Private banks CREATE much of society’s money through lending, and this mechanism increasingly supports AI companies, data-centre construction and the wider infrastructure boom.
Summary
Private banks create most of society's money through lending, a mechanism increasingly supporting AI companies, data-centre construction, and the wider infrastructure boom. This AI finance system also heavily relies on bonds, private credit, and circular investments between chipmakers, cloud providers, and AI firms. This complex structure introduces significant risks, including hidden leverage, inflated demand, potential stranded assets, refinancing failures, and broader financial contagion. For instance, the five largest technology investors spent over \$400 billion on capital expenditure in 2025, projected to rise by 75 percent in 2026, with global data-centre electricity consumption expected to nearly double from 485 terawatt-hours in 2025 to 950 terawatt-hours in 2030. Governments are urged to map total financial exposures, mandate disclosure of circular relationships, stress-test lenders, regulate private credit, and condition public subsidies on transparency and demonstrable public value.
Key takeaway
For policymakers and financial regulators assessing AI investment risks, you must recognize that private bank lending and circular corporate investments significantly shape AI infrastructure financing. Your focus should be on establishing an AI-infrastructure credit register, mandating disclosure of circular financial relationships, and conducting system-wide stress tests across banks, insurers, and private-credit vehicles. This proactive approach will limit hidden leverage, prevent socialized losses, and ensure credit creation serves a demonstrable economic and social purpose, rather than merely validating speculative demand.
Key insights
Private bank lending and circular investments fuel AI infrastructure, creating systemic financial risks requiring urgent regulatory oversight.
Principles
- Private banks create most money through lending.
- AI infrastructure is unusually credit-intensive.
- Circular investments blur genuine market demand.
In practice
- Map ultimate borrower and guarantor exposures.
- Disclose circular financial relationships.
- Stress-test lenders against AI-specific risks.
Topics
- AI Finance
- Money Creation
- Data Center Infrastructure
- Private Credit
- Financial Contagion
- Regulatory Oversight
Best for: Entrepreneur, Investor, Policy Maker, Executive
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Editorial summary, takeaway, and curation by AIssential. Original article published by Pascal’s Substack.