The AI-driven chip stock rally is rapidly losing momentum. The Philadelphia Semiconductor Index has retreated approximately 19% from its June peak, teetering on the edge of confirming a bear market. Capital is beginning to flow out of high-valuation chip and memory stocks, shifting towards sectors like financials, retail, and transportation that are seen as more direct beneficiaries of economic resilience.
During Thursday's US trading session, the Philadelphia Semiconductor Index fell by 4.3%, with all 30 of its component stocks trading lower than their record highs set on June 22. According to Dow Jones Market Data, a further decline pushing the index 20% below its peak would officially confirm a technical bear market. On Friday, the sell-off spread to Asian and European markets, with Japan's Nikkei 225 index closing down 4%. Companies like Taiwan Semiconductor Manufacturing Company (TSMC), Kioxia, and European chip equipment maker ASML were all under pressure.
Reversal of AI Trade Weighs on Global Sentiment
The reversal in the AI trade is dampening global risk appetite. The Philadelphia Semiconductor Index is on track for its worst weekly performance since last year's 'tariff day' shock, having declined 8.5% this week. Nasdaq 100 futures fell 1.6%, and S&P 500 futures dropped 0.9%, as concerns simultaneously mounted over the return on AI infrastructure investment, inflation risks, and the outlook for monetary policy.
A Goldman Sachs trading head likened the current AI market to a "rubber band" being stretched. As hyperscale cloud companies continue to ramp up capital expenditures, the key market question has shifted from "how large is the investment?" to "when and how will these investments translate into returns?" Upcoming earnings from major tech companies may serve as the first critical test for this logic.
From Profit-Taking to Broad-Based Cooling
Chip stocks were among the most sought-after trades this spring. As investors grew concerned that the "Magnificent Seven" would bear most of the costs for building AI data centers, capital chased chipmakers, memory, and semiconductor equipment companies, betting they would be direct beneficiaries of the capital expenditure cycle.
However, this trade is reversing quickly. As of Thursday, the Philadelphia Semiconductor Index was down 19% from its all-time high on June 22. The index fell 4.3% that day, bringing it within a hair's breadth of the 20% decline threshold that confirms a bear market.
Individual stock moves have been even more volatile. Marvell Technology has fallen nearly 40% since the semiconductor index peaked but remains up 121% year-to-date. This reflects that the current adjustment is more concentrated in AI beneficiaries that saw outsized gains, as investors reassess whether high-growth expectations have been fully, or even excessively, priced in.
In Thursday's US market, Sandisk, Western Digital, and Seagate all fell more than 9%, while Intel and Micron dropped around 6%. The decline continued in Asian markets on Friday, with Japanese memory chipmaker Kioxia falling over 16% at one point, now more than 50% below its June high. TSMC shares also declined significantly.
Strong Earnings Face Scrutiny on Sustainability
The chip sector is not facing a short-term earnings collapse. FactSet data shows the market expects S&P 500 component earnings to grow 23.6% year-over-year in Q2, while earnings for the semiconductor and related equipment industry are forecast to surge a staggering 131%.
The question is whether robust current earnings are enough to support valuations that already reflect years of growth expectations. A market strategist noted that while tech companies may post impressive results, the market is questioning whether this growth can be sustained over the next one to three quarters.
TSMC's performance highlights this contradiction. Despite reporting record quarterly profits, its shares weakened notably this week. Reports indicate the stock fell over 7% on Friday. The fact that better-than-expected earnings failed to support the price shows the market's focus has shifted to order sustainability, returns on capital expenditure, and the growth trajectory of AI demand, rather than a single quarter's profit.
The head of macro research at a major financial research firm suggests the sharp correction in chip stocks may not necessarily be a severe warning signal. Over the past decade, the Philadelphia Semiconductor Index has experienced six pullbacks exceeding 20% and 31 adjustments of at least 10%, indicating significantly higher volatility than the S&P 500. However, frequent adjustments also mean the sector is highly sensitive to changes in valuation, inventory cycles, and capital expenditure expectations.
Capital Rotation Towards Cyclical Sectors
As chip stocks face pressure, a clear rotation of capital is occurring within the US market. The financials sector hit a closing high for a second consecutive day on Thursday, driven by strong bank earnings. The Dow Jones Transportation Average is up over 30% year-to-date, nearing a record high, and a retail ETF is also trading near its highest level since early 2022.
The chief investment officer of a major asset manager stated that broadening market participation is a healthy sign, and recent employment and retail sales data indicate the economy remains resilient. The flow of funds from high-valuation tech sectors to financials, consumer, and transport areas suggests investors are not fleeing risk assets entirely but are reallocating towards assets more sensitive to economic growth.
This rotation also diminishes the previous relative advantage of chip stocks. When the economic outlook remains stable, investors have more options and are less compelled to concentrate bets on the highest-valued and most crowded names in the AI infrastructure chain.
Goldman Sachs Warns of AI Investment Tension
Senior executives from Goldman Sachs' EMEA equity business argue that the mismatch between AI infrastructure investment and commercial returns is becoming a core risk variable for the market.
They note that hyperscale cloud companies like Microsoft, Amazon, Alphabet, and Meta are investing in AI infrastructure at a pace that exceeds the growth rate of their own operating cash flow. However, there remains significant uncertainty about how much revenue, profit, and cash return these investments can generate in the near term.
One executive described the AI market as a "rubber band," emphasizing that the key issue is not whether the market remains bullish on AI's long-term direction, but how long this stretch in valuation and capital expenditure can continue. Goldman also observes that the rapid proliferation of frontier models and declining inference costs could shift value within the AI chain: the scarcity premium for hardware and computing power may decrease, while platform companies controlling distribution channels and workflows could capture more value.
If any of the hyperscalers were to cut capital expenditure plans first, the market could quickly reassess demand expectations for the entire AI hardware ecosystem, triggering broader ripple effects.
Earnings Season as a Crucial Test
The market's focus now turns to earnings reports and capital expenditure guidance from major tech companies. Alphabet and Tesla are scheduled to report on July 22nd. Their commentary on AI investment, data center build-outs, and commercial progress could influence whether the chip sector finds a floor.
In the near term, the chip sector's high earnings growth still provides some valuation support, but the market is no longer satisfied with "high growth" alone. Investors need to see AI investments translating into improved revenue, margins, and cash flow. They also need confirmation that hyperscalers' capital expenditure will not slow due to financing pressures, resurgent inflation, or disappointing returns.
Whether the Philadelphia Semiconductor Index officially falls into a bear market may be just a technical demarcation line. For the broader market, a more important line exists: whether the AI trade can transition from pre-paying for years of future growth to validating a realistic path to returns.
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