Is the AI boom the next dot-com bust?

While billions pour into AI startups and tech giants race to dominate the space, troubling patterns are emerging that echo the late 1990s—circular funding loops, sky-high valuations with little revenue, and a dangerous concentration of capital in just a few players.

In this episode, we dig into the warning signs that separate a genuine technological revolution from a market bubble ready to pop. They examine OpenAI's alarming cash burn rate—massive sales but vanishing profitability—and why inflated AI valuations should concern anyone watching the market. Drawing direct parallels to the dot-com crash, they explore how low interest rates may be fueling reckless investment, why extreme market concentration in AI stocks poses systemic economic risks, and how the interconnectedness of global markets could amplify any downturn.

But here's where it gets interesting: what if the promise of AGI (Artificial General Intelligence) actually changes everything? The hosts dissect whether this technological leap could justify today's valuations or whether we're seeing the same old hype cycle dressed up in new algorithms.

Learn the specific red flags savvy investors watch for—from insider selling patterns to predatory financing terms—and why retail investor euphoria is often the canary in the coal mine. Whether you're investing in AI startups, building one, or just trying to separate signal from noise, this conversation reveals what history teaches us about boom-and-bust cycles.