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Semiconductor Manufacturing International Corporation (SMIC), China’s largest contract chipmaker, has warned that strong demand for artificial intelligence processors is likely to keep parts of the semiconductor supply chain constrained through 2027. The outlook was shared by co-CEO Zhao Haijun on November 13, highlighting the continuing pressure created by investment in data centres and private cloud infrastructure.
The comments indicate that the industry’s supply challenges extend beyond the availability of individual AI accelerators. Foundry capacity, memory components, manufacturing equipment and supporting infrastructure are all important parts of the supply chain.
Data Centre Investment Sustains Chip Demand
AI companies and cloud providers continue to expand their computing capacity to support model training, inference and enterprise applications. These workloads require large quantities of high-performance processors and memory, increasing demand for semiconductor manufacturing services.
SMIC’s management said the AI industry remains in an early stage and that demand is still robust. The company therefore expects supply constraints to remain a factor for the sector through the coming year.
The outlook is a management assessment rather than a guarantee that shortages will persist across every chip category. Different products and manufacturing processes may experience different supply conditions.
Manufacturing Equipment Adds to Capacity Challenges
Building semiconductor production capacity requires specialised equipment, highly controlled manufacturing environments and lengthy qualification processes. Expanding a fabrication facility does not automatically translate into immediate production growth.
SMIC’s comments also underline the importance of equipment availability and memory supply. Even when demand is strong, manufacturers may be unable to increase output quickly if key components or production tools have long delivery times.
These constraints can affect chip designers, cloud infrastructure providers and businesses planning large AI deployments.
Technology Companies Face Longer Planning Cycles
For companies building AI data centres, prolonged supply constraints can complicate investment decisions. Hardware procurement, facility construction and power availability must be coordinated, and delays in one part of the system can affect the entire deployment schedule.
The warning also highlights the strategic importance of semiconductor manufacturing capacity as countries and companies seek to strengthen domestic technology supply chains.
SMIC’s outlook suggests that demand for AI-related chips remains a major driver of the semiconductor market. However, the pace at which manufacturers can expand capacity will remain an important factor in determining how quickly new AI infrastructure can be deployed.
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