Is AI the Next Fiber-Optic Bubble? Comparing Modern Spending to 150 Years of Industrial History

As capital spending on artificial intelligence reaches unprecedented levels, economists are drawing parallels to historic boom-and-bust cycles that have shaped global markets over the last 150 years. A new analysis from Raymond James, spearheaded by Tavis McCourt, positions the current AI infrastructure surge alongside eleven other transformative industrial eras, such as the 19th-century railroad expansion and the 1990s fiber-optic bubble. While these periods are often defined by intense speculative investment followed by inevitable market corrections, history shows that such cycles ultimately provide the essential foundation for the modern digital economy. The current article explores whether AI will follow this predictable pattern of over-expansion followed by utility-driven recovery. By examining the velocity of current investments versus previous technological revolutions, the report provides a sober assessment of the risks of over-building, the importance of balance-sheet resilience, and the eventual path toward sustainable productivity growth in an era dominated by machine learning.