The Next Leg Of The AI Trade Is On. Which Stocks To Pick?

The article argues the AI trade is broadening beyond Nvidia and Broadcom into second-order beneficiaries, highlighting Skyworks, Microchip Technology, and NXP Semiconductors as underappreciated picks. Skyworks trades at about 14.5x forward earnings with a dividend yield above 4%, Microchip at roughly 35x next year’s earnings, and NXP at around 19x forward earnings, with each tied to connectivity, AI infrastructure, or automotive edge intelligence. The piece is constructive on these laggards but more of a thematic investing commentary than a catalyst-driven event.

Analysis

The market is moving from “compute scarcity” to “deployment breadth.” That usually marks a second, more durable phase of the cycle: capital rotates from the obvious hyperscale winners into the picks-and-shovels that sit one or two layers down the bill of materials. The key implication is that the next upside leg should be less about raw AI capex growth and more about content-per-device expansion, which tends to widen the set of beneficiaries but compresses the relative premium for the marquee names.

The cleanest second-order winner is the RF/connectivity stack because AI increases data intensity at every edge node, not just in servers. That creates a potential catch-up trade in SWKS and QRVO, but it also raises the odds of share gains for diversified suppliers over single-customer exposure names; any reduction in AAPL concentration should matter more than headline device volumes. In autos, NXPI has the most underappreciated optionality because advanced driver assistance and vehicle-to-everything content can re-rate on a much longer design-cycle cadence than consensus expects, making the market late by multiple quarters.

MCHP is the most interesting “quiet beneficiary” because it is tied to infrastructure reliability rather than AI branding. Timing, power, and control content scale with every new rack deployment, so even modest share gains in data-center buildouts can drive outsized incremental margin once the inventory overhang fully clears. The risk is that the market may be too early: if capex growth normalizes before utilization improves, these names can de-rate again despite the structural thesis.

AAPL is the likely relative loser in this sub-theme, not because the franchise weakens, but because its AI value capture is less direct while supplier upside gets repriced first. The consensus seems to be underestimating how quickly a “value” multiple can reattach to semis with credible AI adjacency and dividend support, particularly once investors realize the rerating does not require NVIDIA-like growth—only stable mid-single-digit revenue acceleration plus better mix. The main reversal trigger is any evidence that server build-outs or handset replacement cycles stall; that would hit the more cyclical names fastest.

Key Decisions for Investors

• Go long SWKS / short AAPL for 3-6 months: express the view that edge-AI connectivity content is being re-rated faster than the underlying consumer hardware platform; target a 15-20% relative spread if merger optionality and valuation rerating gain traction.
• Initiate a tactical long in MCHP on weakness over the next 2-8 weeks: the setup is best once the market starts rewarding backlog normalization, with upside driven by margin leverage if data-center content ramps; use a 10-12% stop if inventory concerns reappear.
• Build a long NXPI position on a 6-12 month horizon: this is a slower-burn compounding trade where the market is discounting automotive softness too aggressively; pair with a stop against a sustained auto demand deterioration, but expect the rerating to happen only as design wins translate into shipments.
• Pair long QRVO vs short a basket of higher-multiple semiconductor hardware names: the goal is to capture catch-up in RF without paying for the most crowded AI winners; best held into the next earnings season where commentary on edge-device content can reaccelerate sentiment.
• Avoid chasing NVDA/AVGO here; instead, use any strength to fund the adjacent-layer longs: the risk/reward has shifted from upside participation to relative-value selection, and the second leg of the trade is usually about breadth, not leadership.