The semiconductor sector experienced significant volatility in early June. During pre-market trading on June 5, AI-related stocks such as Broadcom, Micron, AMD, and NVIDIA faced a wave of sell-offs, deepening losses across the industry. In the first week of June, the SOXX ETF dropped about 6% in a single day. By June 9, the ETF had fallen another 10% to around $540, marking its worst single-day performance in recent years. The catalyst for this correction was clear: Broadcom’s (AVGO) AI chip revenue guidance for fiscal year 2026 fell short of market expectations.
However, a closer look at the data reveals that the sell-off was driven more by an adjustment in expectations than by any structural shift in AI chip demand.
AI Chip Demand Fundamentals: Insights from Broadcom’s Data
Broadcom’s Q2 fiscal 2026 earnings report, released on June 3, provided a direct window into market dynamics. Total revenue for the quarter reached $22.2 billion, up 48% year-over-year, with a record operating margin of 67%. AI semiconductor revenue soared to $10.8 billion, a 143% increase, and AI semiconductor orders exceeded $30 billion for the quarter—far above the $10.8 billion in actual shipments.
Broadcom CEO Hock Tan’s comments on the earnings call were telling: AI semiconductor demand is "simply insatiable." Looking ahead to Q3, the company expects AI semiconductor revenue to reach $16 billion, up over 200% year-over-year. For the full fiscal year 2026, Broadcom forecasts $56 billion in AI semiconductor revenue, representing about 180% growth over the roughly $20 billion expected in fiscal 2025.
Why did the market still sell off? The main reason is that Broadcom’s $56 billion full-year AI chip revenue guidance was below the market consensus of $57.6 billion—a gap of about 2.8%—which triggered a correction in sentiment. Goldman Sachs subsequently released a report offering a more comprehensive perspective: the bank adjusted its AI semiconductor revenue forecasts for fiscal years 2026–2028 to $57 billion, $133 billion, and $193 billion, respectively, and noted that the slightly lower Q3 guidance was mainly due to delays in new customers ramping up production, not weakening demand.
Goldman emphasized that Broadcom maintained its core projection that AI semiconductor revenue in fiscal 2027 would "well exceed $100 billion," supported by six major custom chip clients—including Google, Meta, Anthropic, OpenAI, and two unnamed customers—with secured purchase orders totaling $6 billion.
Wall Street’s consensus on this trend suggests that current market pricing discrepancies are not due to a disconnect between supply and demand fundamentals, but rather a mismatch between short-term expectations and long-term realities. Goldman also highlighted that Broadcom has secured all the component supplies needed to meet its 2027 revenue forecast—including memory, lasers, and packaging—at a time when supply chain tightness is intensifying across the board. In other words, the real constraint in the AI chip sector lies on the supply side, not the demand side.
Semiconductor ETFs and Individual Stocks: A Correction in Perspective
As of early June, the SOXX ETF (iShares Semiconductor ETF) had posted a year-to-date gain of about 90%, far outpacing the S&P 500’s return of roughly 22% over the same period. This means that even after the pullback in early June, the semiconductor sector nearly doubled in the first half of 2026. While this volatility resembles past growth-driven bubbles, there are key differences.
SOXX’s portfolio composition has shifted noticeably. As of early June, its top three holdings were Micron, AMD, and Marvell. Due to an 8% cap on individual holdings, NVIDIA is no longer the largest component. This structural change reflects a market narrative shift from GPU compute power to bottlenecks in memory and CPU inference—a transition that aligns with the evolving logic of the AI supply chain.
On June 8, BTIG strategist Krinsky noted that SOXX still had about 14% to 17% downside relative to its 50-day moving average, suggesting the market was undergoing a normal correction to digest excess gains.
Looking at individual stocks, AMD closed at $511.57 on June 12, up 4.73% for the day. Intel rose 6.51% to $124.57, while Micron fell 1.43% to $981.61. This divergence in performance reflects sector rotation within the group and highlights investors’ differentiated pricing of supply and demand across various sub-segments.
Storage Chip Revaluation: Micron and the HBM Strategic Upgrade
Amid the sector’s turbulence, the structural value of memory chips—especially high-bandwidth memory (HBM)—is being redefined. Traditional DRAM and NAND markets have long suffered from cyclical price swings, but HBM, as an essential component for AI accelerators, has fundamentally changed pricing dynamics. Every Nvidia GPU requires HBM, and only three companies worldwide—SK Hynix, Samsung Electronics, and Micron—can produce HBM at scale.
Micron’s Q2 fiscal 2026 results confirmed this thesis. Quarterly revenue reached $23.86 billion, up about 196% year-over-year. Non-GAAP EPS was $12.20, up 682%, both metrics far exceeding market expectations. DRAM revenue climbed to $18.8 billion, and NAND revenue hit $5 billion, reflecting robust demand for AI infrastructure. Non-GAAP gross margin expanded to 75%, and adjusted free cash flow reached $6.9 billion—surpassing Micron’s total revenue for all of fiscal 2024.
On the stock front, Micron hit an all-time high of $1,089.29 on June 3, up about 250% year-to-date and delivering a 760% total return over the past 12 months—ranking in the top 1% of all Nasdaq-listed stocks.
Wall Street’s leading firms have responded with higher price targets. Goldman Sachs raised its 12-month target for Micron from $400 to $900, while Wolfe Research pushed it even higher to $1,250. Goldman’s core thesis is that tight supply-demand dynamics in DRAM and NAND will persist through 2027, driving sustained price and margin expansion.
Notably, Micron’s entire HBM production for 2026 has already sold out, providing a stable and predictable revenue base. For the upcoming Q3 report on June 24, the market expects revenue of about $34.4 billion, while Goldman forecasts $37.6 billion—implying roughly 9% upside surprise. If realized, this would further cement storage chips’ transition from "optional components" to "strategic assets" within the AI supply chain.
From Supply-Demand Imbalance to Trading Tools: The Value of Gate’s Stock Contracts
Against this backdrop, investors face a key challenge: how to efficiently participate in the AI chip sector. Traditional brokerage account opening is cumbersome, moving funds between accounts is inefficient, and managing combined exposure to both crypto and equities can be complex. Gate’s launch of stock trading on June 12, 2026, offers a new solution. The platform enables direct USDT trading of major stocks and ETFs—including Micron (MU) and Samsung Electronics. The stock contracts section supports perpetual contracts settled in USDT.
For traders focused on AI chip supply and demand, this tool offers three key advantages: First, using USDT as the settlement currency allows crypto-native capital to access the stock market without fiat conversion, reducing friction. Second, perpetual contracts’ two-way mechanism lets investors go long during sector rallies or hedge risk by shorting during volatility. Third, the platform’s leveraged ETF tokens provide additional exposure tools for investors with varying risk appetites.
Gate’s unified account system for crypto and stocks means investors can manage cross-asset allocation and risk from a single dashboard.
The Other Side of the Data: The Real Mismatch in the AI Chip Market
Synthesizing the above data reveals several key structural features of the AI chip market. Goldman Sachs’ December 2025 field research on 24 core Asian supply chain firms indicates that AI server demand is expected to remain strong in 2026, with full-rack shipments potentially doubling and ASIC chip shipments growing even faster than GPUs. Broadcom’s Google TPU chips are among the most in-demand ASICs, and demand for optical communications is surging as speeds transition from 800Gb to 1.6T.
In contrast, traditional end markets present a very different picture. Goldman forecasts that the PC market will see only minimal unit growth or a slight decline in 2026, with smartphones facing similar challenges—high-end models remain stable, but the low-end segment is under significant pressure from rising costs. Automotive analog and RF chip demand remains weak.
This "AI boom, traditional weakness" dichotomy means that different parts of the supply chain are being repriced to varying degrees. Companies in core AI segments such as HBM, ASIC custom chips, and optical communications are seeing their valuations break free from traditional semiconductor cycle frameworks, while those reliant on consumer electronics and automotive recovery face longer-term uncertainty.
Semiconductor wafer equipment spending is expected to grow steadily from 2026 to 2027, driven mainly by DRAM and advanced logic processes. NAND equipment spending remains sluggish, and mature-node logic continues to face headwinds. This structural divergence in capital expenditure provides a useful framework for assessing the relative outlook of different sub-sectors over the next two to three years.
Conclusion
The volatility in the semiconductor sector during the first half of June 2026 was, at its core, a short-term recalibration of sky-high expectations. The roughly 2.8% gap between Broadcom’s full-year guidance and market forecasts, the SOXX ETF’s near-90% rally followed by a technical pullback toward its 50-day moving average, and the 14% to 17% additional downside noted by BTIG’s strategist—all contribute to the current phase of market repricing. Yet, all these adjustments are occurring against a backdrop of continued expansion in overall AI chip demand. Micron has sold out its full-year HBM capacity, Broadcom has secured the supply needed for its $100 billion-plus 2027 revenue target, and Goldman’s tracking confirms robust AI server growth in 2026—none of these fundamental signals have reversed direction.
For investors, the key to understanding the AI chip market is distinguishing short-term price signals from long-term structural trends. The launch of Gate’s stock contracts section provides a real-time, cross-asset trading tool that enables investors to manage both crypto and semiconductor stock exposure on a single platform—something traditional brokers can’t offer. As the long-term logic of AI infrastructure build-out continues to compete with short-term market corrections, every data point—from Broadcom’s guidance and SOXX’s trajectory to memory pricing and ASIC production ramps—should be systematically tracked within a supply-demand framework, rather than interpreted through the lens of isolated events.
