Morgan Stanley shifts AI investment focus from infrastructure to applications

According to a Wall Street CN report on 2026-11-07, Morgan Stanley has reassessed its AI investment logic, arguing that the recent pullback in US equities exposed how heavily the market had come to rely on a single narrative around AI infrastructure buildout. In the research note, the bank forecasts that growth in AI-related capital expenditure will decelerate from roughly 100% in 2026 to around 60% in 2027, and further to about 14% in 2028, leaving much less room for spending to beat expectations.

Reviewing the sell-off that triggered the shift, Morgan Stanley noted that the S&P 500 posted its largest single-day decline since “Tariff Day” on November 5, that the Nasdaq Composite slipped more than 10% from its October high into a technical correction, and that the Philadelphia Semiconductor Index fell over 12% in one session. The bank attributed the brunt of the move to adjustments in hedge fund positioning spilling across large-cap indexes rather than to any deterioration in economic fundamentals.

On that basis, Morgan Stanley is keeping its strategy intact: cutting exposure to high-beta suppliers driven by order flow, shifting the investment focus from hardware spending such as data center buildout toward the application layer, where companies can directly lift profitability, and, once the capitulation phase appears to have ended, rebuilding portfolio beta gradually through firms with earnings growth capacity.