The most striking catalyst came on July 7, when Samsung Electronics reported what would be the best quarter in its history: an operating profit of approximately $58.4 billion (89.4 trillion won), a year-over-year increase of more than 1,800% . Despite this record profit — which surpassed both Nvidia and Apple — Samsung's stock fell 8%. The results failed to clear Wall Street's elevated AI-driven bar, triggering a "buy the rumor, sell the news" wave that hit the entire semiconductor sector
.
Multiple other factors amplified the selling pressure. South Korean regulatory changes forced leveraged unwinds in major memory stocks, exacerbating the decline . Meanwhile, a Goldman Sachs client note revealed that U.S. hedge funds had sold tech hardware stocks for a fourth consecutive week heading into earnings season, indicating institutional de-risking before the selloff accelerated
.
The rout began in Asian markets on July 2. Samsung and SK Hynix plunged 7–9% in a single session, dragging South Korea's Kospi index down nearly 8% . Japan's Nikkei fell 2.8% and Taiwan's market dropped more than 6% as TSMC shares were hammered
. From there, the contagion spread to Europe and the United States. By July 17, the global rout was broad and coordinated: Taiwan and Japan bore the brunt, while U.S. Nasdaq futures slid 0.7% in pre-market trading
. The weakness cascaded from Asian memory makers to U.S. AI leaders, with Nvidia, AMD, Micron, Intel, and SanDisk all extending losses as "weak sentiment from Asia spilled over to Wall Street"
.
The selloff was both broad and deep. The SOX itself fell roughly 19–20% from its June 22 record high by mid-July . Among individual stocks, Intel cratered 21% in seven trading days
. Micron dropped 17% from its $1,213 peak
. On July 2 alone, SK Hynix fell 9% at the open and finished the session down 14.57%
. AMD fell 7–8% in single sessions
, while Nvidia extended its downtrend in pre-market sessions
.
Most significantly, the three largest global memory names — Micron, SK Hynix, and Samsung — each fell more than 20% from their recent highs, officially entering bear market territory on the same day Samsung reported its best quarter ever . Semiconductor stocks in total lost roughly $1.5 trillion in market value from June 25 to July 7 alone, according to one estimate
.
The July 2026 selloff became a textbook case study of "buy the rumor, sell the news." Markets had priced in perfection: the AI demand narrative that had driven the SOX to all-time highs was fully discounted, so even blowout numbers triggered profit-taking . Samsung delivered record profits exceeding both Nvidia and Apple, yet shares dropped 8% because investors were already looking past current results toward slowing memory price growth and peak-cycle concerns
. TSMC reported 77% earnings growth that similarly "failed to impress investors," with its shares sinking 4% the same day
.
Underpinning the entire selloff was a growing unease about the sustainability of massive AI-related capital expenditures by hyperscalers (Meta, Microsoft, Amazon, Google). These companies had collectively committed hundreds of billions to AI infrastructure. Meta alone signed $107 billion in new compute contracts, and the scale of planned capital expenditure drew comparisons to past tech bubbles .
Investors began questioning the "longevity of the AI capex boom," asking whether the massive spending on GPUs and data centers would translate into proportional revenue growth . The fear was that hyperscalers were building capacity far ahead of actual demand. Meta's idle compute announcement — originally a straightforward plan to monetize spare capacity — was reinterpreted through this lens as evidence that even the biggest spenders were unsure of utilization rates, directly feeding the overcapacity narrative that triggered the initial selloff
.
Multiple sources described the selloff as driven not by falling demand but by "a combination of profit-taking and skepticism about the sustainability of unprecedented AI capital investment" . In effect, the SOX bear market represented a repricing of the probability that hyperscaler capex would deliver the returns the market had assumed.