Tech stocks wipe out more than $1 trillion amid AI boom fears
Category: News & Politics
Via: perrie-halpern • one week ago • 4 commentsBy: Steve Kopack
Oct. 30, 2026, 9:03 AM EDT / Updated Oct. 30, 2026, 4:32 PM EDTBy Steve Kopack
Tech stocks plunged Friday, erasing more than $1 trillion in value. The Nasdaq 100 index fell 3.4% in afternoon trading, its worst one-day drop since mid-June.
The sell-off pushed the Nasdaq 100 close to what is known as "correction territory," which is a decline of 10% or more from an index's last record high.
The broader S&P 500 also sharply dropped 1.8%. The S&P's tech sector was by far the worst performing of the day, tumbling by more than 4.2%.
As trillion-dollar tech companies spend hundreds of billions of dollars to build out artificial intelligence data centers, investors are looking for clearer signs that all that spending is actually delivering returns.
These questions underpinned one of the day's worst-performing stocks, Intel, which plunged 29% in its worst-ever single-day drop, according to data dating back to the 1980s.
Several of Intel's large peers followed it lower. SanDisk plunged 13%; chipmakers AMD, ARM Holdings, Qualcomm and Marvell all fell around 10%.
The seeds of Friday's massive losses were sown Thursday, however, when Amazon and Intel reported quarterly earnings that failed to reassure investors and analysts.
Shares of Amazon declined by as much as 10% in post-market trading Thursday, before recovering throughout the day Friday. The company's shares ended Friday down just 1.4%.
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The Philadelphia semiconductor index, of which Intel is a member, sank 7.2% on Friday. The "DRAM" ETF, which tracks companies linked to computer memory and storage, tumbled 7%.
So-called "neocloud" stocks also sold off. These upstart firms aim to build data centers for software firms to utilize. Nebius and CoreWeave dropped more than 10%.
The broader Nasdaq Composite, which tracks the more than 3,000 companies that trade on the exchange, fell 2.8%.
Amazon's spending spree
On Thursday, Amazon reported that its spending to build out AI had continued at a faster clip than expected last quarter, while growth in its core online shopping business had slowed.
The last time Amazon told investors it was upping its AI spending budget, the market rewarded the decision by sending shares up more than 15%.
But a lot has changed in the past three months. Some of the big companies that pay to use AI models have tightened their token budgets. Others have raised questions about exactly how much benefit they're getting from all the time and resources they're putting into AI adoption.
In response, some investors are now looking at Big Tech's massive AI spending through a more skeptical lens.
Nonetheless, Amazon CEO Andy Jassy told shareholders Thursday to brace for even more spending.
"We still expect 2026 cash [capital expenditures] of approximately $220 billion, the majority for AWS, and expect to spend meaningfully more in 2027," he said on the company's earnings call. Amazon's spending had already been set to double from 2025.
Friday's losses follow significant selling in shares of Alphabet on Thursday.
The Google parent company shed about $500 billion in market value — its worst day ever and the second-worst wipeout of value in market history. On Friday, the stock dropped another 1.4%.
Intel's supply chain woes
Intel, meanwhile, told investors that its profits and sales in the fourth quarter would be lower than expected, which sent the stock tanking.
Intel's stock has surged in recent months as its management implements a sweeping overhaul of the long-ailing chip firm.
In the midst of that turnaround, the U.S. government took a stake in the company, making the federal government the company's largest shareholder.
Even accounting for Friday's expected drop, the value of the government's stake in Intel has grown by 280%.
Analysts at Citigroup described the report as "two steps forward, one step back."
A major issue highlighted by Intel CEO Lip-Bu Tan that contributed to the company's lackluster performance in the quarter was supply chain issues.
"I'm disappointed that we were not able to meet strong customer demand in this quarter," Tan told investors on the company's earnings call. "We face near-term challenges, including manufacturing, supply shortage, the unprecedented memory crunch and the resulting softness in PC demand."
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Meanwhile, the sell-off in tech shares appeared to increase demand for U.S. Treasuries, which briefly sent yields on government bonds lower.
The big AI companies that are borrowing hundreds of billions for data center build-outs have tapped the debt markets for funds, which has in turn created more competition for capital.
As those companies increasingly offer better rates of return for lenders than the U.S. government does on bonds, Treasury yields have risen in recent months — partly to keep up with the private market.
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An opportunity to buy some great stocks at low prices!
(But I'm waiting a bit-- IMHO there may be more downside short term)
AI is becoming more and more ridiculous as we witness here with every arguement.
I just saw a Caris ad on tv that makes sense for DNA and blood testing at super speed.
It has Limited applications
Don't quit you job just yet
Ignore Elon Musk and his predictions.
With proper planning, AI can be managed and the Data Centers can be accomodated. Leaving all of this tech to the whims of the market seems like not such a good idea. The problem as I see it is getting the power to the proper places: It is a matter of generation and transmission capabilities.
One thought that springs to mind is the idea of distributed compute. Forgive me cause IDK: is the concentration of these massive data centers necessary due to some characteristic of what they are being used for, or is it because the financiers say that this will be the least expensive way to go?
To my mind, spreading things out would be beneficial. The power, if generated locally, would not need the massive increases in distribution lines to carry the massive amounts of current.
As I said,. I do not know if this is feasible because I am not familiar enough with the technology or the topology.
it's in direct proportion to the amount of money that's been stuffed in the pockets of corrupt politicians that have the authority to saddle their communities with the cost of providing power, water, and tax incentives the taxpayers will have to cover for as long as they hear the incessant 24/7 electronic hum and smell the exhaust of diesel generators during more frequent periods of brown outs during high use in their areas.