The Nasdaq AI selloff intensified ahead of the June 27 close as investors cut exposure to megacap technology names, sending Nasdaq-100 futures down 1.24% to 29,357.00. The pressure was tied to two linked concerns: a reported delay to OpenAI’s expected public listing and mounting evidence that memory-chip costs are squeezing margins across the hardware industry.
That divergence was stark across the major U.S. benchmarks. While the Nasdaq Composite ended June 26 at 25,358.60, down 0.46% for a fourth straight loss, the Dow Jones Industrial Average added 71.72 points to 51,920.62 and briefly set a fresh intraday record. The S&P 500 was nearly flat, underscoring a market split between AI-heavy growth stocks and more defensive sectors.
Volatility also picked up quickly. The VIX rose 6.88% to 20.19, signaling a stronger bid for portfolio protection as traders reassessed whether the AI buildout can continue at the same pace if funding and component costs become less favorable.
Key Facts
- Nasdaq-100 futures fell 1.24% to 29,357.00, while Dow futures slipped only 0.13% to 52,270.00.
- Apple shares dropped 6.15% to $275.15 after the company raised prices on parts of its MacBook and iPad lineup.
- Micron posted adjusted earnings of $25.11 per share versus a $20.78 consensus estimate, reinforcing tight memory pricing.
- Sandisk surged 21.53% to $2,335.00 in premarket trading as investors favored memory suppliers over device makers.
- The Dow closed at 51,920.62 on June 26, up 0.14%, even as the Nasdaq Composite logged its first four-day losing streak since February.
Nasdaq AI Selloff
The latest leg down in technology stocks reflects a repricing of one of the market’s most crowded themes. For much of the past two years, investors treated artificial intelligence spending as a self-reinforcing cycle: large cloud and platform companies would spend heavily on infrastructure, public markets would reward that spending, and future IPOs would help validate lofty valuations across the ecosystem. A reported plan to push OpenAI’s listing toward 2027 challenged that assumption.
The issue is not only timing. If a marquee AI company struggles to secure support for a valuation target near $1 trillion, investors may begin to question how durable the funding backdrop is for the broader AI infrastructure wave. That matters for chipmakers, software platforms, hyperscalers, and hardware vendors that have all benefited from expectations of near-limitless capital expenditure.
At the same time, the cost side of the equation is becoming harder to ignore. Apple’s price increases across selected devices highlighted the impact of rising memory and storage costs on end-product pricing. When a company with Apple’s scale and pricing power raises prices because input costs are climbing, the market reads it as a signal that margin pressure is spreading through the supply chain. That pressure affects not just Apple, but also PC makers, smartphone vendors, enterprise hardware producers, and potentially data-center customers absorbing higher build costs.
What began as an AI growth story is increasingly becoming a margin story, with memory suppliers winning and device makers forced to defend profitability.
Why Micron’s Strength Cut Both Ways
Micron’s earnings were strong enough to confirm that memory pricing remains favorable for producers. The company’s adjusted profit of $25.11 per share, well above the $20.78 expected by analysts, supported the view that supply discipline has tightened the memory market. That helped lift memory-linked stocks including Sandisk, while also boosting sentiment around equipment and component names.
But the same result created a negative read-through for the rest of technology. If memory stays expensive, downstream buyers face a difficult choice: absorb the higher cost and accept lower margins, or pass it through to consumers and risk weaker demand. Apple’s move suggested that passing on costs is already underway. For investors, that means the AI trade is fragmenting into clear winners and losers rather than lifting the entire technology complex together.
Implications for Investors
For portfolios, the most immediate takeaway is that leadership within technology is narrowing. Companies directly exposed to favorable memory pricing or semiconductor equipment demand may continue to attract capital, while businesses that consume large volumes of high-cost components could face earnings pressure. This is especially relevant in cap-weighted indices, where a sharp move in stocks like Apple, Microsoft, Nvidia, Amazon, or Meta can disproportionately affect benchmark performance.
The broader market rotation also deserves attention. On June 26, six of the 11 S&P 500 sectors finished higher, led by industrials, healthcare, and materials. That pattern suggests investors are not exiting equities altogether, but shifting toward businesses viewed as less dependent on aggressive AI spending assumptions and external financing. The Dow’s resilience, even as the Nasdaq weakened, points to a market looking for cash flow, valuation support, and lower sensitivity to technology sentiment.
There are also macro signals worth monitoring. Falling crude prices, with WTI near $69 a barrel and Brent below $73, could ease inflation pressure at the headline level. However, higher volatility, uncertainty around the Federal Reserve’s policy path, and signs of weaker risk appetite across assets such as crypto indicate that investors are balancing disinflationary relief against concerns about growth and valuation. If rates remain elevated for longer than expected, richly valued AI-related equities may remain vulnerable to further multiple compression.
The next phase of this move will likely hinge on whether investors view the current weakness as a temporary shakeout or the start of a deeper reset in AI expectations. Watch upcoming earnings guidance, component pricing trends, and any fresh signals on large private-market listings, because those factors may determine whether the Nasdaq stabilizes or whether the rotation away from AI-heavy megacaps continues into the second half of 2026.
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