Is It an AI Bubble? Funding Fears, a Hedge Fund Squeeze and $117 Oil

Ken Griffin opened the week by telling a Citadel conference that investors are “almost certainly” in an AI bubble. By Friday, the market had spent five sessions testing that idea from every side: Meta disclosed it may need to raise hundreds of billions of dollars, chip stocks gave up their rebound, hedge funds had their worst stretch in years, and Brent crude closed at its highest level since April.

The weekly index changes were small. The S&P 500 closed the week −0.47%, the Nasdaq Composite −0.71% and the Nasdaq 100 −0.79%, while the Dow finished at +0.41% and the Russell 2000 at +2.00%. Underneath, the Philadelphia Semiconductor Index finished −3.21% for the week and −17.9% over three weeks, and 329 of the 503 S&P 500 members rose. This recap takes the AI bubble question apart with the data: where returns came from, who is getting paid for the spending, where the memory cycle stands, what the hedge fund losses looked like, and whether Korea’s crash says anything about what comes next.

Weekly Index Performance

Weekly Change · 2026-10-16 → 2026-10-23
S&P 500 Map — Weekly · 2026-10-16 → 2026-10-23
Advancers 329 · Decliners 173
Hover or tap a tile for details
S&P 500 Sectors — Weekly · 2026-10-16 → 2026-10-23
S&P 500 -0.43%
SPDR sector ETFs · % change, closing prices

Weekly Cross-Asset Snapshot

Weekly Change · 2026-10-16 → 2026-10-23
Futures: settlement vs. prior settlement · Yields 3pm ET · DXY & Bitcoin 4pm ET · VIX official close

The Week in Five-Minute Bars

Five sessions of futures and Treasury prices show how the week turned. The chart below runs from Sunday evening to Friday’s close and marks the news that moved prices.

Journey in Garret / The week in five-minute bars

Nasdaq futures, S&P futures, oil and the 10-year yield, Oct 19-23

Change from the Oct 16 close (left axis) and 10-year Treasury yield (right axis), Eastern time

Nasdaq 100 futuresS&P 500 futuresWTI crude (Dec)10-year yield (est.)
Hover, tap, or use ← → to inspect each observation.

Five-minute bars from Sunday evening to Friday 5 p.m. ET. Futures are front-month continuous contracts. The 10-year yield is estimated from 10-year note futures using their fit to the Cboe 10-year yield index during U.S. hours (about 15.6 basis points per point of futures price), so overnight moves are shown too.

View the data table
Time (ET)Nasdaq 100 futuresS&P 500 futuresWTI crude (Dec)10-year yield (est.)
Fri 16:55 ET−0.89%−0.39%+4.43%4.988%
Fri 16:50 ET−0.72%−0.39%+4.24%4.993%
Fri 16:20 ET−0.70%−0.44%+4.20%4.998%
Fri 15:50 ET−0.88%−0.54%+4.64%5.000%
Fri 15:20 ET−0.81%−0.46%+4.51%4.993%
Fri 14:50 ET−0.76%−0.46%+4.40%4.988%
Fri 14:20 ET−0.71%−0.44%+4.30%4.988%
Fri 13:50 ET−0.71%−0.45%+4.01%4.983%
Fri 13:20 ET−0.78%−0.52%+3.97%4.993%
Fri 12:50 ET−0.59%−0.34%+3.82%4.991%
Fri 12:20 ET−0.56%−0.31%+4.09%4.986%
Fri 11:50 ET−0.36%−0.17%+3.94%4.995%
Fri 11:20 ET−0.44%−0.16%+3.00%4.993%
Fri 10:50 ET−0.30%−0.18%+3.31%4.993%
Fri 10:20 ET−0.87%−0.63%+3.23%4.988%
Fri 09:50 ET−0.88%−0.48%+3.34%4.983%
Fri 09:20 ET−1.09%−0.44%+2.49%4.969%
Fri 08:50 ET−1.20%−0.52%+2.25%4.964%
Fri 08:20 ET−0.97%−0.32%+2.32%4.988%
Fri 07:50 ET−0.81%−0.18%+1.67%4.995%
Fri 07:20 ET−0.93%−0.23%+1.94%5.003%
Fri 06:50 ET−0.95%−0.29%+2.10%4.988%
Fri 06:20 ET−0.82%−0.20%+2.00%4.978%
Fri 05:50 ET−0.88%−0.22%+2.06%4.974%
Fri 05:20 ET−0.74%−0.13%+2.00%4.971%
Fri 04:50 ET−0.51%+0.01%+1.20%4.978%
Fri 04:20 ET−0.38%+0.09%+1.46%4.986%
Fri 03:50 ET−0.65%−0.06%+1.75%4.974%
Fri 03:20 ET−0.62%−0.04%+1.70%4.969%
Fri 02:50 ET−0.61%+0.02%+1.71%4.981%
Fri 02:20 ET−0.52%+0.01%+1.75%4.974%
Fri 01:50 ET−0.78%−0.09%+1.60%4.966%
Fri 01:20 ET−0.84%−0.10%+1.35%4.959%
Fri 00:50 ET−0.84%−0.11%+1.26%4.966%
Fri 00:20 ET−0.78%−0.07%+1.02%4.961%
Thu 23:50 ET−0.70%−0.01%+0.99%4.961%
Thu 23:20 ET−0.78%−0.04%+1.14%4.966%
Thu 22:50 ET−0.63%+0.02%+0.91%4.964%
Thu 22:20 ET−0.77%−0.08%+1.33%4.961%
Thu 21:50 ET−0.81%−0.11%+1.30%4.969%
Thu 21:20 ET−0.84%−0.08%+0.88%4.964%
Thu 20:50 ET−0.70%+0.08%+0.09%4.961%
Thu 20:20 ET−1.03%−0.04%+0.20%4.947%
Thu 19:50 ET−1.00%+0.05%+0.28%4.961%
Thu 19:20 ET−0.99%+0.05%+0.28%4.961%
Thu 18:45 ET−0.90%+0.07%−0.07%4.954%
Thu 18:15 ET−0.87%+0.08%−0.02%4.959%
Thu 16:45 ET−1.01%0.00%+0.07%4.961%
Thu 16:15 ET−0.79%+0.06%+0.18%4.971%
Thu 15:45 ET−1.05%−0.20%+0.23%4.964%
Thu 15:15 ET−0.92%−0.15%+0.41%4.952%
Thu 14:45 ET−0.95%−0.22%+0.33%4.952%
Thu 14:15 ET−0.63%−0.04%+0.20%4.954%
Thu 13:45 ET−0.65%−0.10%+0.84%4.959%
Thu 13:15 ET−0.58%−0.10%+0.25%4.964%
Thu 12:45 ET−0.72%−0.16%−0.09%4.969%
Thu 12:15 ET−0.05%+0.22%−0.31%4.995%
Thu 11:45 ET−0.36%−0.05%−0.68%4.998%
Thu 11:15 ET−0.28%+0.01%−0.80%5.010%
Thu 10:45 ET−0.33%−0.15%−0.76%5.012%
Thu 10:15 ET+0.26%+0.24%−0.18%5.029%
Thu 09:45 ET+0.41%+0.33%−0.10%5.034%
Thu 09:15 ET+0.32%+0.27%+0.69%5.039%
Thu 08:45 ET+0.53%+0.34%+0.33%5.042%
Thu 08:15 ET+0.50%+0.31%+0.35%5.044%
Thu 07:45 ET+0.40%+0.26%+0.48%5.049%
Thu 07:15 ET+0.37%+0.21%+0.11%5.039%
Thu 06:45 ET+0.51%+0.30%+0.15%5.068%
Thu 06:15 ET+0.29%+0.21%+0.47%5.076%
Thu 05:45 ET+0.23%+0.15%+0.69%5.071%
Thu 05:15 ET+0.26%+0.20%+0.18%5.076%
Thu 04:45 ET+0.39%+0.28%+0.79%5.088%
Thu 04:15 ET+0.27%+0.21%+0.80%5.085%
Thu 03:45 ET+0.32%+0.21%+0.83%5.090%
Thu 03:15 ET+0.42%+0.29%+0.51%5.083%
Thu 02:45 ET+0.50%+0.38%+0.22%5.083%
Thu 02:15 ET+0.53%+0.45%+0.25%5.098%
Thu 01:45 ET+0.47%+0.40%+0.01%5.095%
Thu 01:15 ET+0.73%+0.54%−0.06%5.098%
Thu 00:45 ET+0.75%+0.55%−0.38%5.095%
Thu 00:15 ET+0.79%+0.59%−0.44%5.093%
Wed 23:45 ET+0.87%+0.64%−0.73%5.093%
Wed 23:15 ET+0.95%+0.69%−0.66%5.090%
Wed 22:45 ET+1.05%+0.75%−0.82%5.098%
Wed 22:15 ET+1.07%+0.72%−0.83%5.100%
Wed 21:45 ET+1.27%+0.82%−0.88%5.112%
Wed 21:15 ET+1.34%+0.81%−0.99%5.117%
Wed 20:45 ET+1.49%+0.86%−1.01%5.119%
Wed 20:15 ET+1.48%+0.87%−1.00%5.122%
Wed 19:45 ET+1.36%+0.75%−1.09%5.110%
Wed 19:15 ET+1.47%+0.85%−1.10%5.119%
Wed 18:40 ET+1.57%+0.93%−1.08%5.122%
Wed 18:10 ET+1.78%+1.04%−1.28%5.119%
Wed 16:40 ET+2.19%+1.30%−1.54%5.127%
Wed 16:10 ET+1.99%+1.26%−1.26%5.129%
Wed 15:40 ET+2.19%+1.24%−1.48%5.132%
Wed 15:10 ET+1.94%+1.04%−0.97%5.149%
Wed 14:40 ET+2.35%+1.38%−1.91%5.117%
Wed 14:10 ET+2.32%+1.36%−1.94%5.117%
Wed 13:40 ET+2.34%+1.35%−1.98%5.112%
Wed 13:10 ET+2.41%+1.34%−2.33%5.115%
Wed 12:40 ET+2.33%+1.24%−2.36%5.110%
Wed 12:10 ET+2.19%+1.17%−1.76%5.117%
Wed 11:40 ET+2.22%+1.17%−1.81%5.117%
Wed 11:10 ET+2.03%+1.03%−1.21%5.122%
Wed 10:40 ET+1.72%+0.86%−1.25%5.107%
Wed 10:10 ET+1.45%+0.68%−1.46%5.100%
Wed 09:40 ET+1.50%+0.86%−1.87%5.083%
Wed 09:10 ET+1.61%+0.99%−1.66%5.100%
Wed 08:40 ET+1.57%+0.95%−1.12%5.100%
Wed 08:10 ET+1.59%+0.91%−0.67%5.098%
Wed 07:40 ET+1.66%+0.93%−0.42%5.107%
Wed 07:10 ET+1.57%+0.91%+0.23%5.119%
Wed 06:40 ET+1.52%+0.88%+0.77%5.122%
Wed 06:10 ET+1.24%+0.75%+1.23%5.137%
Wed 05:40 ET+1.52%+0.92%+0.22%5.117%
Wed 05:10 ET+1.39%+0.80%−0.08%5.117%
Wed 04:40 ET+1.46%+0.80%−0.10%5.122%
Wed 04:10 ET+1.72%+0.92%−0.68%5.117%
Wed 03:40 ET+1.74%+0.91%−0.44%5.115%
Wed 03:10 ET+1.64%+0.88%−0.19%5.127%
Wed 02:40 ET+1.55%+0.90%+0.24%5.124%
Wed 02:10 ET+1.58%+0.91%+0.19%5.129%
Wed 01:40 ET+1.60%+0.94%+0.15%5.129%
Wed 01:10 ET+1.66%+0.97%−0.11%5.119%
Wed 00:40 ET+1.76%+0.98%−0.09%5.122%
Wed 00:10 ET+1.78%+0.99%+0.11%5.117%
Tue 23:40 ET+1.93%+1.03%+0.13%5.122%
Tue 23:10 ET+2.05%+1.06%+0.23%5.124%
Tue 22:40 ET+2.06%+1.02%+0.06%5.127%
Tue 22:10 ET+2.01%+0.99%+0.12%5.129%
Tue 21:40 ET+1.99%+1.00%−0.13%5.127%
Tue 21:10 ET+1.67%+0.90%−0.21%5.127%
Tue 20:40 ET+2.10%+1.05%−0.58%5.129%
Tue 20:10 ET+1.90%+0.96%−0.60%5.129%
Tue 19:40 ET+1.71%+0.92%−0.66%5.127%
Tue 19:10 ET+1.77%+0.95%−0.83%5.129%
Tue 18:40 ET+1.82%+0.97%−0.87%5.132%
Tue 18:10 ET+1.93%+1.06%−0.92%5.127%
Tue 16:40 ET+1.31%+0.89%−0.82%5.112%
Tue 16:10 ET+1.22%+0.81%−1.02%5.115%
Tue 15:40 ET+1.06%+0.64%−0.84%5.117%
Tue 15:10 ET+1.10%+0.66%−0.94%5.119%
Tue 14:40 ET+1.00%+0.60%−1.10%5.119%
Tue 14:10 ET+1.33%+0.81%−1.52%5.124%
Tue 13:40 ET+1.27%+0.80%−1.13%5.119%
Tue 13:10 ET+1.16%+0.68%−0.95%5.132%
Tue 12:40 ET+1.28%+0.76%−1.10%5.127%
Tue 12:10 ET+1.26%+0.75%−1.18%5.127%
Tue 11:40 ET+1.28%+0.79%−1.60%5.107%
Tue 11:10 ET+1.24%+0.70%−1.93%5.105%
Tue 10:40 ET+1.61%+1.05%−3.41%5.083%
Tue 10:10 ET+1.21%+0.74%−1.29%5.102%
Tue 09:40 ET+0.09%+0.13%−0.25%5.095%
Tue 09:10 ET+0.78%+0.29%+0.80%5.115%
Tue 08:40 ET+0.75%+0.27%+0.26%5.098%
Tue 08:10 ET+0.42%+0.14%+1.56%5.110%
Tue 07:40 ET+0.59%+0.27%+2.02%5.127%
Tue 07:10 ET+0.62%+0.27%+1.47%5.122%
Tue 06:40 ET+0.69%+0.30%+1.67%5.124%
Tue 06:10 ET+0.85%+0.40%+1.64%5.122%
Tue 05:40 ET+0.71%+0.33%+1.74%5.124%
Tue 05:10 ET+0.54%+0.25%+1.48%5.110%
Tue 04:40 ET+1.00%+0.50%+0.85%5.115%
Tue 04:10 ET+0.84%+0.43%+0.33%5.115%
Tue 03:40 ET+0.83%+0.42%+0.26%5.119%
Tue 03:10 ET+1.00%+0.52%+0.13%5.119%
Tue 02:40 ET+1.12%+0.57%−0.82%5.112%
Tue 02:10 ET+0.73%+0.38%+0.35%5.122%
Tue 01:40 ET+0.86%+0.40%−0.23%5.112%
Tue 01:10 ET+0.88%+0.42%−0.18%5.115%
Tue 00:40 ET+0.97%+0.47%−0.39%5.117%
Tue 00:10 ET+1.07%+0.53%−0.48%5.122%
Mon 23:40 ET+1.26%+0.59%−0.42%5.124%
Mon 23:10 ET+1.32%+0.62%−0.13%5.132%
Mon 22:40 ET+1.20%+0.57%−0.40%5.124%
Mon 22:10 ET+1.11%+0.55%−0.51%5.124%
Mon 21:40 ET+1.04%+0.53%−0.27%5.124%
Mon 21:10 ET+0.72%+0.31%−0.23%5.124%
Mon 20:40 ET+0.97%+0.45%−0.61%5.132%
Mon 20:10 ET+1.04%+0.45%−0.87%5.139%
Mon 19:40 ET+1.31%+0.54%−0.82%5.141%
Mon 19:10 ET+1.36%+0.54%−0.79%5.141%
Mon 18:40 ET+1.31%+0.53%−0.79%5.134%
Mon 18:10 ET+1.30%+0.53%−0.79%5.137%
Mon 16:40 ET+1.23%+0.47%−0.60%5.141%
Mon 16:10 ET+1.23%+0.45%−0.59%5.134%
Mon 15:40 ET+1.48%+0.60%−0.60%5.141%
Mon 15:10 ET+1.34%+0.56%−0.69%5.134%
Mon 14:40 ET+1.30%+0.54%−0.59%5.124%
Mon 14:10 ET+1.31%+0.56%+0.01%5.134%
Mon 13:40 ET+1.32%+0.51%+0.10%5.139%
Mon 13:10 ET+1.40%+0.53%+0.19%5.146%
Mon 12:40 ET+1.62%+0.62%−0.52%5.144%
Mon 12:10 ET+1.75%+0.68%−0.42%5.144%
Mon 11:40 ET+1.99%+0.85%−1.05%5.134%
Mon 11:10 ET+1.68%+0.68%−1.54%5.124%
Mon 10:40 ET+1.46%+0.52%−1.21%5.122%
Mon 10:10 ET+1.46%+0.65%−1.40%5.105%
Mon 09:40 ET+1.28%+0.46%−1.27%5.102%
Mon 09:10 ET+1.35%+0.51%−1.54%5.098%
Mon 08:40 ET+1.27%+0.46%−1.03%5.100%
Mon 08:10 ET+1.31%+0.53%−1.25%5.090%
Mon 07:40 ET+1.10%+0.42%−0.89%5.073%
Mon 07:10 ET+1.08%+0.50%−0.71%5.078%
Mon 06:40 ET+1.22%+0.58%−0.98%5.076%
Mon 06:10 ET+1.16%+0.54%−0.64%5.078%
Mon 05:40 ET+1.11%+0.53%−0.69%5.083%
Mon 05:10 ET+1.07%+0.49%−1.10%5.081%
Mon 04:40 ET+1.13%+0.56%−1.78%5.078%
Mon 04:10 ET+1.12%+0.57%−2.22%5.071%
Mon 03:40 ET+1.29%+0.65%−2.18%5.071%
Mon 03:10 ET+1.24%+0.66%−2.09%5.064%
Mon 02:40 ET+1.36%+0.72%−2.13%5.066%
Mon 02:10 ET+1.35%+0.73%−1.79%5.071%
Mon 01:40 ET+1.34%+0.80%−1.73%5.064%
Mon 01:10 ET+1.35%+0.81%−1.65%5.064%
Mon 00:40 ET+1.34%+0.78%−1.60%5.059%
Mon 00:10 ET+1.35%+0.83%−1.62%5.061%
Sun 23:40 ET+1.35%+0.82%−1.66%5.061%
Sun 23:10 ET+1.26%+0.79%−1.57%5.056%
Sun 22:40 ET+1.22%+0.71%−1.48%5.059%
Sun 22:10 ET+1.15%+0.69%−1.59%5.056%
Sun 21:40 ET+1.05%+0.57%−1.46%5.064%
Sun 21:10 ET+1.04%+0.52%−1.08%5.064%
Sun 20:40 ET+0.91%+0.51%−1.49%5.064%
Sun 20:10 ET+0.94%+0.55%−1.45%5.064%
Sun 19:40 ET+0.87%+0.45%−1.21%5.059%
Sun 19:10 ET+0.73%+0.38%−0.93%5.056%
Sun 18:40 ET+0.67%+0.31%−0.82%5.054%
Sun 18:10 ET+0.48%+0.25%−0.80%5.056%
Sources: Yahoo Finance price data (own calculation) · Rigzone on the Oct 20 Iran report · Reuters (Iran cable report, 12:55 p.m. ET). Embedded data, prepared Oct 24, 2026; not a live feed.

The first half of the week belonged to the rebound. By Wednesday afternoon, Nasdaq 100 futures stood about 2% above the previous Friday's close, led by the memory makers and chip designers that had been sold the week before. Tuesday's sharpest move came in oil: WTI dropped more than 2% in about 15 minutes around 10:20 a.m. ET on an unconfirmed report of a proposal to revive U.S.-Iran talks, then recovered as other outlets disputed it, as covered in Tuesday's recap. SpaceX's first profitable quarter as a public company, released that evening, carried AI hardware stocks higher on Wednesday.

The turn came Wednesday night. Meta's results looked fine, but the information statement filed alongside them said management had shown the board forecasts requiring "hundreds of billions of dollars" of outside funding, and Nasdaq 100 futures slid through the Asian session. By Thursday's open they were about 1.6% below Wednesday's close. The 10-year yield fell with them, first on the Meta news overnight, then during European trading while French bonds sold off, and most of all during U.S. hours as the selling spread through chip stocks. It finished the day 19 basis points lower, its largest one-day drop in three and a half years.

Friday added a geopolitical leg. At 12:55 p.m. ET, a Reuters report that Iran has plans to cut undersea cables in the Gulf if the U.S. and Israel attack again pushed futures to the day's lows, and WTI kept climbing into the close. Brent settled at $116.72, a +6.2% week and its third straight weekly gain.

Griffin vs. Blackstone: The AI Bubble Debate

Griffin's argument was not that AI is a fad. Speaking at Citadel's Future of Global Markets conference on Tuesday, he said radical economic transformations usually come with a bubble, and that the companies on the other side of it become market leaders for decades, 24/7 Wall St. reported. He compared today to the telecom boom of 2000, when companies laid far more fiber-optic cable than the market needed and the price of bandwidth collapsed, and likened GPUs to airline seats: once built, an empty one earns nothing, so prices can fall fast when supply runs ahead of demand, according to Decrypt.

Blackstone, which owns data center operators QTS and AirTrunk, sees the opposite problem. On the firm's earnings call on Thursday, Chief Executive Stephen Schwarzman said demand for computing is accelerating and supply is scarce. "Seldom in my career have I seen such a supply-constrained market of this scale," he said. President Jon Gray told CNBC he does not see a bubble and that, unlike the dot-com era, today's build-out is backed by real demand from people and businesses, according to a summary of the interview. Blackstone's stock ended the week at +10.7%.

Both can be right, because they are talking about different things. Schwarzman is describing today's shortage of power, buildings and chips. Griffin is describing what happens after the shortage, when the capacity being financed now comes online. The fiber comparison holds up on that point. Telecom companies in 1999 also faced real demand; the problem was that everyone built for the same demand at the same time.

Griffin went further in a longer interview with Bloomberg released the same week.

He described the recent selloff in chip and AI stocks as the market moving from buying everything in the AI supply chain to separating winners from losers. He named two risks for GPUs in particular. The first is the dark-fiber problem: a chip that is already built costs little to run, so if supply ever exceeds demand, rental prices can collapse. The second is useful life. GPUs that are five or six years old still earn good returns today, but whether chips seven to nine years old will is an open question, and that assumption sits underneath the depreciation schedules of every company in this build-out. He also said corporate customers have started separating the tasks that need the most expensive models from those that cheaper open-source models can handle, so the AI labs will keep their pricing power only if their models become indispensable. The thread running through the interview is that a technology's bright future and the share prices of the companies paying for it are separate questions.

The first signs of Griffin's price problem are already visible in one corner of the market. The cost of processing a million AI tokens fell to 94 cents as of Wednesday from more than $2 in May, according to Silicon Data's LLM Token Expenditure Index, the Journal reported, a sign that cheaper models are pushing prices down. What is not visible is a valuation bubble in the usual sense, as the next section shows.

Where Sector Returns Came From: Earnings vs. Valuation

A bubble normally means prices rising faster than earnings. This year the opposite happened in technology. Splitting each sector's price change into the change in forward 12-month earnings estimates and the change in the price-to-earnings multiple, using FactSet's published sector P/E ratios, shows tech earnings estimates at +69.6% since early January and the sector's multiple at −25.5%. The Technology Select Sector SPDR (XLK) returned +26.4% over that period, far less than the change in its earnings estimates.

Journey in Garret / Earnings vs. valuation

Where this year's sector returns came from

Price change since Jan 8 split into forward earnings growth and the change in the P/E multiple

Price changeForward EPS changeP/E change
Hover, tap, or use ← → to inspect each observation.

Price change uses the sector SPDR ETFs (SPY for the S&P 500) to Oct 22, the price date of FactSet's Oct 23 report. Forward EPS change is implied: (1 + price change) ÷ (1 + P/E change) − 1. The three bars are linked by multiplication, so they don't add up exactly.

View the data table
SectorPrice changeForward EPS changeP/E change
Comm. Services−8.6%+18.2%−22.7%
Consumer Disc.−6.4%+17.3%−20.2%
Financials+1.3%+14.4%−11.4%
Utilities+2.1%+7.0%−4.6%
Industrials+4.1%+14.3%−8.9%
Real Estate+5.1%+4.5%+0.6%
Materials+8.8%+23.9%−12.2%
S&P 500+10.8%+31.5%−15.8%
Health Care+14.7%+8.3%+5.9%
Consumer Staples+14.7%+2.9%+11.5%
Info. Technology+26.4%+69.6%−25.5%
Energy+45.2%+85.4%−21.7%
Sources: FactSet Earnings Insight (forward 12-month P/E, Jan 9, Jul 2 and Oct 23, 2026) · Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

Energy followed the same pattern on a different driver: forward earnings +85.4% on higher oil prices, a multiple −21.7%, and a price change of +45.2%. Consumer staples and health care are the exceptions. Staples returned +14.7% with earnings estimates up only about 3%, so nearly all of the move came from a higher multiple. Health care's +14.7% was split roughly evenly between higher estimates and a higher multiple.

Since the end of June the split is sharper. Tech's forward earnings estimates moved another +14.8% and its P/E −14.4%, leaving the sector ETF at −1.8%. Staples again owed almost its entire gain to a higher multiple.

Journey in Garret / Earnings vs. valuation

Since the end of June

Price change since Jul 1 split into forward earnings growth and the change in the P/E multiple

Price changeForward EPS changeP/E change
Hover, tap, or use ← → to inspect each observation.

Price change uses the sector SPDR ETFs (SPY for the S&P 500) to Oct 22, the price date of FactSet's Oct 23 report. Forward EPS change is implied: (1 + price change) ÷ (1 + P/E change) − 1. The three bars are linked by multiplication, so they don't add up exactly.

View the data table
SectorPrice changeForward EPS changeP/E change
Industrials−9.1%+5.5%−13.8%
Utilities−4.2%+2.1%−6.2%
Real Estate−3.8%+1.2%−4.9%
Consumer Disc.−2.6%+7.3%−9.2%
Comm. Services−2.1%+10.8%−11.7%
Info. Technology−1.8%+14.8%−14.4%
Materials+1.3%+2.5%−1.1%
S&P 500+2.4%+11.8%−8.3%
Financials+3.4%+6.9%−3.3%
Consumer Staples+8.0%+0.1%+7.9%
Health Care+13.6%+6.1%+7.1%
Energy+27.9%+22.0%+4.8%
Sources: FactSet Earnings Insight (forward 12-month P/E, Jan 9, Jul 2 and Oct 23, 2026) · Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

Compared with their own history, the sectors line up in a way that cuts against the bubble story. Technology trades at 19.6 times forward earnings, 23% below its five-year average and 15% below its 10-year average, according to FactSet. The S&P 500 as a whole is at 18.7 times, below both its five-year average of 19.8 and its 10-year average of 19.1. The expensive sectors are the defensive ones: health care at 19.7 times is 13% above its five-year average, and consumer staples at 23.3 times is 12% above.

Journey in Garret / Earnings vs. valuation

Today's sector valuations against their own history

Forward 12-month P/E, percent above or below the 5-year and 10-year averages

vs. 10-year averagevs. 5-year average
Hover, tap, or use ↑ ↓ to inspect each row.

Forward P/E as of Oct 22 close; 5- and 10-year averages as published by FactSet.

View the data table
Sectorvs. 10-year averagevs. 5-year average
Energy+19.3%+3.2%
Health Care+18.7%+13.2%
Consumer Staples+15.9%+11.5%
Industrials+12.0%+6.7%
Financials+6.5%+1.4%
Comm. Services−1.1%−4.9%
S&P 500−2.1%−5.6%
Materials−2.8%−3.4%
Real Estate−7.0%−3.9%
Consumer Disc.−7.1%−8.8%
Utilities−7.2%−7.2%
Info. Technology−15.2%−23.1%
Sources: FactSet Earnings Insight (forward 12-month P/E, Jan 9, Jul 2 and Oct 23, 2026). Embedded data, prepared Oct 24, 2026; not a live feed.

The market is not paying bubble prices for AI earnings. It is refusing to believe they will last. A P/E that falls while estimates rise is how investors price a cyclical peak: memory prices, data center orders and AI capital budgets are all at records, and the market is applying a discount to earnings it thinks will shrink once the spending slows. That is a different risk from 2000. Then, the danger was that earnings would never arrive. Now, the danger is that the earnings are real but borrowed from the future.

The table also explains Friday's market. Money leaving tech over the past three weeks went into the sectors that were already the most expensive relative to history, and those sectors are the most exposed to an oil shock through fuel, freight and consumer spending. When Brent jumped on Friday, staples were the worst-performing sector.

Tech Stocks' Three-Week Slide

For anyone trading Nasdaq futures, the index has understated the damage. Since Oct 2, the Nasdaq 100 is −6.0% and the S&P 500 −1.3%, while the VanEck Semiconductor ETF (SMH) is −16.4% and the equal-weight S&P 500 is +3.3%. Energy is +10.4%.

Journey in Garret / Three weeks of rotation

Three weeks after the rotation began

Price change, Oct 2 to Oct 23 close (this week in grey)

Oct 2 → Oct 23This week
Hover, tap, or use ↑ ↓ to inspect each row.

Closing prices, price only.

View the data table
Fund / indexOct 2 → Oct 23This week
Semiconductors (SMH)−16.4%−2.3%
Technology (XLK)−8.3%−0.1%
Nasdaq 100 (QQQ)−6.0%−0.8%
Large growth (IWF)−5.9%−1.5%
Communication (XLC)−4.4%−4.4%
Industrials (XLI)−3.1%−1.9%
S&P 500 (SPY)−1.3%−0.4%
Russell 2000−2.0%+2.0%
Dow industrials+2.0%+0.4%
Large value (IWD)+3.2%+0.7%
Equal weight (RSP)+3.2%+1.1%
Health care (XLV)+7.9%+1.4%
Staples (XLP)+9.6%+0.7%
Energy (XLE)+10.4%+1.6%
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

Inside tech, the spread is wider still. Over the same three weeks, Lam Research is −33.8%, Teradyne −31.2%, Applied Materials −30.2% and KLA −29.6%, while Nvidia is −9.8% and Broadcom −9.4%. Among the AI infrastructure names, IREN is −40.4%, CoreWeave −39.5%, Nebius −34.6% and Bloom Energy −33.2%. Apple +4.2% and Microsoft +1.4% are higher, and those two stocks alone make up about an eighth of the S&P 500's value.

Three weeks by theme · Oct 2 → Oct 23
S&P 500 (SPY) −1.26%
Chips and equipment
Megacaps
AI infrastructure
Software and security
Defensives
Energy and defense
Telecom
% change, Oct 2 close → Oct 23 close · closing prices · same scale in every panel

The pattern is consistent with the earnings-versus-valuation split. The selling has been heaviest in companies whose profits depend on other companies' capital budgets: chip equipment, memory, servers, power gear and the debt-funded neoclouds. The companies that pay for the spending out of large existing cash flows, like Apple and Microsoft, have held up. Software, which sells to the same customers but needs little capital, has risen: ServiceNow is +18.3% over three weeks and Adobe +11.0%. For index traders, a Nasdaq 100 down 6% with its chip and infrastructure components down 20% to 40% means the index has been held up by a handful of megacaps. If those megacaps disappoint next week, there is little left underneath to cushion the index.

The Hedge Fund Squeeze, Measured

Thursday showed what crowding looks like from the inside. The S&P 500 closed −1.21% and the Nasdaq 100 −2.90%, yet 336 of the index's 503 members rose. For hedge funds, that was the worst possible split: their largest long positions were in the AI stocks that fell, and many of their short positions were in the stocks that rose.

Goldman Sachs' prime brokerage data put a number on it. All three of the main hedge fund strategies it tracks, fundamental long-short, systematic and multi-strategy, lost more than 1% on Thursday, the first such day since the pandemic, Reuters reported. "If last Thursday felt bad, today has been worse," the prime brokerage team wrote. Goldman's pair of its hedge fund VIP basket against the most-shorted stocks lost about 4.2% in one session, its worst day since August 2011, bringing its October loss to 10.4%, according to a Goldman trading note quoted by the newsletter The Dark Side of the Boom. Hedge funds' short positions were near a five-year high, and short leverage in Goldman's prime book had reached the 99th percentile of its five-year range, 24/7 Wall St. reported. Jefferies' trading desk said the week to Oct 16 was its most heavily sell-skewed week in tech in more than five years, with $7.5 billion of net selling, more than during the DeepSeek selloff in January 2025, according to Yahoo Finance.

Goldman's basket data is private, but a public proxy tells the same story. The Goldman Sachs Hedge Industry VIP ETF (GVIP) holds the long side of the VIP basket. Subtracting the return of the equal-weight S&P 500 ETF (RSP) removes the market's overall move and leaves the cost of crowding. On Thursday, GVIP lagged RSP by 4.02 percentage points, the fourth-worst day since the ETF began trading in November 2016.

Journey in Garret / Hedge fund crowding

Worst days for hedge funds' favorite stocks versus the average stock

Daily return of the Goldman Sachs Hedge Industry VIP ETF (GVIP) minus the equal-weight S&P 500 ETF (RSP), since Nov 2016

GVIP minus RSPGVIP alone
Hover, tap, or use ↑ ↓ to inspect each row.

GVIP holds the long side of Goldman's hedge fund VIP basket, the 50 stocks that appear most often among hedge funds' top holdings. Subtracting the equal-weight S&P 500 strips out the market's overall move and leaves the cost of crowding. Goldman's own measure pairs the VIP basket against the most-shorted stocks and is not public.

View the data table
DayGVIP minus RSPGVIP alone
Jun 23, 2026 (KOSPI −10%)−5.67 pts−6.01%
Nov 9, 2020 (vaccine rotation)−4.89 pts−0.60%
Jan 27, 2025 (DeepSeek)−4.57 pts−4.50%
Oct 22, 2026 (Meta filing)−4.02 pts−3.29%
Feb 4, 2026−4.00 pts−3.12%
Jul 16, 2026−3.53 pts−2.55%
Jul 24, 2026−3.19 pts−2.42%
Jun 5, 2026−3.09 pts−4.51%
Mar 6, 2025−3.05 pts−4.16%
Jul 2, 2026−3.02 pts−2.32%
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

The ranking says as much about this year as about Thursday. Seven of the 10 worst days on this measure came in 2026. The worst of all was June 23, the day South Korea's KOSPI fell 10%. The others include the November 2020 vaccine rotation and the DeepSeek selloff. Crowding in AI stocks has become a global trade, and when it unwinds, it unwinds everywhere at once.

For October as a whole, GVIP is −6.2% and RSP +4.1%, a gap of 10.3 percentage points. That is almost exactly the 10.4% October loss Goldman reported for its own long-short pair.

Journey in Garret / Hedge fund crowding

October: hedge funds' favorites against the average stock

Cumulative return since Sept 30, GVIP vs. RSP

Hedge fund VIP (GVIP)Equal-weight S&P 500 (RSP)
Hover, tap, or use ← → to inspect each observation.

Closing prices, price only. Sept 30 = 0.

View the data table
CloseHedge fund VIP (GVIP)Equal-weight S&P 500 (RSP)
Oct 23−6.24%+4.10%
Oct 22−5.75%+4.90%
Oct 21−2.54%+4.14%
Oct 20−3.35%+3.77%
Oct 19−3.62%+2.59%
Oct 16−4.19%+2.92%
Oct 15−1.78%+3.36%
Oct 14−2.44%+1.96%
Oct 13+0.05%+2.54%
Oct 12+0.55%+2.49%
Oct 9+1.67%+2.41%
Oct 8+0.79%+1.85%
Oct 7+2.03%+1.24%
Oct 6+2.69%+2.07%
Oct 5+2.19%+1.49%
Oct 2+0.76%+0.82%
Oct 1+0.21%+0.47%
Sep 300.00%0.00%
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

The basket of stocks held by Value Aligned Research Advisors, the AI-focused fund at the center of liquidation rumors in mid-October (see the Oct 16 recap), kept falling this week. Its 25 largest positions from the June 30 filing, weighted by the fund's holdings, are −15.6% since Sept 30, compared with −12.1% through Oct 16. There is still no confirmation that the fund is unwinding.

VARA's top 25 holdings · October so far
Sep 30 close → Oct 23 close
Stocks = 25 largest underlyings in the June 30 13F by stock + call value · basket weighted by that value (equal-weight −18.09%) · closing prices

Griffin pushed back on the explanation itself. Blaming the chip selloff on hedge fund deleveraging "actually washes your hands of accountability," he said, meaning that the funds had chosen to crowd into the same trade. In the Bloomberg interview, he said deleveraging should be the last explanation an investor reaches for, after working out what other traders know. He also described how Citadel took over the entire Situational Awareness portfolio within 24 hours during July's selloff, after fast-money traders had started selling ahead of the fund, and hedged it for several days; he said he does not expect a similar case soon. The data support both readings. The losses were concentrated where the crowding was, which is what forced selling looks like. But the crowding itself came from a fundamental bet on AI spending, and that bet is now being questioned on its merits. That July sale marked the low of the month's chip rout, as covered in an August recap. A bottom driven by the end of forced selling only holds if the fundamental doubt fades too.

Semiconductors at the 200-Day Line

The Philadelphia Semiconductor Index touched its 200-day moving average on Thursday for the first time since June 2025, then dipped below it intraday again on Friday and closed above it both days. Traders watch that line as support. The question is whether it has worked as support in the past.

Journey in Garret / Semiconductor stocks at the 200-day line

Philadelphia Semiconductor Index and its 200-day average

Daily closes since July 2024

SOX50-day average200-day average
Hover, tap, or use ← → to inspect each observation.

Simple moving averages of daily closes.

View the data table
CloseSOX50-day average200-day average
Oct 23, 202610,78011,95010,690
Oct 22, 202610,73211,98310,674
Oct 15, 202611,58112,08210,578
Oct 8, 202612,62412,04110,456
Oct 1, 202612,82911,88010,303
Sep 24, 202612,49211,81710,170
Sep 17, 202611,60011,84210,039
Sep 10, 202611,61411,9789,923
Sep 2, 202611,33912,1799,796
Aug 26, 202611,61112,4139,684
Aug 19, 202611,73812,5609,571
Aug 12, 202612,39912,6639,444
Aug 5, 202612,00912,7299,310
Jul 29, 202610,44812,7369,185
Jul 22, 202612,41112,7829,068
Jul 15, 202612,39912,6998,928
Jul 8, 202612,57512,4698,769
Jun 30, 202614,24712,1898,602
Jun 23, 202613,48211,7458,406
Jun 15, 202614,10011,2018,202
Jun 8, 202612,90710,6478,018
Jun 1, 202612,96610,0977,830
May 22, 202612,2029,5927,652
May 15, 202611,5889,1957,499
May 8, 202611,7768,8007,344
May 1, 202610,5958,5117,207
Apr 24, 202610,5148,2907,090
Apr 17, 20269,5568,0996,982
Apr 10, 20268,8907,9726,888
Apr 2, 20267,8337,9396,810
Mar 26, 20267,5867,9696,751
Mar 19, 20267,8637,9536,683
Mar 12, 20267,6437,9086,609
Mar 5, 20267,8227,8526,536
Feb 26, 20268,1977,7496,460
Feb 19, 20268,1737,6526,362
Feb 11, 20268,2927,5576,265
Feb 4, 20267,6197,4276,164
Jan 28, 20268,3077,2886,062
Jan 21, 20268,0427,1815,955
Jan 13, 20267,7487,1085,864
Jan 6, 20267,6517,0655,788
Dec 29, 20257,1787,0115,720
Dec 19, 20257,0686,9585,652
Dec 12, 20257,0346,9405,595
Dec 5, 20257,2956,8495,535
Nov 28, 20257,0256,7595,486
Nov 20, 20256,3526,6945,444
Nov 13, 20256,8196,6195,404
Nov 6, 20257,0186,4875,356
Oct 30, 20257,2166,3485,310
Oct 23, 20256,8476,2055,258
Oct 16, 20256,8006,0985,215
Oct 9, 20256,8405,9905,177
Oct 2, 20256,6265,8885,136
Sep 25, 20256,2855,8155,100
Sep 18, 20256,2785,7555,068
Sep 11, 20255,9955,7085,040
Sep 4, 20255,6685,6745,015
Aug 27, 20255,8255,6335,003
Aug 20, 20255,6315,5804,985
Aug 13, 20255,8935,5104,972
Aug 6, 20255,5505,4184,958
Jul 30, 20255,7875,3424,951
Jul 23, 20255,6385,2624,938
Jul 16, 20255,6965,1314,925
Jul 9, 20255,6664,9884,909
Jul 1, 20255,5084,8264,892
Jun 24, 20255,4424,6684,871
Jun 16, 20255,2674,5204,863
Jun 9, 20255,1374,4194,862
Jun 2, 20254,8334,3724,864
May 23, 20254,7024,3514,861
May 16, 20254,9224,3164,860
May 9, 20254,4664,2884,863
May 2, 20254,3974,3444,888
Apr 25, 20254,2524,4414,927
Apr 17, 20253,8324,5484,968
Apr 10, 20253,8934,6545,006
Apr 3, 20253,8944,7845,051
Mar 27, 20254,4154,8935,083
Mar 20, 20254,6014,9455,100
Mar 13, 20254,4534,9945,115
Mar 6, 20254,4885,0585,130
Feb 27, 20254,6875,1045,138
Feb 20, 20255,3115,1105,134
Feb 12, 20255,0915,0895,119
Feb 5, 20255,0925,0765,104
Jan 29, 20254,9185,0665,095
Jan 22, 20255,4695,0745,088
Jan 14, 20255,0465,0495,078
Jan 6, 20255,3105,0605,073
Dec 27, 20245,1235,0705,064
Dec 19, 20244,8945,0865,061
Dec 12, 20244,9825,0995,056
Dec 5, 20245,0265,1165,048
Nov 27, 20244,8535,1195,034
Nov 20, 20244,8845,1165,023
Nov 13, 20245,0065,0965,009
Nov 6, 20245,2165,0734,989
Oct 30, 20245,1545,0864,971
Oct 23, 20245,1315,0794,942
Oct 16, 20245,1565,0324,912
Oct 9, 20245,3224,9804,884
Oct 2, 20245,0994,9624,856
Sep 25, 20245,1324,9854,826
Sep 18, 20244,8595,0584,792
Sep 11, 20244,9105,1344,762
Sep 4, 20244,7715,2104,738
Aug 27, 20245,1545,2744,704
Aug 20, 20245,1965,3064,661
Aug 13, 20244,9425,3164,613
Aug 6, 20244,5685,3664,578
Jul 30, 20244,8905,3984,546
Jul 23, 20245,3985,3864,507
Jul 16, 20245,8045,3244,458
Jul 9, 20245,7655,2104,397
Jul 1, 20245,4775,0894,342
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

Since 1995, the SOX has made 15 first touches of its 200-day average after at least 120 straight closes above it. Twenty trading days later, the index was higher nine times, with a median change of +1.9%, close to the +1.7% median for any 20-day period. Sixty days later, it was higher only seven times, with a median of −1.2%, against +4.7% for all 60-day periods. In nine of the 15 cases, the index closed more than 3% below the line within 20 days, and the median worst point over the next six months was 19% below the touch.

Journey in Garret / Semiconductor stocks at the 200-day line

What happened after the SOX first touched its 200-day average

Every first touch after at least 120 straight closes above the average, 1995-2024: return 20 and 60 trading days later

60 days later20 days later
Hover, tap, or use ↑ ↓ to inspect each row.

“held” = the index closed above the average on the day of the touch, as it did on Oct 22 and Oct 23, 2026. Touch = intraday low at or below the 200-day simple moving average of closes.

View the data table
First touch60 days later20 days later
Nov 1995 ·held−13.9%−10.7%
Oct 1997−14.1%−2.4%
Aug 2000 ·held−27.9%+21.3%
Mar 2004−1.2%+2.4%
May 2006−17.5%−11.4%
Aug 2007−8.7%+1.9%
May 2010 ·held+0.7%−1.2%
Jun 2011−15.8%+1.0%
Oct 2014+18.5%+13.6%
Jun 2015−12.9%−4.0%
Apr 2018+9.8%+9.9%
Feb 2020 ·held+6.7%−12.7%
Oct 2021 ·held+23.0%+19.6%
Oct 2023+32.7%+15.4%
Aug 2024 ·held+13.1%+12.0%
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

The history splits sharply by era. Before 2018, eight of the 10 first touches were followed by lower prices 60 days later, including August 2000, when a bounce of more than 20% turned into a 28% decline. Since 2018, all five touches were followed by higher prices, including October 2023 (+32.7%) and August 2024 (+13.1%). The recent cases came during the long upswing in chip demand from cloud computing and then AI. Most of the older ones came near the top of a chip cycle. The 200-day line by itself has been close to a coin flip; what decided the outcome each time was whether the demand cycle was still rising. That makes next week's capital spending guidance from Microsoft, Alphabet and Amazon more important for the SOX than the moving average.

Memory Prices and the Chip Cycle

Contract prices for memory chips are published by private research firms, so a public stand-in is needed to see where the cycle stands. Micron's gross margin works well, because it moves closely with DRAM and NAND prices. In the quarter that ended Sept 3, Micron's revenue was $54.2 billion, nearly five times the $11.3 billion of a year earlier, and its gross margin was 86.8%, against 44.7% a year earlier and a peak of 61.0% in the 2018 cycle, based on its SEC filings.

Journey in Garret / The memory cycle

Memory margins, chip stocks and the S&P 500

Micron's quarterly gross margin (right axis) vs. 12-month change in the SOX and the S&P 500 at each quarter end (left axis)

SOX, 12-month changeS&P 500, 12-month changeMicron gross margin
Hover, tap, or use ← → to inspect each observation.

DRAM contract and spot prices are proprietary (TrendForce/DRAMeXchange), so Micron's gross margin is used as a public proxy for memory pricing. Micron's fiscal quarters end in late Feb/early Mar, late May/early Jun, late Aug/early Sep and late Nov/early Dec; the latest quarter ended Sept 3, 2026. Fiscal fourth quarters are derived as the full year minus the first three quarters.

View the data table
Quarter endSOX, 12-month changeS&P 500, 12-month changeMicron gross margin
Sep 2026+98.3%+14.4%86.8%
May 2026+169.6%+28.2%84.6%
Feb 2026+69.9%+15.5%74.4%
Nov 2025+42.6%+13.5%56.0%
Aug 2025+9.9%+14.4%44.7%
May 2025−7.1%+12.0%37.7%
Feb 2025+0.8%+16.8%36.8%
Nov 2024+32.3%+32.1%38.4%
Aug 2024+40.5%+25.3%35.3%
May 2024+48.4%+26.3%26.9%
Feb 2024+59.8%+28.4%18.5%
Nov 2023+31.8%+12.0%−0.7%
Aug 2023+37.1%+14.0%−10.8%
Jun 2023+43.7%+17.6%−17.8%
Mar 2023−5.8%−9.3%−32.7%
Dec 2022−35.8%−19.4%21.9%
Sep 2022−29.2%−16.8%39.5%
Jun 2022−23.6%−11.9%46.7%
Mar 2022+9.7%+14.0%47.2%
Dec 2021+41.2%+26.9%46.4%
Sep 2021+45.2%+28.1%47.3%
Jun 2021+67.6%+38.6%42.1%
Mar 2021+106.9%+53.7%26.4%
Dec 2020+51.1%+16.3%30.1%
Sep 2020+44.0%+13.0%34.1%
May 2020+42.9%+10.6%32.4%
Feb 2020+26.3%+6.1%28.2%
Nov 2019+38.5%+13.8%26.6%
Aug 2019+7.4%+0.9%28.6%
May 2019−6.0%+1.7%38.2%
Feb 2019−0.9%+2.6%49.1%
Nov 2018−2.6%+4.3%58.3%
Aug 2018+25.7%+17.4%61.0%
May 2018+26.3%+12.2%60.6%
Mar 2018+31.4%+11.8%58.1%
Nov 2017+44.7%+20.4%55.1%
Aug 2017+39.0%+13.9%50.7%
Jun 2017+49.6%+15.5%46.9%
Mar 2017+49.4%+14.7%36.7%
Dec 2016+36.6%+9.5%25.5%
Sep 2016+38.6%+12.9%18.0%
Jun 2016+1.6%+1.7%17.2%
Mar 2016−2.7%−0.4%19.7%
Dec 2015−3.4%−0.7%25.3%
Sep 2015−5.6%−2.6%26.9%
Jun 2015+7.0%+5.2%31.2%
Mar 2015+18.5%+10.4%33.7%
Dec 2014+28.4%+11.4%35.8%
Aug 2014+41.0%+22.7%32.8%
May 2014+27.9%+18.0%34.4%
Feb 2014+32.2%+22.8%34.2%
Nov 2013+36.3%+27.5%31.7%
Aug 2013+15.5%+16.1%24.9%
May 2013+27.2%+24.5%24.0%
Feb 2013+0.6%+10.9%17.6%
Nov 2012+0.3%+13.6%11.8%
Aug 2012+11.4%+15.4%11.2%
May 2012−16.2%−2.6%10.8%
Mar 2012+0.3%+6.2%10.5%
Dec 2011−11.5%0.0%14.6%
Sep 2011−3.0%−0.9%15.0%
Jun 2011+23.5%+28.1%22.3%
Mar 2011+19.3%+13.4%19.3%
Dec 2010+14.4%+12.8%23.3%
Sep 2010+7.2%+8.0%31.3%
Jun 2010+26.3%+12.1%37.1%
Mar 2010+58.8%+46.6%32.7%
Dec 2009+69.6%+23.5%25.5%
Dec 2008−48.0%−38.5%−32.0%
Sources: SEC XBRL company data (Micron) · Yahoo Finance price data (own calculation). Embedded data, prepared Oct 26, 2026; not a live feed.

The history shows a consistent order of events. In every cycle since 2009, the SOX's 12-month gain, measured at quarter ends, peaked before Micron's margin did, by roughly four to 14 months: at the end of 2009 before the June 2010 margin peak, in 2017 before August 2018, in March 2021 before September 2021, and in February 2024 before November 2024. This time, the SOX's 12-month gain peaked at about 170% at the end of May and the index itself peaked on June 22, while Micron's margin was still rising in the September quarter. If the pattern holds, chip stocks are already pricing a margin peak within the next few quarters, which fits the P/E compression in tech described above.

The chart says nothing about how far margins fall when they turn. Micron's margin went from 61% to 27% between 2018 and 2019, and from 47% to −33% between 2022 and 2023. The S&P 500 kept rising through the 2019 downturn but fell alongside chips in 2022, when the Fed was raising rates. That second combination, a memory downturn during a tightening cycle, is the one bears warn about, as the Korea section below explores.

Big Tech's Cash Flow Before the Reports

The four largest AI spenders have spent the past year converting free cash flow into data centers. In the 12 months to June, Microsoft generated $182.9 billion of operating cash and spent $119.0 billion on capital projects. Alphabet generated $185.7 billion and spent $134.9 billion. Amazon spent $174.6 billion against $161.4 billion of operating cash. Meta, which reported on Wednesday, spent $108.0 billion in the 12 months to September against $133.1 billion, and its free cash flow turned negative in the third quarter.

Journey in Garret / Big Tech cash flow

Free cash flow after AI spending, by quarter

Operating cash flow minus capital spending incl. finance lease principal, $ billions

MicrosoftAlphabetAmazonMeta
Hover, tap, or use ← → to inspect each observation.

Calendar quarters. Capital spending = purchases of property and equipment + principal payments on finance leases. Amazon's tagged purchases are gross of proceeds and incentives, so its free cash flow here is slightly lower than the company's own figure. Meta has reported its September quarter; the others report Oct 28-29.

View the data table
QuarterMicrosoftAlphabetAmazonMeta
Q3 '26–––−$2.1B
Q2 '26$18.7B−$6.2B−$9.2B$0.8B
Q1 '26$15.0B$9.6B−$18.6B$12.4B
Q4 '25$5.2B$23.0B$14.6B$14.1B
Q3 '25$25.0B$24.4B$0.1B$10.6B
Q2 '25$24.9B$5.2B−$0.1B$8.6B
Q1 '25$19.9B$18.8B−$8.4B$10.3B
Q4 '24$6.0B$24.7B$17.5B$13.2B
Q3 '24$18.5B$17.5B$3.0B$15.5B
Q2 '24$22.9B$13.3B$7.1B$10.9B
Q1 '24$20.6B$16.8B$3.3B$12.5B
Q4 '23$8.8B$7.9B$27.1B$11.5B
Q3 '23$20.4B$22.6B$7.7B$13.6B
Q2 '23$19.6B$21.8B$3.8B$11.0B
Q1 '23$17.6B$17.2B−$10.8B$6.9B
Sources: SEC filings (10-Q/10-K, XBRL company facts). Embedded data, prepared Oct 24, 2026; not a live feed.
Journey in Garret / Big Tech cash flow

Twelve months of cash in and cash out

Trailing 12-month operating cash flow vs. capital spending, $ billions (latest reported quarter)

Operating cash flowCapital spending
Hover, tap, or use ← → to inspect each observation.

Microsoft, Alphabet and Amazon: 12 months to June 30, 2026. Meta: to Sept 30, 2026. Oracle: to Aug 31, 2026 (fiscal Q1 2027), from the company's free cash flow table; Oracle's capital spending excludes finance leases.

View the data table
CompanyOperating cash flowCapital spending
Oracle$46.9B$75.7B
Meta$133.1B$108.0B
Amazon$161.4B$174.6B
Alphabet$185.7B$134.9B
Microsoft$182.9B$119.0B
Sources: SEC filings · Oracle Q1 FY27 release. Embedded data, prepared Oct 24, 2026; not a live feed.

Spending at that scale is only justified if it produces revenue, and here the four companies split into two groups. Three of them rent computing capacity to outside customers, and that business is growing fast. AWS revenue rose 37% to $42.2 billion in the June quarter and its operating income 64% to $16.6 billion, Amazon reported. Google Cloud revenue rose 82% to $24.8 billion and operating income tripled to $8.8 billion, according to Alphabet. Microsoft's Azure grew 43% and its commercial backlog reached $678 billion, the company said. Oracle's cloud infrastructure revenue rose 121% in the August quarter, and its remaining performance obligations reached $664 billion.

The more useful measure is how much new revenue each dollar of spending is buying. Taking the year-over-year increase in each cloud business's quarterly revenue, annualizing it, and dividing by the company's capital spending over the past 12 months gives about $33 of new annual revenue per $100 of capex at Google Cloud, $32 at Microsoft's Intelligent Cloud segment, $26 at AWS and $21 at Oracle. Measured by operating income, each $100 of capex has bought about $18 of new annual profit at Google Cloud and $15 at AWS.

Journey in Garret / Is the AI spending paying?

New cloud revenue for each dollar of capital spending

Year-over-year increase in quarterly cloud revenue, annualized, as a share of trailing 12-month capital spending

New annual revenue per $100 of capexNew annualized revenue
Hover, tap, or use ↑ ↓ to inspect each row.

Latest reported quarter vs. the same quarter a year earlier: June quarter for AWS, Google Cloud and Microsoft; August quarter for Oracle. Company-wide capital spending is used because none of the four discloses cloud-only capex. Microsoft's Intelligent Cloud segment and Oracle's cloud infrastructure line are the closest reported equivalents. Backlog: AWS and Google Cloud as disclosed with Q2 results; Microsoft commercial remaining performance obligation; Oracle total remaining performance obligations, compared with Oracle's total revenue because its backlog covers the whole company.

View the data table
Cloud businessNew annual revenue per $100 of capexNew annualized revenue
AWS (Amazon)$26$45.4B
Google Cloud$33$44.6B
Intelligent Cloud (Microsoft)$32$38.1B
Oracle Cloud Infrastructure$21$16.2B
Sources: Amazon Q2 release · Alphabet Q2 release · Microsoft FY26 Q4 release · Oracle Q1 FY27 release. Embedded data, prepared Oct 24, 2026; not a live feed.

Those numbers are not yet a good return on assets that wear out in five or six years, but they are rising, and the backlogs suggest more revenue is already contracted: AWS's equals about three years of its current revenue, Google Cloud's about five, and Microsoft's commercial backlog about four years of its Intelligent Cloud revenue. This is where the comparison with the metaverse and NFTs breaks down. Meta's Reality Labs spent years on a product with no paying customers. Cloud AI has paying customers and signed contracts. The weaker link is who those customers are. Much of the growth in these backlogs comes from AI labs such as OpenAI and Anthropic that are themselves raising money, which is why this week's funding scare spread so quickly from Meta to the suppliers.

The AI labs sit one step further out on the same chain. Anthropic's confidential draft IPO filing lists $518 billion of compute commitments over roughly the next decade, about 80% of them payable regardless of use, including at least $111 billion with Google, $110 billion with Amazon and about $161 billion of Broadcom-related equipment leases, Reuters reported. A later version described about $450 billion of noncancelable cloud agreements and up to $750 billion of potential compute spending, according to the Journal's reporting as summarized by 24/7 Wall St. Against that, Anthropic's revenue was about $16.3 billion in the first half of 2026, and its annualized run rate passed $65 billion at the end of July, Axios reported, citing Bloomberg. OpenAI expects to spend about $856 billion on computing through 2030, according to reports by the Financial Times and Bloomberg summarized by Tech Times, against annualized revenue of roughly $50 billion at the end of September, Bloomberg reported.

Journey in Garret / Is the AI spending paying?

AI labs: compute commitments vs. revenue

Multi-year compute commitments or spending plans vs. annualized revenue, $ billions

Compute commitments / planAnnualized revenue run rate
Hover, tap, or use ← → to inspect each observation.

Anthropic: $518 billion of compute commitments over about a decade in its confidential draft IPO filing (Sept version; about 80% payable regardless of use), run rate above $65 billion at the end of July; first-half 2026 revenue was about $16.3 billion. OpenAI: about $856 billion of planned computing spending through 2030, run rate about $50 billion at the end of September. The two companies count revenue from cloud resellers differently, and run rates extrapolate a short period, so the comparison is approximate.

View the data table
CompanyCompute commitments / planAnnualized revenue run rate
OpenAI$856B$50B
Anthropic$518B$65B

Those commitments equal roughly eight and 17 times the two labs' current run rates. They are spread over many years and revenue is growing quickly, with Anthropic's first-half revenue about 15 times the year-earlier level, so the gap can close. But the hyperscalers' backlogs and the chipmakers' order books rest on those commitments being met, and both labs need outside capital to meet them. That is the link between an AI lab's next funding round and Lam Research's stock price.

For the hyperscalers themselves, annual capital spending now exceeds annualized cloud revenue at Amazon, Alphabet and Oracle, while Microsoft's Intelligent Cloud revenue still runs above its trailing capex.

Journey in Garret / Is the AI spending paying?

Annual spending vs. annualized cloud revenue

Capital spending (2026 guidance or trailing 12 months) vs. latest quarter's cloud revenue × 4, $ billions

Capital spendingAnnualized cloud revenue
Hover, tap, or use ← → to inspect each observation.

Amazon's 2026 capex guidance is about $220 billion; Alphabet's is $195-205 billion; Meta's is $135-145 billion including finance leases. Microsoft has not given calendar-year guidance, so its trailing 12-month figure is shown. Cloud revenue: AWS, Google Cloud and Microsoft's Intelligent Cloud segment for the June quarter; Oracle's cloud infrastructure for the August quarter.

View the data table
CompanyCapital spendingAnnualized cloud revenue
Oracle$76B$30B
Meta$140B$0B
Microsoft$119B$157B
Alphabet$200B$99B
Amazon$220B$169B
Sources: Company releases and filings (SEC) · Yahoo Finance on Amazon's capex guidance. Embedded data, prepared Oct 26, 2026; not a live feed.

Meta is the exception among the four. It does not rent its computing to anyone, so the return on its spending has to show up in advertising. Revenue rose 26% in the third quarter, which is strong, but its capital spending is now larger than its operating cash flow and its filing says the gap will be filled with outside money. Without an external cloud business, investors cannot see the return in a separate line, and on Thursday they decided not to wait.

Meta's funding plans also became clearer during the week, and the market treated them as a cost to shareholders. The company will distribute one nonvoting Class C share for each existing share, effective Jan 19, 2027, which lets it sell stock later without diluting Mark Zuckerberg's voting control. Barron's reported that Meta could raise about $20 billion within weeks through shares or convertible bonds, with more possible after the distribution, according to a FinanceFeeds summary that also noted Chief Financial Officer Susan Li's comment on the call that Meta has no specific financing plans to announce; she described the "hundreds of billions" in the filing as a theoretical maximum. The cost of insuring Meta's debt rose anyway. Its five-year credit default swaps reached a record of about 115 basis points on Thursday, according to Reuters, using Markit data, and the spread on its 2031 bonds widened to 0.75 percentage point on Friday, according to MarketAxess data cited by the Journal.

Meta can still borrow. It held about $82 billion of cash and securities against about $81 billion of long-term debt at the end of September and is rated investment grade. The problem is scale: borrowing hundreds of billions would strain that rating, so new shares are a likely source for part of the money, and each issue spreads future profits over more stock. A $20 billion raise would equal about 1.1% of Meta's roughly $1.8 trillion market value, small on its own. What investors are pricing is the chance of repeated raises if spending keeps outrunning cash flow.

Next week's reports will be read on four points: whether free cash flow stays positive after capital spending and leases, how any shortfall is being funded, whether cloud revenue is growing faster than capex, and how the stocks are positioned going in. Alphabet's free cash flow was already negative in the June quarter at −$5.9 billion, and Amazon's has been negative over the past 12 months. Over 12 months, Microsoft ($63.9 billion) and Alphabet ($50.8 billion) still have large surpluses after spending.

Is Korea a Preview? Checking the Claim

A widely watched video from Bravos Research argues that Korea's stock market crash is an early warning for the U.S. The case is worth checking piece by piece, because parts of it hold up and parts do not.

The crash itself is real. The KOSPI closed at a record 9,114.55 on June 22, 2026, then slid to 5,593.56 by July 30, a −38.6% drop, over 27 trading sessions rather than a few days. June 23 was a Tuesday, and the index closed −9.99% that day. The Bank of Korea raised its base rate to 2.75% on July 16, its first hike since 2023, according to Trading Economics, and to 3.00% on Aug 27. A same-day signal from the central bank on June 23, as the video describes, could not be confirmed.

Other details need correcting. Korean margin debt peaked near 38 trillion won in June, according to Korea Financial Investment Association data cited by The Korea Herald, and loans tied to Samsung Electronics and SK hynix made up about a quarter of it rather than most of it. Foreign investors did not extend their selling in August; they bought a net 340 billion won of Korean stocks that month, ending a seven-month selling streak, according to Financial Supervisory Service data reported by Korea JoongAng Daily. The selling resumed in September at $14.2 billion, Bank of Korea data showed. Margin loans have since climbed back to 32.75 trillion won, Seoul Economic Daily reported, so Korean investors are re-leveraging into a market still 39% below its June record.

The historical claim is the weakest part. In 2000, the KOSPI peaked on Jan 4 and the S&P 500 on March 24, about 11 weeks later, not eight months; the S&P came back within 0.5% of its high on Sept 1, 2000, which may explain the video's figure. In 2021 the lead held: the KOSPI peaked on July 6, 2021, and the S&P 500 on Jan 3, 2022, about six months later. But in 2007 the S&P 500 peaked first, in 2011 the two peaked the same week, and in 2018 the KOSPI peaked in January while the S&P 500 kept rising until September before a fourth-quarter decline that stopped just short of a bear market.

Journey in Garret / Korea as a preview?

How many months the KOSPI peaked before the S&P 500

Cycle highs on closing prices; negative = the S&P 500 peaked first

Months, KOSPI high → S&P 500 high
Hover, tap, or use ↑ ↓ to inspect each row.

Highest close within each cycle. 2026: the S&P 500's record on Oct 6 is the high so far, not a confirmed cycle peak. On Sept 1, 2000, about eight months after the KOSPI's high, the S&P 500 closed within 0.5% of its March record.

View the data table
CycleMonths, KOSPI high → S&P 500 high
2000 cycle+2.6 mo
2007 cycle−0.7 mo
2011 cycle−0.1 mo
2018 cycle+7.7 mo
2021 cycle+5.9 mo
2026 so far+3.5 mo
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

This cycle has a detail the video leaves out. The KOSPI and the Philadelphia Semiconductor Index peaked on the same day, June 22. Korea's market is dominated by memory chipmakers, so the KOSPI has been tracking the chip cycle, not leading the U.S. economy. Since June 22, the KOSPI is −39.1%, the SOX −26.3% and the S&P 500 +2.0%. The question the video raises is better asked directly: will the rest of the U.S. market follow its chip stocks down?

Journey in Garret / Korea as a preview?

KOSPI, the chip index and the S&P 500 since January 2025

Indexed to 100 on Jan 2, 2025 (log-like spacing not applied)

KOSPIPhiladelphia Semiconductor IndexS&P 500
Hover, tap, or use ← → to inspect each observation.

Daily closes. Korean and U.S. trading days differ; only days when both markets traded are shown.

View the data table
CloseKOSPIPhiladelphia Semiconductor IndexS&P 500
Oct 23, 2026231215130
Oct 22, 2026231214131
Oct 21, 2026239229132
Oct 20, 2026232225131
Oct 19, 2026240225131
Oct 16, 2026236222130
Oct 15, 2026232231132
Oct 14, 2026250233132
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Oct 7, 2026284260133
Oct 6, 2026289263133
Oct 2, 2026292262132
Oct 1, 2026291256131
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Jun 2, 202511296101
May 30, 202511295101
May 29, 202511397101
May 28, 202511196100
May 27, 202511097101
May 23, 20251089499
May 22, 202510895100
May 21, 202510996100
May 20, 202510897101
May 19, 202510898102
May 16, 202511098102
May 15, 202510998101
May 14, 202511099100
May 13, 202510998100
May 12, 202510995100
May 9, 20251078996
May 8, 20251088896
May 7, 20251078796
May 2, 20251078897
Apr 30, 20251078495
Apr 29, 20251078495
Apr 28, 20251068494
Apr 25, 20251068594
Apr 24, 20251058494
Apr 23, 20251057992
Apr 22, 20251047690
Apr 21, 20251047588
Apr 17, 20251037690
Apr 16, 20251027790
Apr 15, 20251038092
Apr 14, 20251028092
Apr 11, 20251018091
Apr 10, 20251027890
Apr 9, 2025968493
Apr 8, 2025977185
Apr 7, 2025977486
Apr 4, 20251037286
Apr 3, 20251047892
Apr 2, 20251048697
Apr 1, 20251058596
Mar 31, 20251038596
Mar 28, 20251078595
Mar 27, 20251098897
Mar 26, 20251109097
Mar 25, 20251099398
Mar 24, 20251109498
Mar 21, 20251109197
Mar 20, 20251109296
Mar 19, 20251109297
Mar 18, 20251099196
Mar 17, 20251099397
Mar 14, 20251079296
Mar 13, 20251078994
Mar 12, 20251078995
Mar 11, 20251068795
Mar 10, 20251078896
Mar 7, 20251079298
Mar 6, 20251078998
Mar 5, 202510794100
Mar 4, 20251059298
Feb 28, 202510695102
Feb 27, 202510993100
Feb 26, 202511099102
Feb 25, 202511097102
Feb 24, 2025110100102
Feb 21, 2025111102102
Feb 20, 2025111106104
Feb 19, 2025111106105
Feb 18, 2025110104104
Feb 14, 2025108103104
Feb 13, 2025108103104
Feb 12, 2025106101103
Feb 11, 2025106101103
Feb 10, 2025105101103
Feb 7, 2025105100103
Feb 6, 2025106101104
Feb 5, 2025105101103
Feb 4, 202510399103
Feb 3, 202510298102
Jan 31, 2025105100103
Jan 24, 2025106106104
Jan 23, 2025105108104
Jan 22, 2025106109104
Jan 21, 2025105107103
Jan 17, 2025105106102
Jan 16, 2025105103101
Jan 15, 2025104103101
Jan 14, 2025104100100
Jan 13, 202510410099
Jan 10, 202510510099
Jan 8, 2025105103101
Jan 7, 2025104104101
Jan 6, 2025104106102
Jan 3, 2025102103101
Jan 2, 2025100100100
Sources: Yahoo Finance price data (own calculation). Embedded data, prepared Oct 24, 2026; not a live feed.

On U.S. leverage, the video's numbers check out. Margin debt at FINRA member firms reached a record $1.50 trillion in June and stood at $1.48 trillion in September, FINRA data show. Its 12-month growth peaked at 54% in May. Since 1998, growth above 50% has happened only around March 2000, July 2007 and the 2021 run-up, each within about a year of a major market top. The 10 largest stocks make up about 42% of the S&P 500 by market value, based on Friday's closing values. And the Fed did raise rates in September: the effective federal funds rate rose to 3.88% from 3.63% on Sept 17, according to New York Fed data.

Journey in Garret / Korea as a preview?

U.S. margin debt: level and 12-month growth

Debit balances in customers' securities margin accounts, FINRA member firms

12-month changeMargin debt ($ trillions)
Hover, tap, or use ← → to inspect each observation.

Monthly. Latest: September 2026. Dashed lines mark the peaks in the dollar level before the 2000, 2007 and 2022 bear markets, and the latest peak in June 2026.

View the data table
Month12-month changeMargin debt ($ trillions)
Sep 2026+31.4%$1.48T
Aug 2026+37.2%$1.45T
Jul 2026+38.6%$1.42T
Jun 2026+49.0%$1.50T
May 2026+53.7%$1.42T
Apr 2026+53.3%$1.30T
Mar 2026+38.7%$1.22T
Feb 2026+36.5%$1.25T
Jan 2026+36.5%$1.28T
Dec 2025+36.3%$1.23T
Nov 2025+36.3%$1.21T
Oct 2025+45.2%$1.18T
Sep 2025+38.5%$1.13T
Aug 2025+32.9%$1.06T
Jul 2025+26.1%$1.02T
Jun 2025+24.5%$1.01T
May 2025+13.8%$0.92T
Apr 2025+9.7%$0.85T
Mar 2025+12.3%$0.88T
Feb 2025+23.6%$0.92T
Jan 2025+33.5%$0.94T
Dec 2024+28.3%$0.90T
Nov 2024+34.8%$0.89T
Oct 2024+28.3%$0.81T
Sep 2024+19.4%$0.81T
Aug 2024+15.7%$0.80T
Jul 2024+14.2%$0.81T
Jun 2024+18.8%$0.81T
May 2024+25.7%$0.81T
Apr 2024+22.7%$0.78T
Mar 2024+21.5%$0.78T
Feb 2024+19.0%$0.74T
Jan 2024+9.5%$0.70T
Dec 2023+15.5%$0.70T
Nov 2023+2.7%$0.66T
Oct 2023−2.2%$0.64T
Sep 2023+2.5%$0.68T
Aug 2023+0.2%$0.69T
Jul 2023+1.9%$0.71T
Jun 2023−0.3%$0.68T
May 2023−14.4%$0.64T
Apr 2023−18.2%$0.63T
Mar 2023−19.3%$0.65T
Feb 2023−25.2%$0.62T
Jan 2023−22.7%$0.64T
Dec 2022−33.3%$0.61T
Nov 2022−29.9%$0.64T
Oct 2022−30.6%$0.65T
Sep 2022−26.5%$0.66T
Aug 2022−24.5%$0.69T
Jul 2022−17.5%$0.70T
Jun 2022−22.5%$0.68T
May 2022−12.6%$0.75T
Apr 2022−8.8%$0.77T
Mar 2022−2.8%$0.80T
Feb 2022+2.7%$0.83T
Jan 2022+3.9%$0.83T
Dec 2021+17.0%$0.91T
Nov 2021+27.2%$0.92T
Oct 2021+41.9%$0.94T
Sep 2021+38.0%$0.90T
Aug 2021+41.2%$0.91T
Jul 2021+37.6%$0.84T
Jun 2021+50.9%$0.88T
May 2021+55.9%$0.86T
Apr 2021+61.5%$0.85T
Mar 2021+71.6%$0.82T
Feb 2021+49.3%$0.81T
Jan 2021+42.1%$0.80T
Dec 2020+34.3%$0.78T
Nov 2020+28.2%$0.72T
Oct 2020+18.9%$0.66T
Sep 2020+17.7%$0.65T
Aug 2020+14.3%$0.65T
Jul 2020+1.9%$0.61T
Jun 2020−2.0%$0.58T
May 2020−2.8%$0.55T
Apr 2020−10.9%$0.53T
Mar 2020−16.5%$0.48T
Feb 2020−6.2%$0.55T
Jan 2020−1.2%$0.56T
Dec 2019+4.5%$0.58T
Nov 2019−4.9%$0.56T
Oct 2019−8.7%$0.56T
Sep 2019−14.2%$0.56T
Aug 2019−13.4%$0.56T
Jul 2019−7.8%$0.60T
Jun 2019−7.8%$0.60T
May 2019−15.0%$0.57T
Apr 2019−9.7%$0.59T
Mar 2019−11.0%$0.57T
Feb 2019−9.9%$0.58T
Jan 2019−14.6%$0.57T
Dec 2018−13.8%$0.55T
Nov 2018−5.6%$0.59T
Oct 20180.0%$0.61T
Sep 2018+6.9%$0.65T
Aug 2018+9.4%$0.65T
Jul 2018+9.8%$0.65T
Jun 2018+10.7%$0.65T
May 2018+14.8%$0.67T
Apr 2018+10.4%$0.65T
Mar 2018+11.7%$0.65T
Feb 2018+13.4%$0.65T
Jan 2018+20.3%$0.67T
Dec 2017+21.4%$0.64T
Nov 2017+16.2%$0.63T
Oct 2017+16.1%$0.61T
Sep 2017+12.2%$0.61T
Aug 2017+16.9%$0.60T
Jul 2017+15.8%$0.59T
Jun 2017+19.8%$0.58T
May 2017+19.0%$0.58T
Apr 2017+19.3%$0.59T
Mar 2017+19.4%$0.58T
Feb 2017+19.9%$0.57T
Jan 2017+13.6%$0.55T
Dec 2016+5.2%$0.53T
Nov 2016+4.8%$0.54T
Oct 2016+1.9%$0.52T
Sep 2016+8.7%$0.54T
Aug 2016−1.1%$0.51T
Jul 2016−3.3%$0.51T
Jun 2016−11.0%$0.49T
May 2016−9.6%$0.49T
Apr 2016−10.0%$0.49T
Mar 2016−6.6%$0.48T
Feb 2016−6.1%$0.47T
Jan 2016+0.3%$0.49T
Dec 2015+1.6%$0.50T
Nov 2015+3.8%$0.52T
Oct 2015+4.3%$0.51T
Sep 2015−1.3%$0.50T
Aug 2015+3.0%$0.52T
Jul 2015+6.4%$0.53T
Jun 2015+9.1%$0.55T
May 2015+13.9%$0.54T
Apr 2015+15.7%$0.55T
Mar 2015+6.2%$0.52T
Feb 2015+0.6%$0.51T
Jan 2015−0.3%$0.49T
Dec 2014+3.6%$0.50T
Nov 2014+8.8%$0.50T
Oct 2014+10.8%$0.49T
Sep 2014+16.4%$0.50T
Aug 2014+20.9%$0.50T
Jul 2014+21.0%$0.50T
Jun 2014+23.2%$0.50T
May 2014+18.4%$0.47T
Apr 2014+16.3%$0.47T
Mar 2014+20.8%$0.49T
Feb 2014+28.6%$0.50T
Jan 2014+25.6%$0.49T
Dec 2013+34.8%$0.48T
Nov 2013+29.9%$0.46T
Oct 2013+30.0%$0.45T
Sep 2013+27.6%$0.43T
Aug 2013+29.4%$0.41T
Jul 2013+31.4%$0.41T
Jun 2013+27.0%$0.41T
May 2013+27.4%$0.40T
Apr 2013+21.9%$0.41T
Mar 2013+22.1%$0.40T
Feb 2013+20.8%$0.39T
Jan 2013+25.3%$0.39T
Dec 2012+17.7%$0.35T
Nov 2012+15.6%$0.35T
Oct 2012+8.0%$0.34T
Sep 2012+13.7%$0.34T
Aug 2012+3.7%$0.32T
Jul 2012−9.0%$0.31T
Jun 2012−7.0%$0.32T
May 2012−11.4%$0.32T
Apr 2012−7.1%$0.34T
Mar 2012−6.9%$0.33T
Feb 2012−7.4%$0.32T
Jan 2012−5.2%$0.31T
Dec 2011−3.8%$0.30T
Nov 2011−1.7%$0.30T
Oct 2011+4.5%$0.32T
Sep 2011+3.4%$0.30T
Aug 2011+15.1%$0.31T
Jul 2011+28.8%$0.34T
Jun 2011+31.2%$0.34T
May 2011+32.5%$0.36T
Apr 2011+22.1%$0.36T
Mar 2011+27.9%$0.35T
Feb 2011+32.4%$0.35T
Jan 2011+22.7%$0.33T
Dec 2010+19.5%$0.31T
Nov 2010+23.2%$0.31T
Oct 2010+14.3%$0.30T
Sep 2010+13.6%$0.29T
Aug 2010+13.6%$0.27T
Jul 2010+16.9%$0.27T
Jun 2010+21.2%$0.26T
May 2010+25.3%$0.27T
Apr 2010+42.1%$0.30T
Mar 2010+36.2%$0.28T
Feb 2010+32.1%$0.26T
Jan 2010+30.0%$0.27T
Dec 2009+24.8%$0.26T
Nov 2009+10.4%$0.25T
Oct 2009−4.4%$0.27T
Sep 2009−26.5%$0.25T
Aug 2009−27.3%$0.24T
Jul 2009−33.4%$0.23T
Jun 2009−37.4%$0.22T
May 2009−37.2%$0.21T
Apr 2009−37.4%$0.21T
Mar 2009−41.6%$0.20T
Feb 2009−47.1%$0.20T
Jan 2009−43.9%$0.20T
Dec 2008−40.8%$0.21T
Nov 2008−40.1%$0.23T
Oct 2008−26.4%$0.28T
Sep 2008−3.7%$0.35T
Aug 2008−10.4%$0.33T
Jul 2008−17.6%$0.34T
Jun 2008−15.1%$0.35T
May 2008−10.6%$0.34T
Apr 2008−2.9%$0.33T
Mar 2008+10.0%$0.35T
Feb 2008+17.4%$0.38T
Jan 2008+17.4%$0.37T
Dec 2007+17.1%$0.35T
Nov 2007+28.7%$0.38T
Oct 2007+40.8%$0.38T
Sep 2007+37.2%$0.36T
Aug 2007+45.4%$0.36T
Jul 2007+62.6%$0.42T
Jun 2007+62.4%$0.41T
May 2007+49.6%$0.38T
Apr 2007+29.0%$0.34T
Mar 2007+22.5%$0.32T
Feb 2007+28.7%$0.32T
Jan 2007+21.8%$0.31T
Dec 2006+24.2%$0.30T
Nov 2006+21.4%$0.29T
Oct 2006+11.6%$0.27T
Sep 2006+7.0%$0.26T
Aug 2006+7.8%$0.25T
Jul 2006+9.6%$0.26T
Jun 2006+12.2%$0.25T
May 2006+16.5%$0.26T
Apr 2006+21.9%$0.27T
Mar 2006+14.3%$0.26T
Feb 2006+11.9%$0.25T
Jan 2006+16.2%$0.26T
Dec 2005+12.2%$0.24T
Nov 2005+15.1%$0.24T
Oct 2005+21.1%$0.24T
Sep 2005+26.3%$0.24T
Aug 2005+23.2%$0.23T
Jul 2005+24.4%$0.23T
Jun 2005+15.5%$0.22T
May 2005+13.2%$0.22T
Apr 2005+9.4%$0.22T
Mar 2005+18.5%$0.23T
Feb 2005+17.2%$0.22T
Jan 2005+16.2%$0.22T
Dec 2004+19.9%$0.22T
Nov 2004+15.6%$0.21T
Oct 2004+12.9%$0.20T
Sep 2004+13.1%$0.19T
Aug 2004+12.3%$0.19T
Jul 2004+7.7%$0.19T
Jun 2004+15.3%$0.19T
May 2004+26.1%$0.19T
Apr 2004+38.8%$0.20T
Mar 2004+32.7%$0.19T
Feb 2004+35.5%$0.19T
Jan 2004+34.0%$0.19T
Dec 2003+30.1%$0.18T
Nov 2003+30.9%$0.18T
Oct 2003+26.5%$0.17T
Sep 2003+25.8%$0.17T
Aug 2003+20.2%$0.17T
Jul 2003+21.2%$0.17T
Jun 2003+9.3%$0.17T
May 2003−2.6%$0.15T
Apr 2003−10.0%$0.14T
Mar 2003−9.9%$0.14T
Feb 2003−9.3%$0.14T
Jan 2003−12.1%$0.14T
Dec 2002−13.1%$0.14T
Nov 2002−12.5%$0.14T
Oct 2002−9.0%$0.14T
Sep 2002−13.8%$0.14T
Aug 2002−17.8%$0.14T
Jul 2002−17.1%$0.14T
Jun 2002−14.3%$0.15T
May 2002−13.8%$0.16T
Apr 2002−9.7%$0.16T
Mar 2002−8.4%$0.16T
Feb 2002−22.1%$0.15T
Jan 2002−22.9%$0.16T
Dec 2001−23.7%$0.16T
Nov 2001−33.0%$0.16T
Oct 2001−39.3%$0.15T
Sep 2001−41.6%$0.16T
Aug 2001−36.1%$0.17T
Jul 2001−34.1%$0.17T
Jun 2001−32.1%$0.18T
May 2001−28.7%$0.18T
Apr 2001−34.5%$0.18T
Mar 2001−41.7%$0.17T
Feb 2001−30.0%$0.20T
Jan 2001−19.9%$0.21T
Dec 2000−13.1%$0.21T
Nov 2000+9.0%$0.24T
Oct 2000+29.2%$0.25T
Sep 2000+42.4%$0.27T
Aug 2000+41.3%$0.27T
Jul 2000+39.2%$0.26T
Jun 2000+40.9%$0.26T
May 2000+35.2%$0.26T
Apr 2000+45.8%$0.27T
Mar 2000+80.5%$0.30T
Feb 2000+74.5%$0.28T
Jan 2000+60.4%$0.26T
Dec 1999+62.8%$0.24T
Nov 1999+46.8%$0.22T
Oct 1999+40.4%$0.19T
Sep 1999+31.3%$0.19T
Aug 1999+20.4%$0.19T
Jul 1999+17.7%$0.19T
Jun 1999+21.6%$0.19T
May 1999+26.4%$0.19T
Apr 1999+25.7%$0.18T
Mar 1999+13.4%$0.17T
Feb 1999+15.3%$0.16T
Jan 1999+22.1%$0.16T
Dec 1998+13.0%$0.15T
Nov 1998+12.0%$0.15T
Oct 1998+2.9%$0.14T
Sep 1998+9.5%$0.14T
Aug 1998+25.3%$0.16T
Jul 1998+32.9%$0.16T
Jun 1998+29.9%$0.15T
May 1998+35.3%$0.15T
Apr 1998+42.5%$0.15T
Mar 1998+39.8%$0.15T
Feb 1998+36.0%$0.14T
Jan 1998+28.6%$0.13T
Sources: FINRA margin statistics. Embedded data, prepared Oct 24, 2026; not a live feed.

The video's conclusion is more careful than its headline. It argues that rate hikes plus leverage are dangerous, but that the trend matters for timing. The Fed began raising rates in June 1999, and the Nasdaq 100 more than doubled before peaking in March 2000. In 2022, the S&P 500 was already below its 200-day average when the Fed started hiking. Today the S&P 500 is 4.6% above its 200-day average and the Nasdaq 100 4.0% above, though both are now below their 50-day averages. On that measure the trend is weakening but intact, and the chip index is the part of the market already testing its long-term line.

Korea's week added to the pressure. The KOSPI finished −2.1% for the week and −20.8% since Oct 2, and SK hynix halted plans for a U.S. listing of its memory unit Solidigm on Friday.

The most telling Korean story was a small one. Elice, an AI cloud and modular data center company, priced its KOSDAQ IPO at 90,500 won after institutional orders of about 389 times the shares on offer, then closed its first day on Tuesday 32% lower. The plunge made headlines abroad. CoreWeave and Nebius traded more than 5% lower at one point the same day, and Jim Cramer pointed to the deal as the kind of flop that drags down other stocks, The Korea Times reported. The rebound drew far less attention. Elice gained 29.9% on Wednesday and 17.2% on Thursday and ended the week at 94,200 won, above its IPO price, about 53% above its first-day close and about 67% above its first-day low of 56,500 won. Its market value is about 1 trillion won, roughly $770 million, a fraction of the U.S. neoclouds it was being compared with. That a company this small could move sentiment in both markets, and that only its fall made the news, says a lot about how nervous AI investors have become.

Journey in Garret / Korea as a preview?

Elice's first week on the KOSDAQ

Closing price vs. the 90,500-won IPO price, Korean won

Closing price (won)
Hover, tap, or use ← → to inspect each observation.

The debut-day close is derived from the next day's reported gain. Intraday low on the first day: 56,500 won. Market value at the Oct 22 close: about 1.04 trillion won, roughly $770 million.

View the data table
DayClosing price (won)
Fri, Oct 2394,200
Thu, Oct 2293,600
Wed, Oct 2179,900
Tue, Oct 20 (debut)61,500
IPO price90,500
Sources: The Korea Times · Electronic Times (etnews) · Google Finance. Embedded data, prepared Oct 26, 2026; not a live feed.

Around the Market

Among the Magnificent Seven, Meta (−9.4%) and Alphabet (−6.0%) were the weakest for the week, and Tesla (+4.9%) and Apple (+1.2%) the strongest. The week's best performers among S&P 500 companies worth more than $50 billion were CrowdStrike (+13.3%), ServiceNow (+12.0%) and Palo Alto Networks (+11.3%). The security names were helped by a scramble to patch critical flaws in the PHP programming language, and ServiceNow by a higher Bank of America price target ahead of its report. The worst were Comfort Systems USA (−19.3%), Howmet Aerospace (−15.9%), Quanta Services (−13.5%) and Lam Research (−12.8%).

The week by theme · Oct 16 → Oct 23
S&P 500 (SPY) −0.43%
Chips and equipment
Megacaps
AI infrastructure
Software and security
Defensives
Energy and defense
Telecom
% change, Oct 16 close → Oct 23 close · closing prices · same scale in every panel

AT&T (−10.7%) and T-Mobile (−7.9%) had a rough week after SpaceX's results on Tuesday and a Bloomberg report on Thursday that it is seeking access to 80,000 U.S. cell sites. Crown Castle, one of the companies SpaceX approached, finished the week at +4.5%.

In commodities, gold ended the week −4.1% as the 10-year yield stayed near 5% and the odds of a December rate hike held around 80%. U.S. natural gas was −15.7%. The 10-year yield ended at 4.988%, 11 basis points lower for the week, and the VIX closed at 19.45. After Friday's close, Moody's kept France's rating at Aa3 with a negative outlook, when most analysts had expected a downgrade, Reuters reported.

Earnings season remains solid on the surface. With 24% of S&P 500 companies reporting, 83% have beaten profit estimates, but by an aggregate of only 2.1%, against a five-year average of 7.5%, FactSet reported. The blended growth rate for the third quarter is 29.5%, led by energy and technology.

My Take

The market is being careful this week for more than the hyperscaler reports. A hold at the FOMC is widely expected, but if the vote isn't unanimous, the market could have another fit. On July 29, when three officials dissented in favor of a hike, Forbes reported, the Nasdaq 100 closed −2.06%, even if a chip selloff was already under way that month. And nobody knows what Warsh will say at his press conference.

I keep thinking about 2018, Powell's first year as chair. Aggressive hikes, an escalating U.S.-China trade war and slowing growth at big tech were all in the background, but the trigger was Powell's Oct 3 comment that rates were "a long way" from neutral, CNBC reported. From that day's close at 2,925.51 to Christmas Eve, the S&P 500 ended at −19.6% and the Nasdaq Composite at −22.8%. Stocks only began to recover after Jan 4, 2019, when Powell promised the Fed would be patient, TechCrunch reported, and by the end of April the S&P 500 was 25% above its Christmas Eve low. I'm not saying Warsh will repeat that mistake, but with the market this nervous, there is no telling how his words will land, so caution is unavoidable.

The Week Ahead

The coming week brings three of the four largest AI spenders, Oracle's investor day, a Fed decision and the third-quarter GDP report. Dates and times are from company announcements and schedules compiled by StockTitan:

  • Monday, Oct 26: Verizon before the open. Cadence Design Systems and Nucor after the close.
  • Tuesday, Oct 27: Coca-Cola, Boeing, UPS, American Tower and PayPal before the open. Visa, Seagate, Baker Hughes and Teradyne after the close.
  • Wednesday, Oct 28: GE Vernova and Vertiv before the open. Oracle's investor day at Oracle AI World, webcast from 10:55 a.m. CT (11:55 a.m. ET), the company said. The Fed's decision at the end of the October 27-28 meeting at 2 p.m. ET. Alphabet, Microsoft, ServiceNow, T-Mobile, KLA and Fortinet after the close.
  • Thursday, Oct 29: Third-quarter GDP and September personal income and spending, including the PCE price index, at 8:30 a.m. ET, according to the BEA. Eli Lilly, Mastercard, Merck, Caterpillar and Quanta Services before the open. Amazon, Intel, Sandisk and Starbucks after the close.
  • Friday, Oct 30: Exxon Mobil, Chevron, AbbVie and Colgate-Palmolive before the open.

Fed funds futures put the odds of a hike at the October 27-28 meeting near 8% and the odds of at least one hike by December near 82%, based on an own calculation in the FedWatch style. For the hyperscalers, the key numbers are capital spending guidance for 2027, cloud growth against that spending, and any new detail on funding. For Oracle, investors will want to know how it plans to fund a build-out that has left its free cash flow at −$28.7 billion over the past 12 months.

Bottom Line

The AI bubble debate this week was really two debates. On valuations, the data do not show a bubble: tech's earnings estimates rose far faster than its stock prices this year, and its multiple is well below its own history. On capital spending and credit, the warning signs are real: Meta and Alphabet spent more than their operating cash flow in their latest quarters, some AI bonds trade like junk, Korea's chip-heavy market has already crashed, and U.S. margin debt has grown at a pace seen only before past tops.

Hedge funds took the hit first because they were crowded into the same trade, and the semiconductor index is now testing a line that has worked as support only when the demand cycle was still rising. Next week's reports from Microsoft, Alphabet and Amazon, along with Warsh's press conference on Wednesday, will say more about that cycle than any chart, and with Brent near $117, even the defensive sectors no longer offer much shelter if they disappoint.

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