Before the Next Nvidia-Style Run, Here Are 3 AI Stocks Worth Watching

The article highlights strong AI infrastructure growth across Astera Labs, Marvell, and Credo, with Astera posting Q1 revenue up 93% year over year to $308.4 million and Credo up 201% to $407 million. Marvell projected fiscal 2027 revenue to rise more than 30% to nearly $11 billion, then another 40% to $15 billion in fiscal 2028, while Nvidia's $2 billion investment underscores strategic demand for custom chips and optical networking. The piece is broadly bullish on AI connectivity stocks, though it notes rich valuations and customer concentration risk at Credo.

Analysis

The market is underappreciating that the next leg of AI capex is less about compute scarcity and more about interconnect scarcity. That shifts economic power toward a small set of vendors that sit at the junction of every incremental rack, switch, and optical path; these names can compound even if GPU unit growth normalizes because the number of connection points per deployment keeps rising faster than server count.

Among the three, ALAB is the cleanest “picks and shovels” beneficiary, but its upside is also the most tightly linked to sustained design-win conversion into the next socket cycle. The second-order winner is the broader silicon photonics and cable ecosystem: hyperscalers pushing custom silicon and scale-up networking create more attach opportunities for niche component vendors, while legacy switch and interconnect suppliers with slower product cadence risk share loss. The key tell over the next 2-3 quarters is whether revenue mix shifts from single-product bursts to repeatable platform adoption; that determines whether these are cyclical beats or durable franchise expansions.

The main contrarian point is valuation is now doing more work than fundamentals. These stocks can stay expensive as long as backlog and customer concentration are interpreted as visibility, but the same concentration means one platform reset, qualification delay, or hyperscaler capex pause could compress multiples quickly. The risk window is mostly 6-18 months: near-term upside is supported by guide raises, but the longer-term outcome hinges on whether optical and scale-up networking become standardized enough to commoditize margins.

NVDA is not the direct equity expression here; it is the ecosystem sponsor. The better trade is to own the interconnect layer versus the obvious compute leader, because the marginal dollar of AI infrastructure is increasingly flowing into data movement, not just FLOPS. If this thesis is right, the relative outperformance should show up in ALAB/MRVL/CRDO versus semis more broadly before it becomes visible in the headline AI capex numbers.

Key Decisions for Investors

• Long ALAB on pullbacks over the next 2-4 weeks; target a 15-20% upside move if Scorpio adoption keeps inflecting, with risk centered on any Q2/Q3 sequencing miss or slower customer qualification.
• Pair trade: long MRVL / short a broad semiconductor basket or NVDA on a beta-adjusted basis for 3-6 months; thesis is that connectivity and optical attach rates outgrow pure compute exposure as AI deployments scale.
• Tactically avoid chasing CRDO at current valuation; prefer selling cash-secured puts 10-15% below spot with a 3-6 month tenor to get paid for customer-concentration risk and optionality on DustPhotonics integration.
• Buy a small call spread in ALAB or MRVL into the next earnings cycle; the setup is attractive for guide-up optionality, but size should be limited because multiple compression risk is high if forward commentary normalizes.
• Monitor hyperscaler capex commentary and any NVLink Fusion / scale-up networking disclosures; if two consecutive quarters show broad-based attach-rate expansion, add to the interconnect basket and reduce any residual NVDA relative-weight.