Big Shift in AI Stock Trade Drives Hunt for New Stars in Asia

Big Shift in AI Stock Trade Drives Hunt for New Stars in Asia

Big Shift in AI Stock Trade Drives Hunt for New Stars in Asia

S&P Global, Bloomberg
S&P Global, Bloomberg

The hunt is on for new Asian equity winners from the artificial intelligence trade, as a technological shift and bubble fears reshape the investment universe.

As the massive stock rally unleashed by the launch of OpenAI’s ChatGPT enters its fourth year, leading regional beneficiaries including Taiwan Semiconductor Manufacturing Co. and SK Hynix Inc. are flagging. Investor attention is turning instead to smaller, lesser-known names such as MediaTek Inc. and Zhongji Innolight Co.

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High-profile firms that are still essential to the nuts-and-bolts requirements of AI are likely to see their stocks bounce back after some cooling off. But they could start sharing the spotlight as focus progresses from training of large language models to everyday application of the technology — as well as how to bring down the costs.

“The market is pricing in a new narrative, a new paradigm, which is: what if the dominant LLM isn’t just OpenAI? And that’s why everything is happening,” said Andy Wong, head of multi-asset investment at Pictet Asset Management in Hong Kong. “You need to digest what’s going on, recalibrate, and then apply a new risk premium.”

The chain reaction was set off last month with Alphabet Inc.’s launch of an upgraded Gemini model and its reported deals with other firms for its in-house AI chips. Amazon.com Inc.’s latest accelerator added to the shift away from AI stock trades that had concentrated on OpenAI and dominant semiconductor firm Nvidia Corp.

Japan’s SoftBank Group Corp., seen as a proxy for OpenAI given the close ties between the two companies, saw its stock slump 38% in November to cap its worst month in 25 years. Shares of Nvidia’s key foundry TSMC and memory provider SK Hynix fell 4% each last month, letting some steam out of their big rallies.

While ChatGPT is being threatened by a growing host of competitors, Nvidia’s AI training processors are losing market attention as application-specific integrated circuits come more to the fore. With that, investors are becoming concerned about negative implications for product pricing.

If LLMs become commoditized, “the ones with cheaper costs will become the winner,” said Han Sangkyoon, chief investment officer at Quad Investment Management in Seoul. He expects the next six months to be crucial in “how the bubble created by Nvidia and OpenAI could burst.”

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