Is there an AI investment bubble, and how does this cycle compare to the dot-com era?

The sources indicate a theorized AI investment bubble amid rapid growth in AI funding and stock valuations, driven by speculation and circular investments among tech firms, with experts warning of over-investment risks and potential market corrections similar to historical bubbles [1][4]. However, there's no consensus: some argue it's not a bubble but an "AI CapEx supercycle" with real economic impact, differing structurally from past hype-driven crashes [2][6]. Public enthusiasm for AI is lower than during the dot-com era, raising concerns that underwhelming adoption could burst the bubble, though underlying investments in infrastructure continue despite stock volatility [10][12]. Comparisons to the dot-com bubble highlight similarities in speculative financing and tech overvaluation in the 1990s-2000s, but current AI differs with tangible momentum expected through 2026 and multi-year capital waves focused on adoption rather than pure hype [1][7][11]. A bubble pop could lead to widespread economic distress like unemployment and business failures, echoing dot-com fallout, yet some see AI's long-term trajectory as more resilient [3][5].