Wall Street Bubble Fears Grow as AI Boom Fuels Stock Market Records
As the AI boom propels stock market records, Wall Street strategists are increasingly drawing parallels to the late 1990s internet bubble. Every major equity strategist is running the same mental comparison, asking where we are in the cycle. The debate has intensified as combined spending on AI-related equipment in the past two quarters padded GDP more than consumer spending, typically the main conduit by which the economy grows, according to MarketWatch’s Jeffry Bartash. This surge in AI investment is reshaping economic growth patterns, but it also raises questions about sustainability.
On one side of the debate, veteran chip analyst-turned-fund manager Dan Niles argues that the closer parallel is 1997 — years three and four of an infrastructure buildout with real runway remaining. He points out that the AI adoption phase has barely begun; the current buildout is still centered on infrastructure. This suggests that while spending is high, the revenue and productivity gains from AI applications are yet to be fully realized. However, skeptics note that when you strip out AI infrastructure and energy companies, 2027 EPS estimates are essentially flat year-to-date, indicating that earnings growth outside these sectors is lackluster.
Investors are pouring unprecedented capital into a technology that remains early in its profit cycle. This enthusiasm is reminiscent of past bubbles, where optimism outpaced reality. Yet, as one expert told CBS News, “People get optimistic, and it’s conceivable that five years from now, we’ll be looking back and saying people were pessimistic about AI, and that it was more important than we expected.” The key question is whether the current investment will translate into sustained earnings growth or if the market is getting ahead of itself. With AI’s transformative potential still unfolding, the outcome remains uncertain, but the stakes for investors and the broader economy are high.
Shimanta Das 
