Hi there, Welcome to the 132nd edition of Heartcore Insights, curated with 🖤 by the Heartcore Team. In this edition, instead of a thematic Prepared Minds essay, we are sharing our perspective on the ongoing AI-bubble conversation. If you missed the past newsletters, you can catch up here. Now, let’s dive in! Bubbles Build the FutureOver the past year, the idea of an “AI bubble” has dominated headlines. Valuations have grown faster than fundamentals, and each week brings new commentary questioning whether expectations can possibly be justified. NVIDIA’s latest earnings call showed the same tension: record results and rising demand, yet the stock fell. Fundamentals and sentiment are moving on different clocks. That same anxiety had been amplified earlier by the MIT article claiming that AI had yet to produce “measurable economic value”, a line that briefly made every early-stage investor look misguided for pouring billions into the space. The moment passed quickly, but it revealed something important: the debate around AI is happening at the extremes. And when conversations are set at the edges, the narrative becomes binary and short-term, ready to flip overnight the moment markets decide things have gone too far, too fast. The dot-com boom and bust is the masterclass example of this dynamic. The internet arrived, and with it a belief that everything would be remade instantly. When the crash came, it was easy to claim that expectations had been unrealistic. But history tells a different story: the underlying thesis for the internet was correct. It was the timeline that was wrong. The internet didn’t disappear after 2000; it simply grew into its valuation over time. Companies that failed in 1999 later became mainstream a decade or two after:
Ideas that “didn’t work” in the first cycle failed not because they were bad ideas, but because the world around them wasn’t ready. The dot-com era taught us that the hype, and ultimately the bubble, played a decisive role in building the infrastructure that became the backbone of modern digital life: fibre networks, broadband and the early generation of data centres. In that sense, it is worth considering whether it takes a bubble to fund what only a bubble would dare to build.
Today’s “AI excess” is tomorrow’s foundation.If that pattern holds, today’s AI spending on models, chips, compute clusters, data centres, agent frameworks and new workflows might look reckless in the short term but inevitable in hindsight. Most companies won’t survive, and that is not a defect. It is the mechanism through which foundational technologies are tested, sorted and strengthened. Which leads to the real question: Not: “Are we in an AI bubble?” But: “What will remain after it?” For founders, the key question is not whether a downturn will come, but whether their company deserves to exist after it does. Can the product stand without narrative tailwinds? Will customers care if the hype disappears?
In the end, the cycle will do what cycles do best: it will sort out the true winners and clear out the rest. That selective pressure isn’t a flaw of the system. It is the system. And everything else is the cost of progress. ~ Lærke Hansen, Principal, Heartcore Capital
🇪🇺 Notable European early-stage rounds
🇺🇸 Notable US early-stage rounds
🔭 Notable later stage rounds
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Tuesday, November 25, 2025
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