The article argues that the 2026 AI-led equity melt-up is best understood as an information cascade, not simple euphoria. In a cascade, investors observe others buying and rationally discount their own private signals, so price gains, heavy volume and low volatility can look like conviction while actually reflecting suppressed disagreement. That makes the market appear stable precisely when it may be informationally fragile.

It distinguishes melt-ups from bubbles: a melt-up is rapid price appreciation that can become a bubble if fundamentals fail to catch up, but current AI enthusiasm still has some earnings support. The risk is that price begins aggregating imitation rather than information. July earnings shocks show how quickly a cascade can break once investors start processing fundamentals again. The key signal is whether new information still moves prices.