Archive · 27 Aug 2026
AI Boom Faces Debt, Funding and Cheaper Model Risks
A report says the AI boom is growing quickly, but it may have some weak spots.
Many AI companies are borrowing money to build data centers and buy equipment.
Some companies also fund one another, so trouble for one part of the industry could spread to others.
Cheaper AI models, including models from China, could reduce how much customers pay for advanced systems.
The price of using AI has already dropped by about 45% since May 2026.
Companies might also spend too much building AI infrastructure if demand does not grow as expected.
The report does not say that AI is definitely a bubble, but it warns that several problems could reinforce one another.
Taiwan and South Korea may face more economic risk than India if AI investment slows sharply.
360 ONE Asset’s August 2026 report identifies debt, circular financing and cheaper AI models as potential fault lines.
Debt-funded spending by U.S. hyperscalers and AI companies could transmit risks from infrastructure investment into credit markets.
Chinese open-weight models are narrowing the performance gap with U.S. models while operating at much lower costs.
The blended price per million AI tokens has fallen about 45% since May 2026 as users shift toward cheaper models.
Taiwan and South Korea may be especially exposed to an AI investment reversal, while India is considered relatively insulated by its more diversified equity market.
- Who
- 360 ONE Asset, U.S. hyperscalers, AI companies, Chinese and U.S. AI model developers, and investors are central to the report.
- What
- An August 2026 report assesses vulnerabilities that could disrupt the AI investment boom, including debt, circular financing, cheaper models and weaker demand.
- When
- The assessment appears in 360 ONE Asset’s August 2026 Panorama report; token prices are compared with May 2026.
- Where
- The risks involve the United States, China and global markets, with particular attention to Taiwan, South Korea and India.
- Why
- A slowdown could occur if AI productivity gains fail to justify spending, infrastructure becomes overbuilt, cheaper models reduce revenues, financing breaks down or regulation limits adoption.
Evidence of AI-Boom Vulnerability
Reasons a Bubble Is Not Established
Debt and circular financing
Evidence of AI-Boom Vulnerability
Rising debt-funded spending and circular financing could spread losses through suppliers, buyers and private-credit markets if funding weakens.
Reasons a Bubble Is Not Established
The report identifies these as potential vulnerabilities, but it does not state that they have already triggered a breakdown or crisis.
Cheaper AI models
Evidence of AI-Boom Vulnerability
Chinese and other open-weight models could reduce AI costs, pressure U.S. frontier labs and weaken the economic case for current spending.
Reasons a Bubble Is Not Established
The shift toward cheaper models could also reflect broader AI adoption and lower operating costs, rather than proving that demand is collapsing.
Overall bubble risk
Evidence of AI-Boom Vulnerability
Weak productivity gains, overbuilt infrastructure, macroeconomic weakness or regulatory tightening could cause the investment cycle to unwind.
Reasons a Bubble Is Not Established
360 ONE Asset has not declared that the AI boom is a bubble and presents the concerns as scenarios that could test the boom.
- Report
- 360 ONE Asset’s August 2026 Panorama report
- Token-price decline
- The blended price per million tokens has fallen roughly 45% since May 2026.
- Chinese model performance
- The report says Chinese models have reached comparable capabilities to U.S. models with a lag of about six months.
- Financing concern
- Increasingly debt-financed AI infrastructure spending could transmit risks into credit markets.
- Market concentration
- The top 10 Indian companies represent 19% of market capitalization, compared with 33% for the top 10 U.S. companies.
- Regional exposure
- Taiwan and South Korea are described as particularly exposed because their markets and growth have benefited from AI investment.