Artificial intelligence sits at the center of today's market narrative, surrounded by extraordinary investment, ambitious projections, and no shortage of bold claims. Yet as capital pours into infrastructure, chips, and data centers, investors are increasingly asking a more difficult question: what does realistic, long-term value creation from AI actually look like?

In this episode, host Chris Nicola, CEO of Nicola Wealth, sits down with Eugene Wong, Associate Portfolio Manager | Public Assets, to unpack what's really happening inside the AI super cycle. Drawing on Eugene's research paper "The AI Gold Rush" and his background in technology, the conversation explores the scale of AI infrastructure spending, the gap between investment and earnings, and why productivity gains have so far fallen short of the most optimistic forecasts.

For investors looking to move beyond headlines and understand how AI fits into a disciplined, long-term investment framework, this episode offers a thoughtful, grounded perspective on where we may be in the cycle, and how patience, selectivity, and realism matter most as the story continues to unfold.