TSMC's 3nm Capacity Is Fully Booked Through 2027

Taiwan's TSMC (Taiwan Semiconductor Manufacturing Company), the world's largest semiconductor manufacturer, faces an unprecedented situation: its leading-edge production line on the 3-nanometer process (3nm) is running at full load, and all of its capacity is booked through 2027. The cause is explosive growth in demand for the chips needed to build and run artificial intelligence (AI) systems. The 3-nanometer process (3nm) is one of the most advanced and complex semiconductor manufacturing methods.

It produces smaller, faster, and more energy-efficient chips, which is critical for compute-heavy workloads such as training neural networks and processing large volumes of data. AI's growing popularity across every sector, from autonomous vehicles to cloud services, has driven a sharp rise in demand for these chips, and that has led to TSMC's capacity shortage. The situation creates serious problems for the many companies that depend on TSMC for chip supply.

AI system developers and manufacturers are hit first: they now have to either wait their turn for production or look for alternative suppliers. Delays in chip deliveries could clearly slow the pace of the AI industry as a whole. Deutsche Bank analysts believe the situation opens up new opportunities for South Korea's Samsung Electronics, which also has the technology to manufacture chips on a 3-nanometer process (3nm).

Samsung may try to lure some orders away from TSMC by offering shorter production lead times. Whether Samsung can fully capitalize on this opportunity, however, remains to be seen. TSMC brings enormous experience and a reputation as a reliable supplier, which keeps it attractive to many customers despite its current capacity problems.

For end users, this could mean higher prices for AI-powered devices and services. The chip shortage and competition for manufacturing capacity could push semiconductor prices up, which will inevitably feed through to the cost of finished products. Releases of new smartphones, computers, and other devices built on advanced AI technology could also be delayed.

Ultimately, the shortage of TSMC's 3-nanometer chips is a serious challenge for the entire AI industry. It highlights the growing dependence on a small number of semiconductor manufacturers and the need to diversify supply. Competition in chip manufacturing will likely intensify in the coming years as other companies try to carve out a niche in this fast-growing industry.

The situation also raises the question of whether new manufacturing capacity and technology need more investment to meet growing demand for AI chips.