Morgan Stanley Strategist Warns of Resistance to New Highs in US Stocks
Morgan Stanley strategists believe that investors are shifting from this year's strongest tech stocks to other sectors, and that US stocks may face resistance in reaching new historical highs. This rotation could weaken the leadership pattern dominated by large-cap AI and tech stocks.
Most of the current economic and earnings positives have been priced in, and the index is stagnating, requiring unexpected positive news to continue rising. The market hopes to see substantial AI capital expenditures translate into sustained returns, rather than just increased spending.
The firm advises investors to focus on the realizability and quality of earnings, to take some profits in small-cap stocks, and to increase allocations to beneficiaries of AI applications. The price increases of large-cap tech stocks have lagged behind performance, with valuations declining while industrial cyclical sectors rise due to interest rate cut expectations.
Source: Public Information
ABAB AI Insight
Morgan Stanley has previously issued warnings at key market rotation points, emphasizing defensive strategies during the 2022 bear market. This analysis regarding the uncertainty of AI capital expenditure returns continues its cautious stance on tech valuation bubbles.
In terms of capital flow, funds are rotating from large-cap tech stocks to small-cap stocks, industrials, and cyclical sectors, with institutions realizing some tech gains to diversify their holdings, motivated by the desire to avoid concentrated risks in a single sector and to capture diversified opportunities in a rate-cutting cycle.
This rotation is similar to the transition from tech dominance to value stocks after 2020, or the diffusion of FAANG to a broader market in the late 2010s. Currently, the US stock market is in the early stages of rebalancing its structure after the peak of AI investment enthusiasm.
Essentially, this represents a transition of capital concentration towards pricing power: if substantial AI spending cannot quickly translate into profits, pricing power will shift from concept-driven to actual return verification, with funds concentrating again on sectors with higher earnings quality and more reasonable valuations, marking a shift from dominance by a few giants to a more balanced allocation.
ABAB News · Cognitive Law
After digesting positives, the market only recognizes unexpected realizations
Capital expenditure does not equal returns; the verification period determines survival
Rotation is not only risk diversification but also a filter for earnings quality.