Business
AI Chip Demand Fuels Surge in Nvidia and TSMC Market Value
The AI chip demand drives Nvidia and TSMC's significant market value increases in October, reflecting the growing integration of artificial intelligence in business operations.
(Reuters) - Nvidia (NVDA) led a surge in market value among global firms in October, buoyed by unrelenting AI chip demand as more companies integrate artificial intelligence into their daily operations. The rise in demand for advanced AI capabilities has triggered substantial investments in AI technologies, with Nvidia positioned at the forefront of this transformation.
Nvidia's market cap rose 9.3% in October to $3.26 trillion, reflecting its strong position in the AI chip market. The company's innovations in AI technology, including the development of supercomputing AI chips, have attracted significant interest from various sectors, including healthcare, finance, and autonomous driving. These industries are increasingly relying on AI to enhance efficiency, reduce costs, and improve decision-making processes.
Nvidia's supplier, Taiwan Semiconductor Manufacturing Company (TSMC), also saw its market value increase by 6.5%, reaching $832.8 billion. TSMC's better-than-expected third-quarter earnings and robust outlook for AI chip demand highlight the interconnectedness of the semiconductor industry and the growing AI market. TSMC’s ability to meet the rising demand for AI chips is crucial as it supplies major tech companies worldwide, ensuring that they have the necessary components to push their AI initiatives forward.
Apple briefly ceded its top global market capitalization spot to Nvidia, with a 3% decline to $3.4 trillion last month on a modest growth forecast and sluggish sales in China, before bouncing back. This shift illustrates the volatile nature of tech stocks and the competitive landscape among major players amid rising AI chip demand. Apple's performance, influenced by external market conditions, demonstrates the broader challenges facing technology firms that rely on semiconductor supply chains.
In contrast, the market values of Meta Platforms and Microsoft fell in October after both companies warned about escalating costs associated with AI chip demand. Meta cited higher expenditures for AI research and development as a significant factor impacting its profitability, while Microsoft faced increased operational costs linked to integrating AI capabilities into its products. This decline underscores the challenges that even leading tech companies face in balancing innovation costs with profitability, highlighting the pressures created by the burgeoning AI market.
Mark Haefele, chief investment officer at UBS Global Wealth Management, maintained a positive outlook on AI, advising investors to leverage near-term volatility to increase exposure to quality AI stocks. "We continue to favor select semiconductor names and big tech, and we expect our AI portfolio to deliver 35% earnings growth in 2024 and 25% in 2025," he noted. This optimistic stance reflects a broader belief among investors that AI chip demand will continue to grow, driving further advancements in technology and innovation.
In Asia, the market value of Tencent Holdings fell 9% to $483 billion in October, influenced by a wider decline in Chinese shares due to sluggish economic data and geopolitical tensions. The dip in Tencent's valuation emphasizes the global dynamics affecting tech companies and their valuations amid high AI chip demand. Investors are carefully watching these developments, recognizing the need for adaptive strategies in a rapidly changing market landscape.
US drugmaker Eli Lilly's (LLY) market value dropped 6.45% to $787.6 billion last month as its quarterly sales of high-profile weight-loss and diabetes drugs failed to meet Wall Street's sales estimates, resulting in a sharp decline in its shares. The drop reflects how external market conditions and technological advancements, including AI applications in healthcare, are reshaping investor expectations across various industries.
As the integration of artificial intelligence becomes increasingly essential across sectors, the AI chip demand is expected to remain a key driver of market dynamics. Companies like Nvidia and TSMC are poised to benefit from this trend, with their innovations setting the stage for future growth. Investors and industry leaders alike are closely monitoring this landscape, recognizing that the ability to adapt to changing demands in AI technology will be critical for success in the coming years.