1. First, just look at how “crazy” the market has been over the past two days
On November 3, the U.S. midterm elections took place, and the Democrats won control of both chambers of Congress. On November 4, the Dow surged 1,200 points intraday and closed up 3%. Then, on November 5, the market abruptly reversed course: the Nasdaq fell 5.52%, and the Philadelphia Semiconductor Index plunged 12.25%—its worst drop since the pandemic began in 2020.
It wasn’t just stocks—crypto took a hit too. Bitcoin fell below $76,000, down 5% in 24 hours, while Ethereum dropped more than 8%. Across the market, 210,000 traders were liquidated.
In a single day, $2.9 trillion was wiped off the market value of S&P 500 companies, $2.3 trillion off the Nasdaq, and $1 trillion off the seven tech giants. It was the worst single-day decline on record.
2. Why did this happen? It wasn’t a global flight of capital—the AI sector was singled out for a major hit.
Asian markets were hit the next day, too: South Korea opened down 8.5% and trading was halted, the Nikkei fell 6.5%, and Taiwanese stocks dropped 7.1%. But Europe was down just 0.38%. This shows it wasn’t a global flight of capital—the AI sector was being targeted.
Many people think it’s because the Democrats want to restrict AI, but that’s not it. The market has lost two “anchors” in quick succession:
◦ First anchor: Trump-related assets collapsed. On November 4, Trump’s media company, DJT, fell 24%, and tokens linked to him also dropped 16%–19%. After the Democrats took control of Congress, the $350 billion defense budget Trump had proposed was essentially dead. Investors betting on his policies lost faith, and prices plunged.
◦ Second anchor: The logic behind the AI trade broke down. The trigger was policy: the U.S. plans to pause the construction of new data centers, and Texas alone accounts for 30% of U.S. data center capacity. Goldman Sachs estimates that 45% of planned data center expansion nationwide could be stalled.
3. The deeper reason: AI has shifted from being “profit-driven” to “debt-driven”
For the past two years, AI companies have funded investment out of their own profits, so it didn’t have much impact. But starting in 2025 and 2026, AI expansion has become debt-funded: since ChatGPT launched in 2022, AI-related companies have borrowed a cumulative $1.37 trillion, including $635.1 billion in 2026 alone.
What’s worse, much of this is “off-balance-sheet debt”: tech giants don’t build data centers themselves. Instead, they have special-purpose companies borrow the money and sign long-term leases, so the debt appears on the project companies’ books. The giants’ financial statements show only a lease commitment. Those commitments now total $1.2 trillion, of which $820 billion has yet to take effect.
When debt fuels expansion, a downturn isn’t just a reason to pause—stopping could mean default.
4. Why was the drop so steep? Three layers of “mechanical selling” amplified the losses
This wasn’t a normal market correction—it was a mechanically driven drop caused by forced selling, through three mechanisms:
◦ First layer: Volatility-targeting funds reduce their positions as market volatility rises. The VIX surged 769.66% in a single day, directly triggering automatic deleveraging.
◦ Second layer: Risk-parity strategies use leverage across stocks and bonds. When correlations shift, leverage is automatically reduced, regardless of fundamentals.
◦ Third layer: Options hedging. As markets fall, market makers sell options to hedge, and gamma exposure amplifies the decline.
So some of the 5-point drop came from sentiment and mechanical trading—not all of it was due to fundamentals.
5. Where did the money go? It wasn’t rotating into other assets—it was “reducing risk exposure”
On November 5, stocks and Bitcoin fell, Treasury bonds edged up, and only gold rose for a second consecutive day. This shows that investors hadn’t found a new “story”; they were simply reducing risk.
If investors were just rotating out of AI and into value stocks, value stocks should have risen—but all 11 S&P 500 sectors fell. If they were just moving from stocks into crypto, crypto should have risen—but crypto fell even more than stocks. If they were just shifting from risk assets into Treasury bonds, Treasuries should have surged—but they rose by only 7 points.
None of those three paths worked. Money went only into gold, showing that the market wasn’t rotating—it was reducing risk exposure.
6. How this affects us: three channels of transmission
◦ First layer: The industry supply chain. AI hardware chains in mainland China and Hong Kong—such as optical modules, PCBs, servers, and liquid cooling—depend directly on capital spending by U.S. cloud providers. If those providers lower their CAPEX guidance, these sectors could be hit by a double whammy of lower valuations and weaker earnings.
◦ Second layer: Exchange rates and capital flows. A stronger U.S. dollar could put pressure on the yuan, but a narrowing U.S.–China interest-rate differential will offer some support, so the exchange rate is unlikely to move in just one direction.
◦ Third layer: Policy flexibility. If financial conditions tighten so much that the Fed has to slow rate hikes, that pressure will ease. But if rate hikes crush the economy and force rate cuts, those would be recession-driven cuts—not a positive sign.
7. What’s certain going forward, and what’s uncertain?
◦ What’s certain:
1. Fed rates won’t come down quickly, and the probability of a rate hike in December is above 70%.
2. AI-related debt totals $1.37 trillion, with maturities peaking over the next two years.
3. Data center regulation will only get stricter, not looser.
4. The premium on Trump-related assets isn’t coming back.
◦ What’s uncertain:
1. Whether the Fed will actually raise rates on December 9.
2. Whether Q4 earnings guidance for AI capital spending will be revised downward.
3. Whether credit spreads will widen to investment-grade bonds.
4. Whether a new market narrative will emerge beyond AI.
One last thing: what the market fears most isn’t bad news—it’s having no story. The old AI story has fallen apart, and the new one hasn’t arrived yet. This gap is the biggest source of uncertainty over the next few months.