AMD's AI Ambitions: CEO Lisa Su Discusses CPU Demand, Taiwan Investments, and Future Growth

Advanced Micro Devices is deepening its involvement in the global artificial intelligence infrastructure development. CEO Lisa Su recently shed light on the burgeoning demand for CPUs, the expansion of partnerships within Taiwan's semiconductor landscape, and the accelerated production of next-generation chips designed for AI inferencing and agentic AI applications.

AMD's Strategic Moves in the AI Landscape

In Taipei, on Friday, May 22, 2026, AMD CEO Lisa Su announced that the CPU market is experiencing significantly higher demand than initially projected a year ago, primarily driven by the rapid expansion of AI infrastructure. This surge, fueled by AI inferencing and agentic AI workloads, is repositioning CPUs at the forefront of data-center computing, a space previously dominated by GPUs, as reported by Focus Taiwan. Su affirmed AMD's commitment to scaling up production capacity, with anticipated quarterly increases throughout the year and substantial expansions planned for 2027 and beyond, according to Reuters.

AMD also revealed plans to inject over $10 billion into Taiwan's AI supply chain ecosystem. This investment, announced on Thursday, May 21, 2026, aims to bolster advanced chip manufacturing and packaging capabilities. Su specified that the focus would be on sophisticated packaging, substrates, and rack-scale AI systems. AMD is co-investing with strategic partners, including ASE, SPIL, PTI, Wiwynn, Wistron, Inventec, Unimicron, Nan Ya PCB, and Kinsus, to ensure long-term manufacturing capacity through at least 2029.

Su underscored the foresight of AMD's early collaboration with TSMC, labeling it a "truly beneficial strategic decision" as advanced chip manufacturing gains increasing importance in the AI sector. She noted that AMD's proactive stance on advanced packaging technologies, which integrate multiple smaller chips into comprehensive computing systems, has also yielded considerable advantages, a methodology now widely adopted across the semiconductor industry.

During the CommonWealth Magazine summit in Taipei, Su projected that the AI infrastructure market could surpass $1 trillion within the next three to four years, as AI deployments broaden across various industries. She foresees the CPU market growing by more than 35% annually over the next five years due to escalating inference demand. Su highlighted AMD's competitive edge, stemming from its comprehensive AI infrastructure portfolio that encompasses CPUs, GPUs, and ASICs, rather than relying on a single chip category. The company's Venice CPU family, utilizing 2-nanometer technology, is specifically designed for cloud computing, throughput, and AI rack workloads through diverse processor architectures. Moreover, China continues to be a vital market for AMD, accounting for approximately 20% of its revenue. Following a meeting with Chinese Vice Premier He Lifeng in Beijing, Su reaffirmed AMD's dedication to collaborating with Chinese clients while adhering to U.S. export restrictions on advanced AI chips.

In a related development, Amkor Technology Inc is collaborating with AMD on advanced chip packaging, addressing the growing complexity and demand for AI chips. Amkor CEO Kevin Engel stated that advanced packaging has become a critical bottleneck in AI chip production, given that modern AI processors integrate multiple chips into unified systems. Engel added that Amkor is strengthening its integration with customers as it delves further into advanced packaging technologies, including initiatives connected to TSMC's operations in Arizona.

From a market perspective, on Friday, May 22, 2026, Advanced Micro Devices shares experienced a 2.60% increase, reaching $461.26 in premarket trading, nearing its 52-week high of $469.21, as reported by Benzinga Pro data.

The strategic moves by AMD, under Lisa Su's leadership, demonstrate a clear vision for navigating the rapidly evolving AI landscape. Their emphasis on innovation, strategic partnerships, and robust investment in manufacturing capacity positions them as a formidable player in the global technology sector. This proactive approach not only addresses current market demands but also lays a strong foundation for sustained growth and influence in the future of artificial intelligence.