501. Spotting the Next Big Thing, Why This Cycle Is Different, Acceptable vs Unacceptable Risk, and Why Duration Is a Feature Not a Bug (Jon Callaghan)
Jon Callaghan of True Ventures argues that the current venture cycle has fundamentally broken Silicon Valley's talent magnet—as startups stay private longer at massive valuations, early employees are losing out on the equity upside that historically attracted top talent to risky ventures. He makes a contrarian case for investing early in emerging technologies like AI and quantum computing, even when others call it crazy, and explains why True's 15-year fund structure is a feature, not a bug, in capturing the full value creation cycle.
Key takeaways
- •Extended private company lifecycles are destroying the employee equity model that made Silicon Valley a talent magnet in the first place.
- •Quantum computing investments are so early that 'we're not even making baseballs yet'—but that's exactly when contrarian investors should enter.
- •Hardware investing was once considered impossible for VCs to profit from, yet True's early contrarian bets proved the conventional wisdom wrong.
- •Fifteen-year fund structures beat ten-year funds because the biggest value creation in early-stage companies happens in years 8-10 of maturation.
- •Early-stage success is purely about multiple expansion—your ability to enter early and participate in the entire value creation process determines returns.
The essay
The Silicon Valley talent machine is breaking. For decades, employees flocked to startups because early equity made them rich. Now, with companies staying private for 15 years at multi-billion dollar valuations, that wealth engine has stalled. Jon Callaghan of True Ventures argues this fundamental shift changes everything about how venture capital works , and why the current cycle demands a completely different playbook.
The math is stark. "The valley became the valley because employees did really well on early equity, and that's what attracted a lot of talent into the young companies," Callaghan explains. "But if your young companies are valued at multi billions of dollars and you've got many more rounds and many more years to go, kinda tough to see that." When a company raises at a $5 billion valuation in Series B, employee option pools get diluted into near-meaninglessness. The 0.1% equity grant that might have generated life-changing wealth in 2005 now barely moves the needle.
This creates a talent crisis hiding in plain sight. Silicon Valley's competitive advantage wasn't just capital or networks , it was convincing the world's best engineers and operators to work for equity instead of cash. Remove that incentive, and the entire ecosystem wobbles. Worse, it concentrates talent at the handful of companies that can afford Google-level salaries, starving early-stage startups of the human capital they need to compete.
The venture response has been to embrace duration as a feature, not a bug. Traditional VC funds operated on 10-year cycles because companies either succeeded or failed within that timeframe. Now, Callaghan advocates for 15-year funds by design. "I'd love to say that ten years is enough, but the reality is most venture capital firms are structured for ten years, but they of course have extensions," he notes. "Ten isn't, but fifteen is." This isn't capitulation to market conditions , it's recognizing that the biggest wins require patient capital willing to compound through multiple market cycles.
The irony is that True Ventures built its reputation on contrarian bets that paid off precisely because they were early. The firm invested in Fitbit in 2008 "when we were called crazy, we were called stupid, we were told venture capitalists aren't gonna make any money in hardware." They backed WordPress when web infrastructure was unfashionable. Each time, the consensus was wrong because it confused current market conditions with permanent structural limits.
Today's contrarian opportunity sits in plain sight: the application layer of AI. While everyone chases foundation models and infrastructure plays, Callaghan sees massive value creation happening in the companies that actually apply AI to solve real problems. The reasoning is simple math , even if AI application companies capture a fraction of the total value created, "five times that number is an awful lot of value. Three times that number is an awful lot of value. It could be off by an order of magnitude and it's still huge."
This approach extends beyond AI into quantum computing, where True is making bets that seem absurdly early. "We're not even making baseballs and baseball mitts and bats yet," Callaghan admits about quantum. But that's exactly the point. By the time consensus forms around a technology's commercial viability, venture-scale returns have evaporated. The concentration of private capital into so few companies signals that markets are naive about where real value creation happens.
The deeper insight here is about venture capital's core function. "Early stage is all about multiple," Callaghan emphasizes. "The value of a company in those out years when it succeeds, it goes up, up, up, and fast. So your ability to be in early and stay and be part of the value creation process" determines whether you capture venture returns or merely participate in a mature asset class.
This demands a fundamental rethinking of portfolio construction. Instead of optimizing for quick exits and IRR, successful venture investors must optimize for participation in companies that compound value over decades. That means writing smaller initial checks, reserving more capital for follow-on investments, and developing the operational capabilities to add value across longer time horizons.
The implications extend far beyond venture capital. If the next generation of transformative companies requires 15 years to reach maturity, entire industries need to rethink their innovation cycles. Corporate venture arms built for 3-5 year partnerships will miss the biggest opportunities. Startup ecosystems optimized for quick flips will lose talent to more patient capital sources. Even public market investors need to adjust expectations about when private market darlings will actually go public.
Watch for three key indicators that this shift is accelerating: employee compensation packages tilted heavily toward cash over equity, later-stage startups struggling to hire top talent despite massive valuations, and early-stage companies raising larger rounds to compete on salary rather than equity upside. Each signals that the old Silicon Valley playbook is breaking down.
The winners in this environment won't be the investors with the fastest deployment or the highest IRR. They'll be the ones with the patience to compound capital over decades and the conviction to back technologies that won't mature for years. That's not just a different investment strategy , it's a different theory of how innovation actually works.
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