# The AI Bank Run Has Started **URL:** \ **Category:** Content Creators\ **Tags:** sasha-yanshin, finance, investment, economy\ **Created:** [29 September 2026 16:57 UTC](https://www.artofsm.art/t/the-ai-bank-run-has-started/24593 "2026-09-29T16:57:55Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [29 September 2026 16:57 UTC](https://www.artofsm.art/t/the-ai-bank-run-has-started/24593/1 "2026-09-29T16:57:55Z")
[![](https://www.artofsm.art/uploads/default/original/3X/b/6/b6f98fd8bf403dea8de8e16bae6f0bd885725842.jpeg "The AI Bank Run Has Started") ](https://www.youtube.com/watch?v=I3Pw2EjCFns) The AI industry is facing a financial crisis as Oracle struggles with debt on a massive, electricity-starved data center, triggering a “bank run” on private credit funds that finance AI infrastructure, with investors rapidly withdrawing amid illiquid assets and rising safer investment alternatives. This turmoil is compounded by a hidden $2 trillion off-balance-sheet debt, commoditization of AI models reducing revenue potential, and uncertain consumer demand, exposing significant financial instability and potential upheaval in the AI sector. ---
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [29 September 2026 17:21 UTC](https://www.artofsm.art/t/the-ai-bank-run-has-started/24593/3 "2026-09-29T17:21:57Z")
The AI industry is currently facing a significant financial crisis, centered around Oracle, a key player in building AI data centers. Oracle is struggling to meet its debt obligations, particularly related to a massive data center under construction in New Mexico that lacks electricity due to permit delays and local opposition. This has led Oracle to attempt to avoid payments on the data center lease, despite contractual obligations to continue paying even without power. The data center requires an enormous amount of electricity—equivalent to powering millions of homes—highlighting the scale of the project and the severity of the issue. This financial strain has triggered a “bank run” on private credit funds that finance much of the AI infrastructure buildout. Investors are rapidly withdrawing their money from these funds, with withdrawal requests reaching unprecedented levels of over 13% per quarter, far above the historical norm of 1-3%. These funds cannot meet the demand for withdrawals because their capital is tied up in illiquid assets like data centers, forcing them to limit payouts and causing fund sizes to shrink. Major funds managed by firms like Apollo Global and Blackstone are experiencing these pressures, exacerbated by rising Treasury yields that offer safer investment alternatives. Behind this turmoil lies a hidden $2 trillion problem involving private AI companies like Anthropic and OpenAI, both of which have delayed IPO plans amid uncertain financial conditions. Much of the financing for AI data centers and infrastructure is off-balance-sheet, with future payment obligations only recognized once data centers become operational. This creates a looming financial burden as companies are locked into long-term leases and debt repayments, even as the market for AI services becomes increasingly commoditized and competitive. The commoditization of AI models is intensifying the financial challenges. New, specialized AI models like Jev, which focus on narrow tasks such as coding, are emerging at lower costs and faster speeds, undermining the dominance of major players like OpenAI and Anthropic. Customers are rapidly switching between AI providers based on cost and performance, showing little brand loyalty. This volatility contrasts sharply with the long-term financial commitments companies have made to expensive infrastructure, creating a mismatch between revenue potential and fixed costs. Finally, the industry is grappling with the reality that the expected massive consumer spending on AI services may not materialize. Companies have extended depreciation periods for data centers and hardware to spread out costs, but this only delays the financial impact. As the market shifts toward a race to the bottom in pricing and customer demand remains uncertain, private credit markets are beginning to panic. The AI bubble’s financial instability is becoming increasingly visible, signaling potential upheaval ahead for investors and companies alike. ## Useful Links - [Blue Owl Capital official website](https://www.wsj.com/finance/investing/blue-owl-investors-ask-to-withdraw-4-7-billion-from-flagship-funds-43c440cf) — Directly related to private credit funds financing AI infrastructure and facing withdrawal pressures. - [Apollo Global Management official website](https://www.apollo.com/strategies/asset-management/credit) — Directly related to private credit funds financing AI buildout and facing liquidity issues. - [Jev AI model release announcement or repository](https://typesafe.ai/blog/introducing-system-one-models-and-jev) — Illustrates the commoditization of AI models impacting financial dynamics.