OFFRE D'UNE DURÉE LIMITÉE. Obtenez 3 mois à 0,99 $/mois. Profiter de l'offre.
Page de couverture de 🎙️ EP 16: The $1 Trillion AI Feedback Loop: Why OpenAI's Circular Deals Will Either Create the Future or Collapse Like Cisco in 2000

🎙️ EP 16: The $1 Trillion AI Feedback Loop: Why OpenAI's Circular Deals Will Either Create the Future or Collapse Like Cisco in 2000

🎙️ EP 16: The $1 Trillion AI Feedback Loop: Why OpenAI's Circular Deals Will Either Create the Future or Collapse Like Cisco in 2000

Écouter gratuitement

Voir les détails du balado

À propos de cet audio

 Your grandmother probably thinks AI is just fancy autocomplete. Your investors think it’s the next industrial revolution. Both might be right. And that’s exactly the problem.Welcome to the most expensive game of musical chairs in human history.In October 2025, OpenAI—the company that made you question whether your job is safe—signed roughly $1 trillion worth of deals. Not over decades. Not in theoretical future value. One trillion dollars in commitments that locked together the biggest names in tech like a high-stakes game of Twister.Nvidia committed up to $100 billion to OpenAI’s data centers. AMD followed with tens of billions more. Oracle inked a $300 billion cloud contract. Each company took equity stakes in OpenAI while simultaneously becoming its customer and supplier.It’s beautiful. It’s terrifying. And if you’re building anything in Southeast Asia, it’s about to force your hand.The Flywheel That Might Break the WorldHere’s what’s actually happening beneath the surface of those press releases.OpenAI needs computing power—not just a lot, but an almost incomprehensible amount. We’re talking 20 gigawatts worth of data centers. That’s the output of 20 nuclear reactors, running continuously, just to train the next generation of AI models.They can’t pay for this upfront. So they’ve structured deals where chipmakers like Nvidia essentially finance OpenAI’s infrastructure in exchange for guaranteed orders. Nvidia’s money buys data centers filled with... Nvidia chips. Which OpenAI uses to train AI models. Which drives demand for more Nvidia chips. Which justifies Nvidia’s stock price. Which gives Nvidia more currency (in the form of valuable equity) to invest in... OpenAI.See the loop?Now multiply this across AMD, Oracle, Microsoft, and a web of cloud providers and startups. Everyone is simultaneously the investor, the customer, and the supplier. Capital flows in a perfect circle, each deal reinforcing the next, each rising stock price validating the previous bet.This is either the most sophisticated value-creation flywheel ever constructed, or it’s vendor financing on steroids.The Cisco Parallel Nobody Wants to Talk AboutIf you’re over 35, you remember what happened to Cisco Systems.Late 1990s. Internet boom. Cisco was the arms dealer of the dot-com gold rush—selling routers and networking equipment to every startup that raised venture capital. Their stock went parabolic. They briefly became the most valuable company on Earth.Then came the vendor financing strategy. Cisco would invest in or loan money to internet companies... so those companies could turn around and buy Cisco equipment. Revenue exploded. Wall Street cheered. Cisco executives became billionaires.Until the music stopped.When the dot-com bubble burst in 2000, Cisco discovered that a huge chunk of their “revenue” was actually just their own money cycling through customer companies. Those customers went bankrupt. Cisco’s stock dropped 90%. The playbook that seemed genius became the textbook example of bubble economics.Nvidia’s $100 billion stake in OpenAI looks uncomfortably similar.Is this time different? Maybe. AI is real in a way many dot-com businesses weren’t. ChatGPT has 200 million users. Companies are deploying AI in actual workflows, not just buying vaporware.But here’s the uncomfortable question: How much of AI’s current growth is real demand versus artificially inflated demand created by these circular financing arrangements?Why This Matters for Southeast Asia (And Why You Have Less Time Than You Think)While this trillion-dollar poker game plays out in Silicon Valley and Shenzhen, Southeast Asia is being forced to make a choice it didn’t ask for.Do we join this ecosystem on whatever terms we can get? Or do we try to build our own capabilities knowing we’re years behind?The honest answer: We need to do both. And we have maybe 24 months before the window closes.Here’s why the timeline is so tight.Right now, these mega-deals are still being structured. Standards are still fluid. The technology stack is still evolving. There’s room for regional players to position themselves as integration layers, deployment partners, or specialized service providers.But once these circular deals lock in—once Nvidia’s chips only work seamlessly with Microsoft’s cloud which only optimizes for OpenAI’s models—the interoperability window slams shut. You’re either inside the ecosystem or permanently outside it.And if you’re outside? Good luck competing when your opponent has access to computing power you can’t afford, AI models you can’t replicate, and partnership networks you can’t penetrate.This is the new digital divide, and it’s being drawn right now.The Robot Revolution Nobody’s Pricing InIf the AI investment loop was just about software and cloud services, we could debate whether it’s sustainable. But there’s a second wave coming that changes everything: ...
Pas encore de commentaire