Chip Stocks Soared 70%+ in April. Have They Gone Too Far?

Semiconductor stocks surged in April, led by Intel up 114%, Astera Labs up 78%, AMD up 74%, Marvell up 67%, and Micron up 53%, while NVIDIA and Applied Materials rose only 14% to 15%. The bullish case centers on strong Q1 earnings growth of about 29% overall and more than 40% for tech, plus roughly $700 billion in hyperscaler data center spending driving chip demand. Bears argued the sector is overbought after 60% to 70% monthly gains, with NVIDIA facing competitive risks from Alphabet’s TPUs and Amazon’s Trainium chips.

Analysis

The tape is telling us this is no longer a pure AI-demand trade; it has become a dispersion trade inside semis, where higher-beta balance-sheet stories are being re-rated faster than the incumbents. That usually happens when liquidity and momentum dominate fundamentals for a few weeks, but it also creates a second-order setup: the suppliers of picks-and-shovels and the “AI toll collectors” can underperform if investors rotate into the names with the most operating leverage to a turnaround narrative. The fact that the biggest winner is also the most challenged legacy franchise suggests the market is paying up for optionality, not just earnings power.

The real risk over the next 2-8 weeks is not that AI spending disappears, but that expectations get too far ahead of 2Q guideposts. If hyperscaler capex remains high but decelerates at the margin, the market will punish any name whose multiple already embeds perfect execution; that is especially relevant for the highest-duration chip leaders. Conversely, the more “reasonable” valuation cases can keep grinding higher if margins inflect and guideposts hold, because they offer a cleaner earnings-visibility story with less narrative fragility.

The competitive angle is that custom silicon from the hyperscalers is a longer-cycle threat than a near-term share loss event. The market may be underpricing the rate at which internal chips become good enough for constrained workloads, which could pressure the top-end pricing power of the dominant AI accelerator ecosystem over 12-24 months. At the same time, energy availability is a genuine long-horizon constraint, but it is not a tradable catalyst this quarter; near term, the binding constraint is investor positioning, not power supply.

Net: this is likely an earnings-plus-flows rally that can continue, but only selectively. The names with improving fundamentals and less crowded positioning should still work, while the most consensus AI leaders are vulnerable to a sharp de-rating if capex growth or gross-margin commentary disappoints by even a little.

Key Decisions for Investors

• Long MU vs short NVDA into the next 4-6 weeks: MU has cleaner valuation support and visible near-term earnings leverage, while NVDA is more exposed to any marginal capex slowdown or custom-silicon headline risk. Target a 1.5-2.0x downside-to-upside asymmetry if the market rotates from momentum to fundamentals.
• Buy INTC on pullbacks only, using a 3-6 month horizon: this is a high-beta turnaround trade, but it has the best reflexivity if investors keep rewarding surprise beats. Size modestly; trim aggressively if the move is not followed by upward estimate revisions within one quarter.
• Use call spreads on AMD or MRVL rather than outright longs, 1-2 month tenor: the trade is that the market keeps paying for earnings leverage, but these names are vulnerable to violent givebacks if breadth narrows. Spreads cap premium bleed if the momentum stalls.
• Fade ALAB on strength with a tactical short or put spread, 2-4 weeks: it is the most sentiment-sensitive part of the group and likely to be the first name hit if the market questions how durable the April-style move is. Risk is a continued squeeze, so keep it small and event-aware.
• Pair long AMAT vs short a basket of the highest-flying AI chip names for 1-3 months: if the market shifts from narrative to capex normalization, equipment should lag less than high-duration fabless names. This is the cleaner way to express a moderation-in-momentum view without taking a broad semiconductor beta short.