● Faked Bounce

“Do Not Be Fooled by the Fake Rebound” Five Core Views Wall Street Has on the Semiconductor Selloff

This semiconductor selloff should be seen not as a simple correction, but as a complex event in which the AI investment cycle, leveraged ETF liquidations, data center power bottlenecks, Big Tech CapEx, and inflation indicators have become intertwined all at once.
In particular, the fact that the Philadelphia Semiconductor Index plunged 12% in a single day and then managed only a 4% rebound is a sign that the market still has not become convinced of a “V-shaped recovery.”
On the surface, AI semiconductor-related stocks such as Nvidia, AMD, Micron, and Arista rebounded, but underneath, a structure is at work in which forced selling from leveraged ETFs and hedge fund liquidation is shaking market prices even more.
In this article, we will organize Wall Street’s reaction into five points and separately highlight the real core point that many news reports overlook: “rising bargaining power for companies that secure power.”

1. Semiconductor index drops 21.8%: why this decline is especially severe

Over the past five trading days, the semiconductor sector has fallen by about 21.8%.
That scale of decline is historically very large.
Compared with the roughly 20% drop during the dot-com bubble, the roughly 20% drop during the 2008 financial crisis, and the roughly 19% drop during the 2020 COVID pandemic, this decline is quite severe.

• The Philadelphia Semiconductor Index plunged about 12% in a single day, marking its worst drop in six years.
• The next day, the semiconductor index rebounded about 4%, but that was far from enough to recover the previous day’s losses.
• The Nasdaq rose about 1% and the S&P 500 about 0.3%, but it is hard to say the market as a whole felt relieved.
• Nvidia and AMD, the 대표 AI semiconductor stocks, rebounded, but they could not fully reverse the impact of the selloff.

The important point here is that “a 4% rebound after a 12% drop” may look like a recovery numerically, but in reality it is closer to a technical bounce.
For example, if something falls 12% from 100, it becomes 88.
Even after a 4% rebound from 88, it is only about 91.5.
In other words, the chart may turn green, but investors’ accounts are still left deep in the loss zone.

2. Wall Street reaction ① “This rebound may still be a fake rebound”

What Wall Street is most wary of is the strength of the rebound.
In a normal V-shaped recovery, strong buying should emerge that recovers a substantial portion of the previous day’s losses.
But this rebound was limited to about 4% on the Philadelphia Semiconductor Index basis.

AMD, in particular, rose about 11% and showed strength, but that also reflected a technical rebound in a stock that had fallen sharply.
Nvidia and Broadcom had fallen relatively less, so their rebound was also limited.
Marvell also saw only a limited rebound after a large drop, and some interpret the stock as being pressured by the share-swap acquisition structure with Lumentum.

• AMD’s rebound was largely a relief rally after an excessive decline.
• Nvidia and Broadcom were relatively defensive, but they could not stop the market-wide unease.
• Marvell may face stronger selling pressure in a down market because of the share-swap structure with Lumentum.
• Investor sentiment toward semiconductor stocks remains closer to caution than recovery.

In the end, Wall Street’s first reaction is clear.
“A rebound has appeared, but it is still hard to call this a trend reversal.”

3. Wall Street reaction ② Leveraged ETFs amplified the decline

The most important structural factor in this selloff is leveraged ETFs.
The original text mentions that this week saw about $60 billion in selling pressure from leveraged ETFs.
A representative example is SOXL, the 3x leveraged semiconductor ETF.

A 3x leveraged ETF must adjust its exposure to three times the underlying asset at each day’s close.
If prices fall, the ETF must sell holdings to maintain the 3x ratio.
That selling pushes down the underlying stock prices again, and the lower prices then trigger additional ETF selling.
This is the structure commonly referred to in markets as the “tail wagging the dog” phenomenon.

• Semiconductor stock prices fall → leveraged ETF exposure must be adjusted
• The ETF sells underlying stocks → semiconductor prices fall further
• Additional declines → more rebalancing sales are triggered again
• Losses widen for both individual stock investors and leveraged investors

According to JPMorgan estimates, about 90% of the sold equity exposure was in technology stocks.
This means it was not just the broader market that fell, but that growth-stock positions centered on AI and semiconductors were aggressively unwound.

Korea’s market has a similar structure.
The more leveraged products tied to Samsung Electronics and SK Hynix there are, and the higher the margin financing positions, the greater the selling pressure can become in a downturn.
That is part of the background behind talk of easing collateral rules at some securities firms.
However, while easing collateral requirements may help stabilize the market, it also carries the risk of encouraging more retail debt-fueled investing.

4. Wall Street reaction ③ The Microsoft neocloud contraction story is only half right

One of the news items that poured cold water on the semiconductor rebound was the possibility that Microsoft would reduce its neocloud contracts.
The market interpreted this as meaning, “Has AI data center demand started to weaken?”
But if you look closely, it is a bit different.

Microsoft spent about $45.2 billion in the previous quarter, including capex and finance leases.
Because that was lower than the market expectation of about $50 billion, it actually had a positive effect on the stock at the time.
However, Microsoft also indicated that it could increase AI-related CapEx in the next fiscal year.
In other words, it is too much of a stretch to say AI spending is slowing down.

The issue in this case is that the GPU used in Oracle’s neocloud infrastructure was an older A100 series chip.
The A100 is an Nvidia Ampere-generation product.
The current AI training and inference market is moving toward Hopper, Blackwell, and later Vera Rubin generation chips.
From Microsoft’s perspective, A100-based infrastructure likely did not fit well with its current tech stack and efficiency needs.

• The core issue may be an older-GPU efficiency problem, not a collapse in AI demand.
• Oracle countered that demand for A100 remains strong and prices are still rising.
• Even older GPUs still have use cases in inference, certain workloads, and cost-sensitive customers.
• The market sold off the entire semiconductor sector based only on the headline.

So this news is better understood not as “the AI data center era is over,” but rather as “AI infrastructure is entering a faster generational transition.”

5. Wall Street reaction ④ CoreWeave’s corporate bond yield sends a warning signal

In this market, CoreWeave-related news also emerged as an important warning sign.
The coupon on CoreWeave’s 2032-maturity corporate bond is 9.625%.
But the market yield has risen to around 16%.

A coupon rate is the interest rate promised when the bond is issued.
For example, if you bought a 1 million won bond with a 9.625% coupon, you would receive about 96,250 won in annual interest.
But market yield reflects the current bond price and future cash flows.
If the bond price falls to 80 instead of 100, investors can expect not only interest but also capital gains from recovery at maturity, which is why the yield rises.

The problem is that a high yield is not always a good sign.
A large discount in bond price can mean the market is assigning a higher level of credit risk, or default risk, to the company.

• CoreWeave is a representative company in AI cloud and GPU infrastructure growth.
• But large-scale data center investment requires enormous debt and upfront spending.
• Soaring corporate bond yields often send warning signals before the stock market does.
• For AI infrastructure companies, you have to look not only at revenue growth but also at financing costs.

When looking at AI companies in the U.S. stock market now, it is no longer enough to ask simply whether they have a lot of GPUs; you also need to ask “At what interest rate were those GPUs financed, and can the company handle it with cash flow?”
This is likely to become a core variable in the next phase of the AI investment cycle.

6. Wall Street reaction ⑤ Data center delays are bad news, but may be good for companies with power

Morgan Stanley mentioned a data center delay risk of about 12 gigawatts through 2030.
But the important word here is “delay,” not “cancellation.”

Given that the amount of data center construction planned or in progress by 2030 exceeds 100 gigawatts, a 12-gigawatt delay is certainly meaningful, but it is hard to describe it as enough to collapse the entire market.
From the perspective of the original text, the share of data center capacity actually exposed to risk can be interpreted as roughly 4%.

• There is analysis that there may be no major problem until 2027.
• Starting in 2028, delay risk of about 4.9 gigawatts is being discussed.
• By 2029 and 2030, cumulative delays could expand to about 12 gigawatts.
• But this is closer to a bottleneck from permitting, grid constraints, and local regulation than to demand disappearing.

Texas governor-elect Gina Hinojosa also made comments to the effect that data centers are not being excluded, but only temporarily paused until safeguards are in place.
That statement can be read as an attempt to calm market anxiety.

This is where a truly important investment idea emerges.
The longer data center construction is delayed, the stronger the bargaining power of companies that have already secured power may become.
IREN, Nebius, and CoreWeave are cited as representative examples.

7. The core point other coverage often misses: “In a market where power wins, companies with power hold the upper hand”

A lot of coverage focuses on the semiconductor plunge, Nvidia’s correction, and the AI bubble debate.
But the more important core point is that the bottleneck for AI data centers is shifting from GPUs to power.

One especially notable part of the original text is that, for new GPU purchases, customers reportedly agreed to make up to a 90% upfront payment.
If building a 1-gigawatt data center costs about $50 billion, a 90% upfront payment means the customer is effectively covering about $45 billion in advance.
This is not just an order.
It means infrastructure companies that have secured power are now able to tell customers: “We may not have much money, but we have the power. If you really want this, pay first.”

• The key bottleneck in AI data centers is shifting from GPU supply to power access.
• Neocloud companies that secure power can gain upfront payments, long-term contracts, and stronger pricing power.
• Data center delay news is a source of anxiety for the overall market, but it can be a premium factor for companies with power.
• AI infrastructure investing now requires looking not only at semiconductor stocks, but also at the grid, real estate, financing costs, and local regulation.

This is the least discussed but most important part of the selloff.
The market hit all AI-related stocks at once yesterday, but the actual fundamentals may diverge greatly by company.
Companies without power face financing pressure, while companies with power can grow by receiving customer upfront payments.
Even within the same AI infrastructure sector, the market is entering a phase where winners and losers are separating.

8. Points Korean investors should be especially careful about

This U.S. semiconductor selloff directly affects the Korean market as well.
Taiwan’s Taiex fell about 11% over the week, and volatility in the Korean market rose, centered on Samsung Electronics and SK Hynix.
Semiconductors are a key sector that affects Korean exports, the won, foreign investor flows, and the direction of the KOSPI.

• Samsung Electronics and SK Hynix are sensitive to the global memory cycle and AI server demand.
• A sharp fall in U.S. semiconductor stocks can also weigh on demand for Korean semiconductor megacaps.
• The higher the share of leveraged ETFs and margin financing, the faster losses can widen in a downturn.
• If the exchange rate becomes unstable, foreign selling pressure can increase further.
• If the interest-rate outlook and inflation indicators worsen, valuation pressure on growth stocks can rise again.

From an individual investor’s perspective, instead of assuming “it fell a lot, so it must be cheap,” it is important to distinguish whether the cause of the decline is earnings deterioration, position liquidation, or interest-rate pressure.
In particular, leveraged products may look attractive in a rebound, but in a selloff their compounding structure can make recovery much harder.

9. Key upcoming events the market will need to verify

After this selloff, the market is likely to check three things in the short term.
First is the inflation data.
Second is the earnings of AI infrastructure companies.
Third is Big Tech’s capital spending plans.

• The October CPI release could have a direct impact on the market’s interest-rate outlook.
• Because PPI came in higher than expected, there is concern that CPI could also be elevated.
• If CPI exceeds expectations, additional pressure could build across U.S. growth stocks.
• CoreWeave’s third-quarter results will be a key event for confirming the financing and demand for AI cloud companies.
• Nebius earnings could also serve as an indicator of whether neocloud demand is actually holding up.

In the end, the market is moving from asking “Has AI demand weakened?” to asking “Does the financial structure and power infrastructure exist to support that demand?”
This shift could change the valuations of semiconductor stocks, AI data centers, cloud companies, and power infrastructure companies in different ways going forward.

10. Conclusion from an investment perspective

This semiconductor rebound is still not reassuring.
A 4% rebound after a 12% one-day plunge looks closer to a technical bounce than a trend reversal.
It is also possible that forced selling from leveraged ETFs and hedge fund liquidation unnaturally shook the market.

That said, it is also hard to say the AI industry itself is over.
Microsoft’s neocloud reduction issue may be closer to an efficiency problem with older A100 GPUs, and the data center delays are more likely a problem of power and permitting bottlenecks than of collapsing demand.
In fact, companies that have secured power may be able to gain even stronger bargaining power through customer upfront payments and long-term contracts.

So the most important question when looking at the market now is this.
“It is not whether AI demand exists or not, but who has the power and financing capacity to turn that demand into actual revenue.”

Semiconductor stocks remain at the center of the long-term growth theme, but in the short term, we need to watch U.S. market volatility, inflation, interest-rate expectations, leveraged liquidation, and AI data center delay risks together.
Right now, more than aggressive chasing, it seems more important to examine each company’s financial structure and contract structure.

< Summary >

The semiconductor sector fell about 21.8% over five trading days, entering a historic correction zone.
The Philadelphia Semiconductor Index plunged 12% in a single day and then rebounded 4%, but it is still hard to call it a V-shaped recovery.
This decline was amplified by leveraged ETF rebalancing, hedge fund liquidation, and concentrated selling in technology stocks.
The Microsoft neocloud contraction story may be more about older A100 GPU efficiency than about a collapse in AI demand.
CoreWeave’s soaring corporate bond yields show the financing risk facing AI infrastructure companies.
Data center delays are bad news, but for companies that have secured power they may actually improve bargaining power.
Going forward, we need to watch CPI, the interest-rate outlook, CoreWeave and Nebius earnings, and Big Tech CapEx plans.
The core point is not AI demand itself, but who can turn that demand into actual revenue through power access and financing capacity.

[Related Articles…]

• The New Investment Landscape Created by AI Data Center Power Bottlenecks
• Checking the Semiconductor Cycle and U.S. Market Volatility

*Source: [ 월텍남 – 월스트리트 테크남 ]

– “가짜 반등에 속지마라”..월가 반응 5개 정리

---