Wealth wave and hard assets

Green argues that a wealth wave, concentrated in the US and unlike anything visible in Europe, is flowing into collector cars, real estate, and private aviation. A Ferrari SP recently sold at Pebble Beach for $17.8 million; the same car had never cleared €8 million at European auction. The gap is partly structural — US import restrictions block European arbitrage for 25 years — but mostly demand-driven.

The driver is equity appreciation compounding on itself. Americans who were already wealthy in 2021 and held equities are now exponentially richer. Green adds that AI secondaries and venture liquidity are accelerating the same dynamic, and points to Anthropic, OpenAI, and SpaceX as examples: if those three companies' valuations are taken at face value, the paper gains they represent exceed the entire dot-com bubble. NetJets and Flexjet, he says, are sold out to new customers entirely.

Real estate supply is frozen on the other side. Owners locked into 2020–21 mortgage rates have no incentive to sell, which makes willing buyers in supply-constrained markets like Downtown San Francisco or Jackson Hole effectively price-agnostic.

AI regulation

Green is willing to say that AI regulation is coming, and he treats the joint posture of Sam Altman, Dario Amodei, and Elon Musk — all calling for regulatory frameworks — as a meaningful signal rather than a lobbying play. His read is that they are genuinely uncertain about tail risks, not signaling a slowdown. The racing analogy he reaches for: when the fastest drivers in the field collectively ask for a safety rule change, you should probably listen.

His specific concern is cybersecurity. Voice fraud, he argues, is about to accelerate sharply — cloning someone's voice is already trivially easy, and the fraud surface that opens up is enormous. He also flags the OpenAI model that reportedly hacked Hugging Face as a preview of a category of risk that has no real regulatory framework yet. A multi-day internet outage via botnet, he notes, is a more tractable near-term risk than sci-fi extinction scenarios — and one that existing institutions are not prepared for.

The fear he lands on is government overreach, not inaction. The regulation is coming; the question is whether it lands well.

Stranded software assets

Green expects a wave of zombie software companies — venture-backed businesses from 2012 through 2022 that are not growing, not dying, and sitting in portfolios where nobody knows what to do with them. He thinks the Bending Spoons model, buying mature software assets at roughly 3x revenue and running them at high EBITDA margins, will attract more American imitators. At that entry price on a $100 million revenue business, a $70 million EBITDA run-rate pays back the $300 million acquisition cost in under five years — a free cash flow yield that makes the math compelling even on stagnant growth.

The bottleneck, in his view, is seller psychology. Investors and founders who have held assets for 10–15 years struggle to let go, even when moving on is clearly the right answer.