TSMC is at the heart of high-end chip production. (AP)
[Finance Channel/Comprehensive Report] With the rapid development of AI technology, global technology giants continue to increase related investments. From chips, cloud computing to power supply, the AI infrastructure industry has ushered in a new wave of growth opportunities. Foreign media pointed out that Meta, OpenAI partners, Anthropic and other companies have successively proposed large-scale spending plans, and billions of dollars of funds have poured into the market, which has also attracted the attention of investors in the semiconductor and AI infrastructure supply chain. Among them, three companies, TSMC, Tokyo Weili Technology and ASML, were named as representative targets that may benefit from the investment wave of general artificial intelligence (AGI).
Investment media Simply Wall St reported that relevant analyzes pointed out that competition in the AI industry has not been smooth sailing. Although huge capital expenditures have the opportunity to boost the operating performance of some companies, if companies miscalculate market demand, production capacity allocation or product pricing, they may also face profit pressure. In addition to paying attention to the investment amount of major technology companies, investors should also pay attention to how the flow of funds is actually reflected in the revenue and profitability of supply chain players.
TSMC grasps the demand for advanced processes and AI chips become an important growth driver
The first is TSMC. TSMC is one of the companies that most directly reflects the investment trend in AI infrastructure. As large cloud service providers expand AGI-related investments, the demand for advanced chips and high-performance computing (HPC) continues to increase. TSMC is expected to continue to seize market opportunities with its advanced process technology and R&D capabilities. Its product applications cover data centers, mobile phones, automobiles and other fields.
However, investors are still focused on how to strike a balance between future AI capacity expansion and market demand, and whether related changes will affect the company's pricing power and profitability.
Tokyo Weinig Technology benefited from the expansion of the wafer factory, and the new factory's production capacity is expected to triple
Tokyo Weili Technology, a major Japanese semiconductor equipment manufacturer, mainly provides semiconductor manufacturing equipment and related products are used in AI chip production. According to data, the company's revenue comes entirely from the semiconductor production equipment business, with revenue of approximately 2.9313 billion yen and a market value of approximately 18.7037 billion yen.
It is worth noting that Tokyo Weili Technology’s innovative production center in Miyagi Prefecture, Japan, is expected to triple its current production capacity in the future. As production capacity expands, equipment shipments may also increase, further boosting revenue scale and operating leverage. However, it is still necessary to observe the impact of changes in AI equipment demand and product mix on the company's pricing capabilities and profit margins.
ASML masters key lithography technology, export control becomes market variable
The third tier is ASML, a Dutch semiconductor equipment manufacturer. The company mainly supplies lithography and measurement equipment and is an important equipment manufacturer for the production of advanced process wafers. As the demand for high-end data centers, cloud services and AI accelerators increases, ASML has also become an important beneficiary of the wave of AI infrastructure investment.
According to data, Asmore’s revenue from semiconductor equipment and services is approximately 39.5 billion euros, and its market value is approximately 490.8 billion euros. However, geopolitics and semiconductor equipment export restrictions, especially control measures involving the Chinese market, have also added variables to the company's operations. In addition to the demand for AI chips in the future, wafer fab capacity expansion and international policy changes may also affect ASML's equipment demand, pricing capabilities and profit performance.
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