Bloomberg Senior Quant Researcher Dr. Steve Hou argues the current AI bubble is fundamentally different from the dot-com era due to its immediate, widespread adoption. Unlike the internet boom, which had years of unused capacity, AI tools are being integrated into daily life and business almost instantly.
Hou warns that traditional knowledge acquisition may lose its marketable value as AI advances, stating, "It's a distinct possibility that we are the last generation for whom learning still carries marketable value."
He predicts the AI-driven investment cycle could eclipse the crypto bubble in magnitude, triggering a massive capital deployment similar to the internet boom. "I'd be disappointed if the AI bubble wasn't at least as big as the crypto bubble," he said.
A key driver is the rise of agentic AI, which Houston says increases demand for compute resources by a hundredfold. While AI is a significant contributor to GDP growth, he emphasizes that resilient US consumption remains the primary economic driver, as the economy transitions away from fiscal stimulus.
Despite acknowledging the sector is in a bubble, Hou believes the size and duration of the AI bubble are underestimated and its impact could be more substantial and enduring than anticipated.