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AI Bubble Warning: Debt & Chinese Models Risk
27 Aug
Summary
- Debt-funded AI capex and circular financing pose risks.
- Cheaper Chinese open-weight models narrow performance gap.
- India's diverse market offers some protection from unwind.
Artificial intelligence investment growth is encountering several potential vulnerabilities, including increased debt-financed expenditures and the rise of cost-effective Chinese open-weight models. These factors could trigger a significant market correction.
Circular financing arrangements, a substantial part of AI lab spending, and the increasing capability of Chinese AI models present supply-side risks. Chinese models now match Western capabilities with a six-month lag and operate at a fraction of the cost, impacting frontier model valuations.
The shift to cheaper open-weight models has already reduced costs, with prices per million tokens falling approximately 45% since May 2026. This trend could de-rate major US AI labs. Additionally, overbuilding infrastructure and technological advances reducing compute needs add to the vulnerability.
While Taiwan and South Korea are particularly exposed due to their AI-dependent markets, India's diversified equity structure offers some insulation. However, even India may see a slowdown in data-center investments if global AI capital expenditure contracts, potentially muting growth.
