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SHANGHAI, China, November 13, 2026, Semiconductor Manufacturing International Corporation (SMIC), China’s largest contract chipmaker, expects supply constraints across the artificial intelligence semiconductor industry to continue through 2027 as demand from data centres and private cloud operators remains strong. The company’s assessment highlights the pressure that rapid AI infrastructure expansion is placing on semiconductor manufacturing capacity and the wider technology supply chain.
SMIC Co-Chief Executive Zhao Haijun shared the outlook on Friday, November 13, saying the AI industry remains in its early stages and demand continues to be robust. His comments were reported by Reuters and reflect the company’s expectations for the sector rather than a confirmed forecast covering every semiconductor category.
Data Centre Expansion Continues to Drive Demand
The growth of artificial intelligence applications has increased demand for advanced computing infrastructure. Data centre operators are investing in processors, memory, networking equipment and supporting systems to handle the computational requirements of large AI models and other demanding workloads.
These investments have created additional pressure on semiconductor manufacturers. Chip production involves complex processes and specialised equipment, meaning that manufacturing capacity cannot always be expanded quickly in response to sudden increases in demand.
SMIC’s comments indicate that demand from data centres and private cloud operators remains a significant factor influencing the industry’s production requirements. The outlook suggests that technology companies may continue facing challenges in securing sufficient chip supply as they expand their AI infrastructure.
Manufacturing Capacity Involves Multiple Bottlenecks
The semiconductor supply chain depends on more than the availability of chip fabrication facilities. Manufacturing equipment, advanced materials, specialised components and memory supply can all influence the number of chips that manufacturers are able to produce.
Equipment procurement can involve lengthy delivery schedules, while the installation and qualification of new manufacturing tools require additional time. Even when manufacturers announce capacity expansion plans, the process of turning investment into commercial production can take several stages.
These challenges can affect both semiconductor producers and their customers. Companies developing AI servers and data centres must plan around delivery schedules, product availability and the possibility of higher component costs.
China’s Semiconductor Industry Faces Additional Complexity
SMIC operates in a technology environment shaped by domestic demand, international competition and restrictions affecting access to certain advanced semiconductor manufacturing technologies.
China has been working to strengthen its domestic semiconductor capabilities as technology companies seek greater control over critical components. SMIC’s position makes its assessment relevant to the country’s wider efforts to expand local manufacturing capacity.
However, the ability to increase production depends on access to equipment, technical expertise, materials and manufacturing processes. Supply constraints in any of these areas can influence the speed at which additional capacity becomes available.
Technology Companies Must Plan for Longer Supply Cycles
The prospect of continued tightness through 2027 could influence procurement and infrastructure planning across the technology sector. Chip designers, cloud providers and enterprise technology companies may need to secure components earlier and diversify suppliers where possible.
For the broader AI industry, semiconductor availability will remain an important factor in determining how quickly new computing infrastructure can be deployed. SMIC’s latest comments reinforce the view that the industry’s expansion depends not only on software innovation but also on the capacity of the global hardware supply chain.
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