AI infrastructure boom drives Taiwanese suppliers to expand production in the US: Implications for Canada's tech industry chain

Event: Taiwan Supplier's "Made in USA" Shift

In July 2026, Nightfood Holdings Inc. (OTCQB: NGTF, operating as TechForce Robotics) announced it was evaluating an additional 100,000 square feet of dual-region manufacturing capacity across Taiwan and the United States, in collaboration with its strategic partner Jiun Jiang Enterprise Co., Ltd. This move directly targets semiconductor, advanced packaging, and industrial automation customers, serving as a typical signal of the AI infrastructure boom penetrating downstream equipment segments.

Meanwhile, TSMC has confirmed the construction of an advanced packaging factory in Arizona, with production planned for 2029, and issued a clear "follow us to build a factory" invitation to its Taiwan-based suppliers. The $20 billion capital injection approved by the company in May brings the total estimated investment in its Arizona project to $165 billion. Axios reported this month that the entire chip supply chain—from advanced packaging and high-bandwidth memory to lithography equipment—is already under full strain.

Reason: AI Chip Demand Triggers Equipment Gaps

Deloitte forecasts global semiconductor sales will reach $975 billion in 2026, up 26% year-over-year, with AI chip revenue approaching $500 billion. However, silicon wafer shipments are only growing by about 5.4%, indicating that demand is highly concentrated in complex, equipment-intensive advanced processes.

Pressure has cascaded down to the most basic link: grid equipment. Reuters reported this month that delivery times for basic power transmission and distribution equipment such as transformers in the U.S. have extended from roughly one year in 2020–2021 to several years. This vividly shows that the AI data center buildout consumes physical infrastructure far beyond the GPUs themselves.

Industry Impact: Automation Equipment Becomes the Next Key Layer of AI

Global chip capacity expansion cannot be supported by existing equipment alone; robotics and automation systems are becoming the core enablers of industry scaling. GlobalFoundries describes this trend as "physical AI moving from data centers to manufacturing equipment," estimating the related market will reach at least $18 billion by 2030. Independent research projects that the data center robotics market will grow from $2.37 billion in 2026 to $17.14 billion by 2035, with a compound annual growth rate exceeding 24%.

Nightfood's expansion is a bet on this "overlayer": its TechForce Robotics platform provides semiconductor automation, advanced packaging equipment, and smart manufacturing systems. Although these segments rarely make headlines, they are prerequisites for any new wafer fab or packaging line to commence production.

Significance for Canada: Opportunities and Shortcomings in Supply Chain RestructuringAlthough Canada does not directly produce the most advanced AI chips, it holds a prominent position in the AI innovation ecosystem—research clusters such as the Vector Institute and the University of Toronto, along with domestic chip design companies like Tenstorrent and Untether AI, are key components of the global AI hardware ecosystem.

Opportunities: The migration of Taiwanese suppliers to the United States means that North America will see a denser concentration of semiconductor manufacturing and packaging nodes. Canada can seize this opportunity to attract these companies to set up supporting factories or R&D centers in its manufacturing-rich provinces, such as Quebec and Ontario. Canada's abundant clean energy resources (e.g., Hydro-Québec) could also become a locational advantage for energy-intensive chip manufacturing plants.

Challenges: If Canada fails to enhance its domestic capabilities in automation equipment manufacturing in a timely manner, it may become a bystander in this supply chain restructuring. Canada's manufacturing sector has long been limited in scale in the precision automation equipment field, lagging behind supply chain clusters in Taiwan and South Korea. The surge in demand for AI equipment provides a window for Canadian SMEs to enter niche markets (e.g., specialized robots, inspection equipment), but this requires intensive policy support and capital investment.The strategic significance of this issue for Canada's tech industry does not lie in directly competing in wafer manufacturing, but rather in automation equipment and precision manufacturing—one of the fastest-growing and most profitable segments of the AI infrastructure, where Canada boasts world-class university research in robotics, computer vision, and machine learning. If Canada can translate its research strengths into mass-producible products and actively participate in the construction of North America's semiconductor industry cluster, it has the potential to upgrade itself over the next decade from an "AI software lab" to a key node in the "AI hardware ecosystem." Otherwise, the physical relocation of the supply chain will only further strengthen the manufacturing corridor in the southern United States and Mexico, leaving Canada marginalized.