There is a strange split in AI stocks right now: analysts have raised their earnings expectations, yet valuation multiples have fallen sharply.
From the end of June to mid-October, expected earnings for the next twelve months rose by 25% for memory stocks and 25% for AI infrastructure companies. Over the same period, their forward price-to-earnings multiples fell by 34% and 22%, respectively.
At first glance, that looks contradictory. If companies are expected to earn more, why are investors willing to pay less for them?
Because a share price reflects two things: how much a company is expected to earn, and how much investors are willing to pay for those earnings. Those two can move in opposite directions.


