AI boom strains global supply chains with hidden costs
Supply chain disruptions from AI’s infrastructure demands are reshaping global manufacturing, according to economist Willy Shih of Harvard Business School. This surge exacerbates pre-existing pressures from tariffs, reshoring efforts, and geopolitical tensions, forcing companies to scramble for alternatives like RAM, chips, and labor-intensive assembly in countries like Vietnam or Mexico to…
Key points
- Companies like Apple source components from the U.S. but assemble iPhones in China due to **manual labor scale and automation limits**
- China’s **state-backed industrial policies** and regional competition drive its dominance in manufacturing, unlike U.S. ad-hoc tariff policies
Shih argues that short-term policy responses—such as tariffs or abrupt shifts in manufacturing locations—fail to address the deeper economic principles driving globalization. Instead, he advocates for long-term, regional trade blocs (e.g., North America, Europe, or Southeast Asia) to balance access to low-cost labor, critical minerals, and specialized manufacturing. China’s state-led industrial policies, he notes, have allowed it to dominate sectors like LCD manufacturing and electric vehicles by subsidizing overcapacity and fostering fierce regional competition, a model the U.S. struggles to replicate. Meanwhile, AI’s infrastructure demands are accelerating these dynamics, as data centers and supercomputers compete for the same supply chains that produce everything from smartphones to solar panels.
The hidden supply chain costs of the AI boom
The Verge AI · 5 November 2026
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