BREAKING: The $610 Billion AI Ponzi Scheme Just Collapsed
Last night at 4pm EST, something unprecedented happened. Nvidia stock rallied 5% on earnings, then crashed into negative territory within 18 hours. Wall Street algorithms detected what humans couldn’t: the numbers don’t add up.
Here’s what they found.
Nvidia reported $33.4 billion in unpaid bills, up 89% in one year. Customers who bought chips haven’t paid for them yet. The average wait time for payment stretched from 46 days to 53 days. That extra week represents $10.4 billion that may never arrive.
Meanwhile, Nvidia stockpiled $19.8 billion in unsold chips, up 32% in three months. But management claims demand is insane and supply is constrained. Both cannot be true. Either customers aren’t buying or they’re buying without cash.
The cash flow tells the real story. Nvidia generated $14.5 billion in actual cash but reported $19.3 billion in profit. The gap is $4.8 billion. Healthy chip companies like TSMC and AMD convert over 95% of profits to cash. Nvidia converts 75%. That’s distress level.
Here’s where it gets criminal.
Nvidia gave $2 billion to xAI. xAI borrowed $12.5 billion to buy Nvidia chips. Microsoft gave OpenAI $13 billion. OpenAI committed $50 billion to buy Microsoft cloud. Microsoft ordered $100 billion in Nvidia chips for that cloud. Oracle gave OpenAI $300 billion in cloud credits. OpenAI ordered Nvidia chips for Oracle data centers.
The same dollars circle through different companies and get counted as revenue multiple times. Nvidia books sales, but nobody actually pays. The bills age. The inventory piles up. The cash never comes.
AI company CEOs admitted it themselves last week. Airbnb’s CEO called it vibe revenue. OpenAI burns $9.3 billion per year but makes $3.7 billion. That’s a $5.6 billion annual loss. The $157 billion valuation requires $3.1 trillion in future profits that MIT research shows 95% of AI projects will never generate.
Peter Thiel sold $100 million in Nvidia on November 9. SoftBank dumped $5.8 billion on November 11. Michael Burry bought put options betting Nvidia crashes to $140 by March 2026.
Bitcoin, which tracks AI speculation, dropped from $126,000 in October to $89,567 today. That’s a 29% crash. AI startups hold $26.8 billion in Bitcoin as collateral for loans. When Nvidia falls another 40%, those loans default, forcing $23 billion in Bitcoin sales, crashing crypto to $52,000.
The timeline is now certain. February 2026, Nvidia reports fourth quarter and reveals how many bills aged past 60 days. March 2026, credit agencies downgrade. April 2026, the first restatement. The fraud that took 18 months to build unwinds in 90 days.
Fair value for Nvidia: $71 per share. Current price: $186. The math is simple.
This is the fastest moving financial fraud in history because algorithms detected it in real time. Human investors are 90 days behind.
Read the full data driven deep dive article here - https://t.co/sDEf5Mdrtc
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The @SECGov twitter account was compromised, and an unauthorized tweet was posted. The SEC has not approved the listing and trading of spot bitcoin exchange-traded products.
📣 BREAKING: Warren Buffett's recent portfolio changes at Berkshire Hathaway are out:
Fully divested from
General Motors $GM,
Activision Blizzard $ATVI,
Procter & Gamble $PG,
Johnson & Johnson $JNJ.
Trimmed holdings in
HP $HPQ
Chevron $CVX.
Initiated a new position in Sirius XM $SIRI
After the debt ceiling bill was passed, CBO estimates showed US Federal debt hitting $50 trillion by 2030.
Today, we hit $33 trillion and have been adding an average of $1 trillion PER MONTH since the debt ceiling "crisis."
Under the new bill, the debt ceiling is effectively UNCAPPED until January 2025.
At the current pace, we would see $50 trillion in US debt within just a couple of years.
All as the Fed is calling for a soft landing and no recession.
What happens to US debt if a recession hits?
Right on schedule: Powell & Co. have officially managed to lose a whopping $100 BILLION - and you're paying for it; difficult to overstate the level of incompetence needed to have a money printer and still lose money; next stop: $200 billion...
@khemaridh Not to detract from the other important parts you mentioned but how exactly did you get to Yellowstone Club 👀 #Skiing . Invite me - haven’t been skiing since having our two kiddos 😅
👀👀👀 - Quick PSA: Watch this. 🏃♂️💨🏦
Can’t save them all @federalreserve - fatal misstep. You’ve altered the risk management department appetite in every institution in a dangerous way.
In summary: Fed lied, banks died.
They said rates would stay low.
The government sold bonds on that premise.
Then they suddenly hiked rates.
Crushing existing bondholders.
This is how the Fed caused the unrealized losses that led to SVB's insolvency. And maybe that of other banks. https://t.co/TVXqNtxxr7
I prompted ChatGPT to build a futures trading model using Python and a Neural Net, integrated with market data from Sierra Chart.
The model provides entries, exits and stop levels.
ChatGPT is up 46% this week trading ES and ZN.
Reply and Retweet and I'll DM the model.
The US government learned to overspend and print the difference
The debt is now $31 trillion and $100 trillion in liabilities
The only way out is printing more money
But destroying the savings of your citizens will make them angry
TOMORROW: Collapse of a crypto empire -- @GStephanopoulos sits down with former FTX CEO Sam Bankman-Fried to talk about what went wrong at the company in a one-on-one interview on @GMA.