Markets

Nasdaq extends records as AI chip stocks surge: the numbers behind the rally and key names on traders’ radar

Semiconductors staged one of their strongest months in years, lifting the tech-heavy Nasdaq alongside earnings beats, AI capex optimism, and a sharp rebound from March’s chip selloff. Here are the index moves, market-cap milestones, and liquid names investors are tracking next.

Newsorga deskPublished 14 min read
Visual for Newsorga: Nasdaq and semiconductor rally context

The Nasdaq Composite and the broader technology trade have been trading at or near all-time highs into early May 2026, with semiconductor and AI-hardware names doing a disproportionate share of the lifting after a volatile first quarter. The narrative flipped quickly: March featured anxiety about hyperscaler spending and the durability of the AI build-out; April delivered a ferocious rebound in chip equities, feeding index-level records for the tech complex. This piece summarises the statistics that defined the tape and lists widely followed tickers readers may want to track in filings, earnings calendars, and macro data—not as a portfolio blueprint.

The cleanest single statistic for the chip cycle is the PHLX Semiconductor Sector Index, the Nasdaq-tracked gauge of 30 large U.S.-listed semiconductor names. According to CNBC’s reporting, the index fell about 6.3% in March as investors punished the sector amid AI-capex jitters, then surged about 35.2% from the start of April through the final sessions of the month—a round-trip that strategists described as historically rare. Bruce Bateman, chief analyst at Omdia, told the outlet the semiconductor tape was ‘nothing short of historic,’ invoking winning streaks not seen since the 1970s. That kind of language is hyperbolic by nature, but the magnitude of the move is what forced it: this was not a gentle mean reversion.

Company-level milestones anchored the index story. Nvidia, the largest single symbol in many growth indices, closed at a record that pushed its market capitalisation past the $5 trillion threshold ahead of its own earnings season, per CNBC’s market coverage—a figure that matters both psychologically and mechanically because passive funds and cap-weighted benchmarks must buy more shares as float-adjusted weight rises. Intel, long treated as a turnaround rather than a leader, delivered an earnings beat and guidance that triggered its strongest one-day gain since 1987, with the stock moving more than 20% in that session. Advanced Micro Devices and Micron Technology were cited among the U.S. names that surged alongside several European chip majors, signalling breadth rather than a one-stock AI meme.

Fund managers interviewed for the same reporting cycle pointed to three reinforcing drivers: renewed faith that AI infrastructure demand is translating into revenue and upward earnings revisions; a sense that winners are spreading ‘beyond just a few obvious AI winners’; and positioning ahead of possible supply-chain stress linked to the Middle East conflict, with some desks reportedly adding inventory or bookings in anticipation of disruption. Morningstar equity strategist Michael Field was quoted saying positive earnings surprises helped investors ‘get a better level of comfort’ with the scale of hyperscaler capital expenditure after February’s sharp AI-related selloff narratives.

The bullish case is not uncontested. The same CNBC coverage quoted BNY macro strategist Bob Savage noting that part of the rally reflected war-related ordering dynamics, while Bateman warned markets may be ‘overlooking a massive wall of physical reality’—from helium supply constraints relevant to manufacturing through delayed semiconductor deliveries and data-centre equipment bottlenecks such as transformers. That tension is what makes the Nasdaq’s record a story about prices today versus capacity tomorrow: indices can discount a smooth exponential; fabs, substrates, and power grids move linearly.

For readers building a mental model of ‘what to watch,’ liquid U.S. lines dominate flow. Nvidia (NVDA) remains the proxy for AI accelerator demand and CUDA software lock-in; AMD (AMD) has traded as a higher-beta ‘catch-up’ name when investors rotate within semis; Intel (INTC) is the restructuring and foundry narrative; Micron (MU) captures memory and high-bandwidth memory demand tied to training clusters; Broadcom (AVGO) blends custom ASIC opportunity with networking exposure; Marvell (MRVL) is often grouped with data-centre connectivity and custom silicon; Super Micro Computer (SMCI) maps to AI server assembly with historically elevated volatility; Arm Holdings (ARM) reflects licensing economics for efficient cores; onshore equipment and design-software names such as Applied Materials (AMAT), Lam Research (LRCX), KLA (KLAC), and Synopsys (SNPS) round out the cap-weighted ecosystem. Outside the U.S., Taiwan Semiconductor Manufacturing (TSM) is the foundry chokepoint and ASML (ASML) the lithography monopoly—both frequently move U.S. ADRs in sync with geopolitical headlines.

Macro inputs that can invalidate a chip rally faster than any single ticker include: U.S. real yields, dollar strength, export-control announcements affecting China sales, sudden shifts in cloud capex guidance, and any evidence that GPU lead times are normalising from scarcity to glut. Earnings dates for the Magnificent Seven and major hyperscalers still set the temperature for NVDA and friends: when Microsoft, Amazon, Alphabet, and Meta describe next-year AI spend, the SOX often reprices within hours.

Newsorga does not provide investment advice. The tickers above are cited because they are large, liquid components of the indices discussed in mainstream business reporting and because readers asked for a watchlist in journalistic context. Verify every figure against exchange timestamps, corporate filings, and primary sources before trading or publishing derivative analysis. We will update this article if major index vendors revise month-to-date returns or if benchmark compilers issue methodology notes affecting semiconductor weights.

Reference & further reading

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