BofA Securities: AI stock opportunities in 'battleground' sectors, not 'titans'

BofA Securities advises global investors to shift focus from Asia's dominant AI hardware 'titans' to mid-cap 'battleground' sectors offering stronger growth amid competition. The report maps over 330 Asian AI stocks across 22 subsectors worth nearly US$6 trillion. It highlights opportunities in under-covered areas with rising stars and pair-trading potential.

BofA Securities' report, published on December 4, urges investors to move away from Asia's dominant AI hardware 'titans' toward 'battleground' sectors with greater growth potential amid rising competition. Led by Winnie Wu, head of Asia-Pacific equity strategy and co-head of China equity research at BofA Global Research, the analysis covers more than 330 Asian stocks across 22 subsectors in the AI technology layer, representing a market capitalization of nearly US$6 trillion.

Semiconductor fabrication and memory chips form the two largest sectors by market cap and are considered 'core holdings.' However, the analysts advise: 'But we advise investors to seek alpha in the “battleground sectors” with more mid-cap stocks.' These battleground sectors are defined as those featuring numerous mid- and small-cap stocks, abundant with rising stars, under-covered companies, and pair-trading opportunities.

The top five battleground sectors with relatively high profitability are semiconductor equipment, printed circuit board/copper clad laminate (PCB/CCL), optical module/co-packed optics (CPO), microprocessor unit/system on chip, and outsourced semiconductor assembly and testing. Semiconductor equipment alone encompasses over 50 Asian stocks with a combined market cap close to US$500 billion, benefiting from aggressive capital expenditures by advanced chip fabs, per the report.

As AI competition intensifies, these mid-cap areas present compelling investment prospects, particularly among Chinese and Taiwanese stocks.

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Dramatic trading floor scene showing Nvidia's AI profit surge amid market bubble fears and economic uncertainty.
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AI Market Jitters Grow as Nvidia’s Profits Surge and Tech Valuations Soar

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Nvidia has reported a massive jump in quarterly profit amid a broader boom in artificial-intelligence investment, intensifying debate over whether current valuations signal transformative growth or an emerging bubble. While Nvidia’s results have underscored its central role in powering AI systems, some analysts warn that today’s exuberance may not be sustainable, reflecting wider uncertainty about the economy and political landscape.

Despite a hot domestic market, South Korean investors have increased purchases on Hong Kong and mainland exchanges this year. Data shows they bought US$507 million in Hong Kong-listed shares and US$154 million in mainland-listed shares, focusing heavily on AI and semiconductor names.

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Investor jitters are growing in the US as AI reshapes expectations, but China's markets have so far reacted with caution rather than panic. Artificial intelligence is already reshaping industries and markets, even though artificial general intelligence (AGI) has yet to be achieved. China's tech stocks have largely held steady amid recent domestic AI advancements.

Japan's Nikkei share average rose 0.76% to 57,256.55 on Tuesday as trading resumed after a holiday, lifted by gains in AI-related stocks on speculation of a Nvidia-OpenAI deal. Bank shares fell amid concerns over a U.S. firm's asset sales. The broader Topix index edged up 0.1%.

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South Korean companies' earnings rose 20 percent year-on-year in 2024, driven by increased semiconductor exports. Government data showed combined before-tax net profits reaching 181.9 trillion won, with the manufacturing sector leading the rebound. The year marked a transitional phase for artificial intelligence, boosting chip demand.

Analysts at Barclays forecast that the physical AI sector, encompassing robots and robotaxis, could reach a $1 trillion market value by 2035. This projection highlights advances in AI-enabled robotics and may support Tesla CEO Elon Musk's ambitions for substantial wealth growth. The report attributes this potential to improvements in computational power, mechanical capabilities, and battery technology.

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Alibaba chairman Joe Tsai has credited China’s advantages in artificial intelligence to investments in its power grid and open-source models. He stated that such massive investments have provided ample supply and low costs for the energy-intensive AI sector. China’s industrial depth highlights vast potential for AI applications, Tsai said.

 

 

 

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