Morgan Stanley recommends buying U.S. AI-infrastructure stocks following a recent market dip in the sector.
This guidance comes as investors question the long-term durability of artificial intelligence spending. The bank's stance suggests that the underlying value of AI hardware remains intact despite short-term volatility.
Shares of AI-infrastructure companies, including those specializing in hardware and memory chips, fell by an average of nearly seven% in July [1]. This decline sparked concerns across the sector regarding whether the massive investments in AI are sustainable.
However, Morgan Stanley analysts believe the price drop is a strategic opportunity. The firm highlighted 13 AI power-infrastructure stocks as potential targets for investors [2]. The bank said that the current market weakness is a technical correction rather than a shift in the industry's fundamentals.
"We believe a meaningful driver of weakness has been technical rather than fundamental," said Stephen, an analyst at Morgan Stanley [3].
Market activity showed signs of recovery early this month. Memory stocks rebounded on Monday after the previous week's slide [4]. This recovery aligns with the bank's view that the pull-back created a strong entry point for those looking to increase their exposure to the sector.
Despite the rebound, some market participants remain cautious about the pace of AI adoption. Morgan Stanley said that despite doubts about AI spending, there remains a major opportunity for investors [5].
“"We believe a meaningful driver of weakness has been technical rather than fundamental."”
This recommendation signals a divide between short-term market sentiment and long-term institutional outlooks. While retail and some institutional investors are reacting to the volatility of AI-related valuations, Morgan Stanley is betting that the physical infrastructure—the chips and power systems—is an essential utility for the next phase of computing, making temporary price drops a buying opportunity rather than a warning sign of a bubble bursting.
