The AI Boom: Revolution or Capital Destruction?

The Trillion-Dollar Question

The AI revolution has undoubtedly transformed the way businesses and investors think about the future. But the biggest question today is no longer whether AI will change the world - it almost certainly will. The real question is whether the companies investing trillions of dollars into AI infrastructure will generate returns that justify this unprecedented spending.

Jefferies’ Global Head of Equity Strategy, Chris Wood, has warned that the hundreds of billions of dollars being poured into AI infrastructure could culminate in “massive capital destruction” as cheaper Chinese open-source models erode the economics underpinning America’s investment frenzy.

Wood’s longer-term base case is that market share will gradually shift towards Chinese large language models, while investors increasingly question whether US technology companies can generate adequate returns from their unprecedented capital expenditure. Microsoft, Alphabet, Amazon and Meta are expected to spend a combined US$695 billion on capital expenditure in 2026, rising to US$870 billion in 2027. Together, that amounts to nearly US$1.57 trillion over just two years.

Alphabet alone recently raised its 2026 capital expenditure guidance by another US$15 billion, taking expected spending to between US$195 billion and US$205 billion.

The scale of spending has transformed businesses once celebrated for their asset-light business models. After revising their guidance earlier this year, the four hyperscalers are now expected to spend an astonishing 92% of their operating cash flow on capital expenditure in 2026.

Initially, investors welcomed this spending because demand for AI appeared to validate these investments. Anthropic’s annualised revenue run rate, for example, reportedly increased from US$9 billion to US$47 billion within a matter of months, reinforcing optimism around enterprise adoption and agentic AI.

However, the question investors had postponed is now becoming impossible to ignore: Where will the returns on all this capital actually come from?

China Is No Longer Just Catching Up

The threat from China is no longer limited to offering cheaper AI models. Increasingly, China is being viewed as a genuine technological peer rather than merely a fast follower.

According to the report, Chinese AI models processed 36.39 trillion tokens on OpenRouter during one week in July, compared to just 7.39 trillion tokens for leading US models. Competition intensified further with the launch of Moonshot AI’s open-source Kimi K3 model, which reportedly delivers around 95% of the performance of Anthropic’s Claude Fable 5.

This follows what many investors now refer to as the “DeepSeek moment” in early 2025, when Chinese open-source models first demonstrated that high-quality AI could be delivered at dramatically lower costs. Why does this matter? Because if high-quality AI becomes freely available through open-source alternatives, pricing power shifts away from proprietary model developers. AI risks becoming a commodity rather than a premium product, making it much harder to earn attractive margins.