# The *Slow* AI Meltdown is Worsening. Source: https://www.youtube.com/watch?v=ZhL002qy2lo Recap page: https://rapidrecap.app/video/ZhL002qy2lo Generated: 2026-02-25T23:09:27.885+00:00 --- ## Quick Overview The perceived "slow AI meltdown" is characterized by a worsening private credit liquidity crunch, evidenced by collapsing CLO equity funds and rising default forecasts, even while Nvidia reports massive earnings, suggesting that the capital structure funding the AI buildout faces significant stress that could lead to a wealth gap acceleration. **Key Points:** - Nvidia reported strong earnings, generating $36 billion in free cash flow, which is more than enough to cover a theoretical $30 billion investment into OpenAI. - Concerns about private credit collapsing are evidenced by Oracle's credit default swaps hitting their highest level since 2008, reaching 163.7. - Collateralized Loan Obligation (CLO) equity funds, which fuel private credit, have plummeted 15% to 35% in less than 90 days for companies like Eagle Point Credit and Soundpoint Meridian. - UBS forecasts that private credit defaults could reach as high as 15%, a significant increase from the 3% to 5% current default rates, suggesting worsening conditions. - The Citrini report posits a potential deflationary spiral if mass white-collar layoffs due to AI occur, though the speaker finds this hyperbolic, noting technology often creates new jobs like ATMs did for bank tellers. - Citadel countered the Citrini report by showing that Indeed job postings for software engineers are actually rising 11% year-over-year and that AI adoption usage is relatively flat on the S-curve. - Robin Hood is launching a private equity venture fund (RVI) as a closed-ended fund, which the speaker warns will trade like a meme token because the underlying assets like Stripe and Databricks lack independent market discovery at their current valuations, representing Wall Street offloading the riskiest equity portion. **Context:** The discussion analyzes current market contradictions: booming AI-related stock performance, exemplified by Nvidia's earnings beat, set against mounting stress in the private credit markets that underpins AI infrastructure spending. The speaker contrasts these facts with theoretical doomsday scenarios, such as the Citrini report predicting mass white-collar job loss and deflation, while also examining real-world signs of stress like falling CLO equity values and the launch of Robin Hood's new venture fund. ## Detailed Analysis The analysis begins by confirming Nvidia's continued dominance, noting its $36 billion free cash flow, which dwarfs potential AI investments like OpenAI. However, this success is juxtaposed with severe liquidity tightness in private credit, highlighted by Oracle's CDS levels being the highest since 2008 and reports of private credit funds selling assets at a loss, such as half a billion dollars at 94% value. The speaker simplifies the risk structure using a real estate analogy, explaining that in leveraged deals, equity partners absorb losses first before debt holders, indicating that private equity holders are likely taking significant hits while private credit (the debt) shows distress. UBS revised its private credit default forecast upward to 15%, signaling worsening risks. The speaker then dissects the Citrini report, which warns of a deflationary spiral driven by AI-induced white-collar job losses, potentially spiking the NASDAQ to 30,000 before collapsing; the speaker argues this scenario is overly focused on white-collar consumption and ignores historical job creation trends, citing Citadel's counterpoint on rising software engineer postings and flat AI usage adoption. Finally, the launch of Robin Hood's Venture Fund (RVI) is scrutinized as a move to sell the riskiest equity portion of private holdings to retail investors, likely at peak valuations, leading the speaker to predict it will trade like a meme token due to the lack of underlying valuation benchmarks for its illiquid assets, concluding that the wealth gap will widen regardless of the AI outcome because asset owners benefit when the Fed eventually cuts rates. ### Nvidia Performance and AI Funding - Nvidia generated $36 billion in free cash flow, confirming its dominance - AI spending seems driven by fewer dollars leading to liquidity tightness - Hardware cycle is currently at the end, while the beginning of the cycle holds risk. ### Private Credit Stress Indicators - Oracle's CDS sits at 163.7, the highest since 2008 - CLO equity funds like Eagle Point Credit lost 15% to 35% in 90 days - UBS now forecasts private credit defaults as high as 15%, up from 13%. ### Leverage Structure Explained - In a $100M development deal (70M debt, 30M equity), the equity partner loses money first if the deal loses value - Private credit acts as the debt, and private equity acts as the equity, meaning PE takes the first hit. ### Citrini AI Doom Scenario vs. Citadel Counter - Citrini predicts AI-driven white-collar layoffs cause a deflationary spiral leading to market collapse by 2026 - Citadel counters with rising software engineer job postings (up 11% YoY) and suggests AI adoption is on the slower part of the S-curve. ### Robin Hood Venture Fund Launch Analysis - Robin Hood RVI is a closed-ended private equity fund launching with 40 million shares at $25 - Robin Hood is dumping about 80% of its initial investment back into the offering, selling shares to new buyers - The fund will trade like a meme token because underlying valuations for companies like Stripe ($140B) lack market discovery.