3 Networking Chip Stocks Riding the AI Data Center Boom

AI-driven data center networking demand is projected by Goldman Sachs to double power needs from 2025 to 2027 to 66GW, alongside data center market growth from $425B this year to $902.2B by 2033. In this context, Nvidia is highlighted for networking expansion (Vera Rubin/NVLink) and for shareholder payouts, raising its quarterly dividend by 2,400% to $0.25/share and targeting 50% of free cash flow with $100B+ in buybacks. Astera Labs posted Q1 revenue of $308.4M (+93% YoY) and net income of $80.3M (up from $31.8M), while Credo reported fiscal Q4’26 sales of $437M (+157% YoY) and net income of $226.7M—reinforcing a bullish setup for AI infrastructure connectivity names.

Analysis

The important market mechanism is not “AI demand” broadly; it is a reallocation of the AI dollar stack from compute into the plumbing that removes bottlenecks. That favors ALAB and CRDO because their revenue is more directly tied to per-rack complexity and bandwidth intensity, which should compound faster than GPU unit growth once hyperscalers move from initial buildout to optimization. The second-order winner set extends to other interconnect and switching vendors, while pure compute names face a slower mix of incremental attach per dollar of capex.

The risk is that networking remains a smaller, more competition-prone pool than GPUs. Over 1-3 months, the stock reaction can stay bid on index flows and sell-side momentum, but 6-18 months the key question is whether hyperscalers internalize more of the stack via custom silicon, pulling margin out of merchant suppliers. If customers standardize around a few architectures, the economic moat may be narrower than the growth rates imply, and the market could discount a future of high revenue but lower terminal margins.

NVDA still benefits, but the market already treats it as the default AI ownership vehicle, so incremental upside from networking diversification is likely less mispriced than in ALAB/CRDO. The contrarian view is that networking is not a clean new TAM so much as a redistribution of spend within the same capex envelope; if data-center power expansion slows or AI ROI scrutiny rises, the whole basket de-rates together. That makes relative value more attractive than outright beta chasing.

Key Decisions for Investors

• Go long ALAB on pullbacks over the next 1-3 weeks; highest operating leverage to rack-scale AI adoption, but size smaller than NVDA and use a 15-20% stop if next-quarter growth decelerates meaningfully.
• Initiate a long CRDO / short NVDA relative-value pair over 1-3 months to isolate the networking mix-shift trade; thesis breaks if NVDA networking disclosures imply materially larger incremental margin contribution than the market expects.
• Add to a basket of AI connectivity names (ALAB, CRDO) versus broad semiconductor exposure (SMH) for the next earnings cycle; this expresses the view that interconnect spend is earlier in the adoption curve than compute saturation.
• Avoid chasing NVDA at current levels; use any post-earnings strength to fade into strength unless management shows networking revenue is adding new gross margin dollars, not just replacing GPU mix.
• Watch hyperscaler capex and data-center power guidance as the key falsifier over the next 1-3 months; a slowdown there would hit the entire networking chain first and hardest.