Advanced Micro Devices (AMD) is asking its manufacturing and supply chain partners to significantly increase production capacity as global demand for AI chips continues to surge beyond expectations. The company’s CEO Lisa Su confirmed the development during her visit to Taiwan, highlighting the growing pressure on semiconductor supply chains driven by rapid AI adoption worldwide.
According to AMD, demand for AI infrastructure, AI inference systems, and enterprise computing platforms has expanded far more rapidly than originally anticipated. Lisa Su stated that the company is working closely with partners across the semiconductor ecosystem to ensure sufficient chip supply through 2027 and beyond, particularly as AI workloads continue to spread across cloud computing, enterprise systems, and edge devices.
Taiwan remains central to AMD’s global AI strategy because of its critical role in advanced semiconductor manufacturing. The company relies heavily on Taiwan Semiconductor Manufacturing Company (TSMC) for production of its advanced processors and AI accelerators. AMD has also announced plans to invest more than $10 billion across Taiwan’s AI ecosystem, including investments in advanced packaging, substrates, manufacturing infrastructure, and assembly capabilities.
Industry analysts believe the growing demand is being driven not only by AI model training but increasingly by AI inference workloads, where trained models are deployed into real-world applications. Lisa Su noted that the rise of agentic AI and enterprise AI systems is significantly increasing CPU and GPU requirements across data centers and enterprise infrastructure. This shift is creating sustained demand for AMD’s EPYC processors, Instinct GPUs, and Ryzen AI products.
AMD has been aggressively positioning itself as one of the strongest challengers to Nvidia in the AI semiconductor market. Over the past year, the company has expanded investments across CPUs, GPUs, networking technologies, AI accelerators, and software ecosystems. It has also strengthened partnerships with cloud providers, enterprise customers, and open-source AI developers as part of its broader AI expansion strategy.
The company’s AI business has already contributed significantly to financial growth. AMD recently reported stronger-than-expected quarterly earnings, supported by robust demand for AI chips and data-center products. Investor confidence in AMD has also increased as enterprises seek alternatives to Nvidia’s dominant AI hardware ecosystem.
However, scaling AI chip production remains a major challenge for the semiconductor industry. Experts have warned that bottlenecks in advanced chip packaging, memory supply, and fabrication capacity could continue constraining output over the next several years. AMD’s push to increase manufacturing capacity reflects broader industry concerns that global AI demand may continue exceeding available semiconductor supply.
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