The Star Malaysia - StarBiz

Wall Street hunts for more ai gold post-nvidia rally

- By Lewis krauskopf

MONEY managers are scrambling to cash in on the stock market’s interest in artificial intelligen­ce (AI), as a stunning rally by Nvidia sparks a search for other companies that are capitalisi­ng on the technology.

Shares of Nvidia – whose chips are the gold standard in the AI industry – are up about 60% this year after tripling in 2023.

The run has pushed its market value to roughly US$2 trillion, making it the third-largest US company by market cap after Microsoft and Apple.

It has also spurred Wall Street to search for other Ai-focused companies in hopes of catching outsized moves.

Whether investors are looking at the broader chip industry or betting on firms elsewhere in the value chain, they agree on one thing: AI is here to stay.

“It’s not a fad,” said Francisco Bido, senior portfolio manager for F/m Investment­s’ Large Cap Focused Fund.

“There are too many cases where companies can make really good use of the technology to enhance both their top and bottom lines.”

Excitement over AI helped power the Nasdaq Composite Index to a record high on Thursday, while the S&P 500 also marked its latest record. The indexes are both up about 7% this year.

Further signs of the growing fixation on AI have been easy to spot. Mentions of AI on conference calls reached a new high in the fourth quarter, Goldman Sachs said recently. The bank’s analysts have estimated AI technology could add 1.5 percentage points to US productivi­ty growth if there is widespread adoption over the next decade.

A Morgan Stanley survey of chief informatio­n officers suggests 2024 is “a Year of Investment for AI,” the bank said in a note this week, with CIOS naming Ai/machine learning as their top priority for the first time.

Bido’s fund retains a large holding in Nvidia, but has branched out into other AI plays, including rival chipmaker Advanced Micro Devices and Mongodb, whose database products could be in high demand as AI is poised to change data infrastruc­ture needs. — Reuters

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