Tech & AIHouse of El: AIBanks Just Found Out What AI Debt Is Virtually Worth: Zero

Banks Just Found Out What AI Debt Is Virtually Worth: Zero

Long-form25:21Science & TechnologyPublished Sep 25, 2026, 4:00 PM · 3w ago
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515,657
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Views / hour now
33
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40
1d ago
First 24 hours
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Engagement
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3.4% of views
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21.2K
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Description

Enjoy 1 month of Wispr Flow Pro, on us from House of El AI: https://ref.wisprflow.ai/house-of-el-ai-yt AI companies are asking investors for sums of money so enormous they are starting to reshape the financial system around them, even as public trust is falling, employees are walking away, and the evidence on productivity remains far more complicated than the headlines suggest. The technology is real, the gains are real, and so are the failures. But underneath all of it sits a financial structure built on hundreds of billions in debt, future revenue projections, guarantees, and one very important assumption: that AI becomes valuable enough, fast enough, to pay for everything being built around it. This video follows that money and asks what happens if the technology succeeds, but not on the timeline the financial system is betting on. ☕ Support the channel on Ko-fi: ➡️ https://ko-fi.com/houseofel 📌 Chapters 00:00 Introduction 01:42 Why Are People Losing Faith In AI Companies? 08:50 Is AI Delivering On Its Promises? 13:32 What's The Underlying Financial Structure 16:35 Follow The Money 22:22 What El Thinks About This 📚 SOURCES & FURTHER READING Brynjolfsson, Li & Raymond (2025). "Generative AI at Work." https://academic.oup.com/qje/article/140/2/889/7990658 Rowan, Mittal, Ammanath & Perricos (2026). "State of AI in the Enterprise." https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2026/state-of-ai-2026.pdf Becker, Rush, Barnes & Rein (2025). "Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity." https://arxiv.org/abs/2507.09089 David (1990). "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox." https://www.jstor.org/stable/2006600 Dikici & Bilgin (2026). "Small Language Models: A Systematic Review of Computational Trade-Offs, Privacy Advantages and Deployment in Intelligent Systems." https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.70331 Wang & Chen (2026). "Boom, Bubble, or Buildout? A Multi-Method Evaluation of Whether Artificial Intelligence Is in an Ongoing Financial Bubble." https://arxiv.org/abs/2606.01575 Kedrosky, Wahi & Preston (2026). "The AI Bubble: Hidden Risks and Opportunities." https://theideafarm.com/wp-content/uploads/2026/02/Man_Group_Insights_The_AI_Bubble__Hidden_Risks_and_Opportunities_English_19-02-2026.pdf #AI #ArtificialIntelligence #OpenAI #Nvidia #AIBubble #WallStreet #TechIndustry #Economics #AIInvesting

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