If your portfolio looked like a crime scene on Friday, October 30, you weren’t imagining it: the Big Tech stock sell-off was real, loud and ugly. But the number going viral online is not one I can confirm.
Here is what the market actually did, and what it is telling us about AI.
Intel sank about 30% after an outlook that missed estimates, according to Bloomberg’s market wrap. Amazon dropped about 2% on greater capital spending. The Nasdaq 100 fell roughly 3% as heavy selling hit tech and crypto. That is a rough Friday for anyone with a 401(k) full of tech names.
Big Tech stock sell-off: what we can verify
Intraday figures from Yahoo Finance at 10:11 a.m. ET told the story. Intel was down nearly 30%. Amazon was down about 1.85%, and Microsoft was down about 1.7%. Google parent Alphabet’s GOOG shares slipped about 0.9%.
Sandisk fell almost 12% even after beating earnings forecasts, amid worry that memory pricing may be nearing a peak. (Beating the forecast and still getting punished. Wall Street grades on a brutal curve.)
By midday, TheStreet had the S&P 500 down roughly 1.6%. Reddit was off about 28%. Both Reddit and Intel were casualties of big earnings reports that landed after the bell on Thursday.
Bloomberg said the S&P 500 was on track for its worst day since June. It had also broken below its 100-day moving average. That is the kind of line traders watch, and breaking it tends to bring more selling. We saw a similar pattern in the June slide.
The $1 trillion claim behind the tech stock sell-off: not so fast
Scrolled social media today? You probably saw a heat map with a giant red tile. The caption screamed about $1 trillion wiped out.
Here is the thing: I found no October 30 source that states that number. Any total depends on the time of day and on how you measure lost market value. Similar “$1T wiped out” graphics have also circulated on earlier dates. A screenshot with no date on it proves very little.
The figures we do have are intraday, not closing numbers. Until the final bell data is in, any dollar total is a guess.
I will not hand you a guess and call it a fact.
Why this Big Tech sell-off is really an AI story
So who is paying for all this AI spending? Right now, investors are asking exactly that. Amazon’s drop was tied to higher capital spending. That feeds the bigger question of whether the AI build-out will ever pay for itself.
Capital.com analyst Daniela Hathorn said Alphabet’s sharp sell-off “highlighted growing concerns about AI-related cash burn, while Microsoft’s relatively stronger results offered a more constructive picture of monetization.”
We have seen this movie before. In February, CNBC reported that six giants collectively lost more than $1 trillion in valuation in a single week on AI-spending fears, per FactSet. Those six were Amazon, Microsoft, Nvidia, Meta, Google and Oracle. That was a week. Do not confuse it with a day.
Inflation is not helping either. 24/7 Wall St. reported that a surprise jump in consumer prices put a Fed rate hike back in play. Zacks added that a hot reading on a key inflation gauge hurt sentiment on Thursday. The Fed held rates steady at its October meeting, but the market is clearly wondering how long that lasts.
What the Nasdaq sell-off means for your money
Here’s the thing: if you own an index fund, you own a lot of these companies. Thursday’s close had the S&P 500 at 7,720.39. On Friday it was trading near 7,593 midday.
The Nasdaq Composite hovered around 25,480 after closing Thursday at 26,184.72. That is a real dent, though not a crash.
Health care and real estate stocks actually rose on Thursday while tech fell. That is a reminder of why spreading your money around matters. Our guide to what an AI sell-off means for your 401(k) covers the basics.
Watch Monday, November 2, the next trading session. If the Big Tech stock sell-off continues, the AI payoff question stops being a talking point. Instead, it becomes the story of the quarter. If it bounces, today may go down as another scare.
Either way, nobody should be quoting a trillion-dollar number until the closing data says so.
