AI buildout rivals China shock, $800 billion in 2026

The commentary draws its parallel from China's entry into the World Trade Organization in 2001, which set off a capital spending boom that lifted Chinese fixed investment from roughly $360 billion in 2000 to $3.2 trillion by 2010. Adjusted for inflation, cumulative Chinese fixed investment over that decade totaled about $20 trillion, reshaping global trade, commodities, inflation and labor markets for a generation.

Franz points to two channels through which AI echoes that period. China's manufacturing buildout lowered the cost of physical goods worldwide, unleashing disinflationary forces that suppressed interest rates and compressed manufacturing margins in developed economies. AI, he writes, is doing something similar through a different channel: lowering the cost of cognitive work, so that tasks involving pattern recognition, language processing or data synthesis face the same deflationary pressure. AI's physical footprint is also real — the International Energy Agency projects global data center electricity use will more than double by 2030, reaching 945 terawatt hours, roughly equivalent to Japan's entire current power consumption.

The piece also notes that China's story is not over, pointing to its continued move into higher-value industries such as auto manufacturing and health care, and the development of cheaper AI models that are, by some estimates, only about 5% behind the cutting-edge U.S. models. The political economy risks, Franz suggests, may be even more acute than in the China shock, which accelerated inequality and contributed to political polarization. If AI functions primarily as a substitute for cognitive labor rather than a complement, he warns, the distributional consequences could be severe, citing historian Will Durant's argument that inequality tends to be resolved through enlightened redistribution or capital destruction.