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China’s industrial boom may offer a playbook for AI investors

AI Buildout vs China’s 2000-2010 Investment Surge

Cumulative investment (USD trillions, inflation-adjusted)

AI Buildout vs China’s 2000-2010 Investment Surge

Data as at March 2026. Sources: Capital Group, Federal Reserve of St. Louis (FRED), Haver Analytics, National Bureau of Statistics of China. Values are adjusted for inflation using the US Consumer Price Index (CPI) as of March 2026. AI build-out estimates assume annual spending ramps up linearly from US$0.5T in 2022 to US$5.5T in 2032 (based on forecast data from 2025 onwards). Cumulative values are estimated using the trapezoidal method, which assumes linear change between observations and sums the average across intervals. Figures presented are for illustrative scale only. 

 

September 2026

The artificial intelligence (AI) buildout increasingly resembles another transformative investment cycle: China’s industrial boom in the 2000s. Like that, the AI buildout is following an S-shaped growth trajectory and facing similar questions over whether the scale of investment will generate adequate returns. China’s experience offers two lessons for AI investors today.

 

First, the investment opportunity ultimately extended far beyond the most visible early beneficiaries. What began with miners broadened into explosives, equipment, trucks, shipping and, eventually, the emerging market banks that financed the expansion. Some of the most significant opportunities emerged among the second, third and fourth-order beneficiaries of the cycle, rather than solely among its original winners.

 

A similar broadening appears to be unfolding around AI, potentially on an even larger scale. Our internal research estimates that cumulative AI-related investment could reach approximately US$30 trillion over the first ten years of the cycle, 1.5x the US$20 trillion invested during China’s boom.

 

While the initial phase has been dominated by computing power and advanced semiconductors, AI investment is increasingly extending into the real economy, creating opportunities across foundries, networking, cooling, power infrastructure, electrification, copper and potentially financing. Spending on power, energy and water infrastructure has already grown by around 10% since ChatGPT emerged in 2022. If this linkage holds, technology spending could potentially spur real-economy spending to grow at roughly twice its pace.

 

The second lesson is that the greatest rewards did not necessarily come at the beginning of China’s boom. Much of the value was captured through the middle and later stages by those who remained invested despite significant drawdowns and volatility. AI adoption is similarly unlikely to progress in a straight line. As markets continue to test assumptions around adoption, business models and returns on investment, periods of volatility may be an inherent feature of a long-term, structural transformation.

 

For investors, China’s experience suggests the AI opportunity may be broader and longer lasting than its first phase implies. The most interesting beneficiaries may increasingly be found beyond today’s most visible AI platforms, while the greatest rewards may accrue not only to those who entered early, but also to those able to remain invested as the cycle broadens and matures.

Past results are not predictive of results in future periods. It is not possible to invest directly in an index, which is unmanaged. The value of investments and income from them can go down as well as up and you may lose some or all of your initial investment. This information is not intended to provide investment, tax or other advice, or to be a solicitation to buy or sell any securities.
 
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