ATHENS — At Bitcoin World’s StrictlyVC event held this week as part of the Panathēnea festival, three prominent venture capitalists sat down to dissect the current state of technology investing. Niko Bonatsos of Verdict Capital, Andreas Stavropoulos of Threshold Ventures, and Ben Blume of Atomico offered candid perspectives on the AI boom, the upcoming wave of mega-IPOs, and the increasing groupthink they see across Silicon Valley.
SpaceX and the IPO wave: catalyst or capital drain?
SpaceX is reportedly eyeing a valuation of $1.75 trillion at its initial public offering, with OpenAI and Anthropic potentially following suit. The scale of these events raises questions about whether they will energize the broader market or absorb so much capital that later-stage companies struggle.
Stavropoulos drew a parallel to the Google IPO in 2004, which he described as an “enabling event” that reopened a market that had been pessimistic about tech. “With every subsequent wave of paradigm shifts, the scale changes by orders of magnitude,” he said. “What business today in the information age is not a technology business?”
Blume noted that each major liquidity event generates wealth that flows back into the next generation of companies. Bonatsos added a personal note: his co-founder at Verdict was the first investor in Cursor, the AI coding startup that Elon Musk recently revealed he has an option to acquire for $60 billion.
When asked whether a SpaceX IPO at that valuation could soak up public market capital to the detriment of other companies, Stavropoulos argued the effect would be net positive. “Something like a SpaceX, macro-wise, is going to end up bringing more people into the market than the short-term impact of soaking up some liquidity,” he said.
Is AI investment driven by FOMO or fundamentals?
Bonatsos offered a blunt assessment of the current environment. “In 17 years in Silicon Valley, I’ve never seen more groupthink,” he said. “Three-quarters of all venture capital raised over the last year went into five companies. Today, if you’re a 40-year-old tenured professor at Stanford not building something in AI, no one wants to meet you.”
Despite the criticism, he acknowledged that something real is changing. “Two founders with today’s AI tools can make more progress in two months with one round of funding than they could a year ago with 10 people, two rounds, and a full year of work.” This efficiency, he said, is changing how companies get started and how they capitalize themselves, potentially allowing startups to skip from pre-seed to Series B.
Stavropoulos predicted a correction that will push some capital back out of the market. “The promise and the optimism is still significantly ahead of the short- to medium-term ability to show results,” he said. “But on a long-term, macro scale, I don’t think we’re being over-optimistic.” He cautioned against mistaking that macro optimism for the idea that “every 19-year-old with an idea is the next big thing.”
Pricing deals in a fast-moving market
Blume explained that the best founders have no shortage of capital options, forcing funds to think carefully about what constitutes a meaningful ownership stake. “The incremental value of a dollar to us versus them is very different,” he said, referring to competition with much larger funds.
Bonatsos described his firm’s strategy of investing early in what he calls “freaks” — founders who make progress at an extraordinary pace. “Most of the founders we’ve backed so far are working on markets that don’t have a name yet — which is exactly why the valuations are low,” he said. “Larger asset managers can’t tell their teams to go find companies in a market that doesn’t exist yet.”
Age as a proxy for potential
The panel addressed the trend of very young founders receiving term sheets almost immediately. Stavropoulos noted that disruption tends to favor inexperience. “Experience can actually steer you the wrong way,” he said. “We’re going through a phase where things haven’t settled down yet, and that creates fertile ground for new ideas, and typically younger entrepreneurs.”
Bonatsos recalled a similar moment in 2009, when the iPhone was two years old and VCs outnumbered students on the Stanford campus. “If you’re 22 years old in San Francisco and building something in AI, there may be a seed term sheet in your inbox,” he said. “But if you’re 19, oh my God, this means you’re really good — you might already have a Series A offer.”
Blume cautioned against overgeneralizing from age alone. “What you’re actually looking for is an extremely high level of intensity, the ability to move ahead of the pace the market is moving, and the mental dexterity to adapt,” he said.
Where the real white space remains
Bonatsos sees a surprising opportunity in consumer internet investing, a field that most venture firms have abandoned. “Every VC firm used to have at least half its partners doing consumer internet investing. Today, maybe they have half a person,” he said. “Consumer is coming back, which is almost a crazy statement.”
Blume pointed to the intersection of AI and the physical world as the largest untapped opportunity. “The opportunity of AI interacting with the physical world is orders of magnitude larger than what we’ve seen so far in workflow automation and digital process,” he said. “The bet on robotics in all its forms — not just the humanoid doing a backflip — is still one of the biggest wide-open spaces over the next 10 years.”
Conclusion
The conversation revealed a venture capital industry caught between genuine technological transformation and what Bonatsos called “groupthink.” While the scale of capital flowing into AI is unprecedented, the panelists agreed that the long-term opportunity remains real — particularly in consumer applications, robotics, and markets that don’t yet have a name. The challenge for founders and investors alike will be distinguishing signal from noise in a market that rewards speed but punishes hype.
FAQs
Q1: Is the current AI investment boom sustainable?
The panelists expressed cautious optimism. While short-term results may not justify current valuations, they believe the long-term macroeconomic impact of AI is significant. A correction is expected, but the underlying transformation is real.
Q2: How are startups reporting revenue differently now?
Blume noted that new pricing models — including token-based billing and counting free tokens as revenue — have made ARR figures less reliable. Sophisticated investors cut through these metrics to assess underlying business health.
Q3: What should aspiring founders focus on?
Bonatsos recommended targeting markets that are too new to have a name, where valuations remain low and larger funds cannot easily compete. Blume emphasized robotics and AI interacting with the physical world as a massive open space.
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