Episode summary
$3 Trillion Wiped Out In Days: This Breaks Next | Jay Singh
The David Lin Report
· · 1 hr · Hosts: David Lin · Guests: Jay Singh
Summary
Jay Singh argued that the tech selloff was not just a routine correction but the start of a broader unwind in the AI trade, driven by political risk, leverage, and deteriorating financing conditions. He said the market had begun to question whether the roughly 1.2 to 1.3 trillion in expected AI capex could hold if data-center approvals slow in blue states, especially after Democrats took control of both chambers of Congress.
He linked the drop to forced selling by hedge funds and levered ETFs, saying some equity pods were getting “taps on the shoulder” from risk managers and that roughly 52 billion of forced ETF rebalancing was still coming. He also said retail investors had been heavily concentrated in 3x leveraged semiconductor products and were now finally backing away as losses mounted.
Singh’s broader concern was circular AI financing: hyperscalers, neoclouds, private credit, and Nvidia were all feeding the same loop, while rising bond yields and higher borrowing costs made that loop less stable. He said the trade could keep falling, but still saw select opportunities in cash-generating value names, preferreds, gold and silver miners, and event-driven situations rather than in expensive defensive rotations.
Key takeaways
- Jay Singh said the AI trade is being unwound by leverage, regulatory pressure, and slowing data-center approvals, not just by short-term sentiment.
- He said roughly 52 billion of forced ETF rebalancing still had to hit the market, with 20 billion tied to the 3x leveraged semiconductor ETF.
- Singh said retail investors were heavily concentrated in AI and semiconductor leverage, but are now less willing to buy the dip after major losses.
- He argued that AI circular financing between hyperscalers, neoclouds, private credit, and Nvidia is becoming harder to sustain as borrowing costs rise.
- He expects better relative value in preferreds, income names, gold and silver miners, and select event-driven trades than in expensive defensives or crowded AI stocks.
Notable quotes
“I wouldn't call this capitulation yet. Um, but there are a couple reasons for this”
“This is what's caused a massive turnaround uh in the AI trade”
“there are several companies that I think forced the capitulation of the AI trade”
“I would just raise some cash and I would wait because I do not think that the de the deleveraging is over”
How the episode opens
Tech stock suffered a brutal sell-off this week again, and the losses are truly staggering. Intel has now collapsed more than 60% from its 2026 highs. On Thursday alone, Nvidia plunged more than 9% while AMD crashed over 17%.
Google's parent company, Alphabet, is down now roughly 30% from its highs earlier this year. The Nasdaq plunged 5 a.5% on Thursday, entering correction territory, while the S&P 500 suffered its worst day since the 2025 April shock from tariffs. All of this comes as Democrats take control of both chambers of Congress, raising new concerns about a government induced slowdown in the trillion dollar AI infrastructure boom.
Investors are increasingly worried that tighter AI regulations and restrictions on AI data center development could threaten the sector's growth.
What about the frontier where companies are pushing forward? Would you limit this? — Full on pause. — Full on pause. — Okay. — And what happens then? The the instant question. What happens and if we pause and China doesn't? — See, I I just don't think that that's a I don't I don't take that as seriously as a lot of people do. Here's why. A lot of the frontier research is just spoofing our models. China's research.
China's research. And it'd be like, you know, you're pulling a a skier on a boat and you speed up the boat and you're like, "The skier is still so close. We got to speed up.
Ski is still so close. Well, it's because you're pulling the skier. And I think that's in part what's happening, right?
And they've been very very good at just mocking our uh technology. So, I think if we slow down, I think we will find that a lot of what China is doing is more about the dispersion of this technology than it is on on frontier research.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- tech stock selloff
- hedge fund liquidations
- ai boom risks
- fed policy rates
- investing opportunities during volatility
Companies and tickers mentioned
- GS
- Goldman Sachs
- Special Situations Research
Watch the episode
Watch “$3 Trillion Wiped Out In Days: This Breaks Next | Jay Singh” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
More from The David Lin Report
-
Jensen Huang RESIGNS After Second Affair: Nvidia's $855B Wipeout, What Next? -
New Global Arms Race Begins: Who Wins Trillion-Dollar Defense Boom? | Juno Industries -
Collapse Of Tech? Rosenberg &. Bianco Debate AI Bubble, Soaring Bond Yields -
Buy The Dip Or Short? Trader Reveals Key Signals | Jason Shapiro -
Nvidia Spy Scandal: $450B Crash Just The Beginning? -
Brutal 2027: How The Next Financial Crisis Starts
The David Lin Report, this episode and its artwork belong to The David Lin Report. Octagon is not affiliated with the show; this page is an independent summary.
