Morgan Stanley’s consumer survey shows mixed | Stock News

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Morgan Stanley’s client survey exhibits blended | Inventory Information


Investing.com — Morgan Stanley stated Thursday that its latest client survey confirmed various client attitudes towards AI-enabled merchandise, signaling that the much-anticipated AI {hardware} supercycle should be in its early days. 

The survey, which included 400 respondents—200 laptop computer patrons from Greatest Purchase (NYSE:) and 200 latest Apple (NASDAQ:) prospects—revealed lukewarm enthusiasm for AI options in client electronics.

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“Some consumers intentionally shop for AI-enabled products, with ~15% of all respondents buying an Apple product or a laptop specifically because of AI functionality,” stated the bank.

Nevertheless, the survey additionally revealed that 60% of shoppers who purchased AI-enabled gadgets did so with out realizing it, and a related share of total respondents have been both not sure or unaware if their latest purchases included AI functionalities.

Trying ahead, enthusiasm for AI-enabled gadgets is claimed to look muted. 

Morgan Stanley (NYSE:) acknowledged that over 60% of these surveyed indicated they’re unwilling to pay more for merchandise with AI capabilities, whereas 25% of respondents expressed no curiosity in AI-enabled gadgets in any respect. 

Moreover, solely a modest 15% of shoppers confirmed robust curiosity in buying an AI system within the subsequent 12 months.

The blended sentiment displays the early levels of the AI adoption curve, Morgan Stanley famous, with the info suggesting that the AI {hardware} supercycle could progress more slowly than anticipated.

 “This wide range of preferences reflects the early stages of the AI hardware supercycle, in our view, and suggests that the adoption curve for AI-enabled products may be shallower than expected in the near term. We believe the survey results support our Equal-weight rating on BB,” added the bank, stating that it’s “too early to tell whether an AI supercycle could meaningfully improve comps over the medium-term while any near-term impact should be limited.”

 



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