North Asia AI Investment Logic: Why BNP Paribas is Betting on the Semiconductor Supply Chain

North Asia AI Investment Logic: Why BNP Paribas Is Betting on the Semiconductor Supply Chain

In June 2026, Grace Tam, Deputy Chief Investment Officer for Asia at BNP Paribas Wealth Management, stated on CNBC's *Squawk Box Asia* that she is bullish on AI-related sub-sectors in North Asia, specifically naming TSMC. This statement is not an isolated stock recommendation but reflects the deep recognition of the East Asian AI hardware supply chain by global capital.

The Core of North Asia AI: Semiconductor Manufacturing and Equipment

Grace Tam's optimism is rooted in the sustained explosion of AI computing power demand. From training to inference, from the cloud to the edge, the manufacturing side of AI chips is highly concentrated in East Asia. As the world's most advanced logic chip foundry, TSMC's capacity and process technology directly determine the pace of AI model evolution. But what is even more noteworthy is the entire North Asia semiconductor supply chain—from silicon wafers, photoresists, and etching gases in Japan, to memory chips in South Korea, and packaging and testing in Taiwan, China—which forms an irreplaceable ecosystem.

BNP Paribas's view aligns with mainstream market consensus: the first phase of AI investment is infrastructure, and semiconductor manufacturing is the most core infrastructure. North Asia's leading position in advanced processes (below 3nm) and advanced packaging (such as CoWoS) makes it a major beneficiary of AI capital expenditure.

Japan's Role: A Key Pivot from Equipment to Materials

Although Grace Tam only mentioned TSMC in the video, Japan's position in the North Asia AI supply chain cannot be ignored. Tokyo Electron holds a significant global share in etching and coating/developing equipment; Shin-Etsu Chemical and SUMCO supply high-purity silicon wafers; JSR and Tokyo Ohka Kogyo are core suppliers of advanced photoresists. These companies form an indispensable upstream for foundries like TSMC and Samsung.

Japan is also a testing ground for AI hardware innovation. TSMC's JASM plant in Kumamoto (a joint venture with Sony and Denso) marks Japan's renewed attraction of advanced semiconductor manufacturing. This plant primarily produces 22/28nm to 12/16nm process nodes for industrial AI applications such as image sensors and automotive MCUs, filling Japan's gap in edge AI chip manufacturing.

Extending the Investment Logic: Diversity in AI Sub-sectorsGrace Tam mentioned "AI-related sub-fields," implying that investment opportunities are not limited to semiconductor manufacturing. In North Asia, AI hardware also includes: high-speed interconnect chips (e.g., Broadcom and Marvell's SerDes), server cooling solutions (Nidec's water-cooling modules in Japan), high-bandwidth memory (Samsung, SK Hynix), and custom ASICs for AI acceleration (e.g., Google's TPC, manufactured by TSMC). Additionally, Japanese companies have unique advantages in the integration of robotics, industrial automation, and AI, such as Fanuc's AI quality inspection systems and Yaskawa's collaborative robots.

Long-term Trends: Structural Growth in AI Demand

BNP Paribas's bullish stance is based on an understanding of long-term AI trends. Despite concerns about a slowdown in training computing demand (i.e., "token-maxxing" peaking), inference-side demand is exploding as AI applications proliferate. The North Asian supply chain serves both training and inference, with cost and efficiency advantages. Japan, as a major supplier of semiconductor materials and equipment, enjoys bargaining power due to the difficulty of substituting its technological barriers (e.g., high-NA EUV photoresists, SiC substrates).

Risks and Challenges

Geopolitical risk is an undeniable variable for North Asian AI investment. U.S. export controls on Chinese semiconductor technology, coordination between Japan and the U.S. on restrictions against China, and Japan's own export reviews of advanced lithography equipment could all impact supply chain stability. Moreover, the high capital intensity of AI investment implies a longer return cycle, and whether companies can sustain cash flow remains to be seen.

Conclusion

Grace Tam's view is concise yet precise: the appeal of North Asian AI sub-fields lies in their irreplaceable hardware manufacturing capabilities. For Japan, semiconductor materials and equipment are not only a historical advantage but also key to industrial upgrading in the AI era. With the mass production of TSMC's Kumamoto fab, Japan is poised to reestablish its role as a manufacturing core in the AI hardware ecosystem. BNP Paribas's bet is essentially a long-term endorsement of this trend.