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Citi’s Top Chip Stocks to Buy Now as AI Infrastructure Spend Holds Strong

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Artificial IntelligenceTechnology & InnovationAnalyst InsightsAnalyst EstimatesCorporate EarningsCompany FundamentalsCapital Returns (Dividends / Buybacks)
Citi’s Top Chip Stocks to Buy Now as AI Infrastructure Spend Holds Strong

Citi Research doubles down on four semiconductor names into mid-2026: Broadcom (price target $475, ~40% implied upside) tops the list after a December-quarter-driven consensus EPS revision of +25%; NVIDIA (PT $270, ~52% implied upside) is framed as the cornerstone ahead of GTC and inference/memory architecture debates. Texas Instruments (PT $235, ~25% implied upside) is called out for gross-margin self-help and a ~3% dividend, while Monolithic Power Systems (PT $1,350, ~33% implied upside) is favored for an early-stage power‑semiconductor cycle as AI data centers push power density higher.

Analysis

AI-driven infrastructure demand is structurally tilting returns toward analog and power-semantics suppliers rather than pure-play GPU manufacturers; higher rack-level power density compresses the fraction of BOM spend that is GPUs and expands analog/PFC/PMIC TAM by a multiple over 3–5 years. That creates durable, less cyclical cashflow optionality for names with proprietary process-node analog IP and pricing power in specialized silicon — these businesses can improve margins through design wins even if system OEM volumes grow modestly. Second-order winners include advanced substrate/packaging vendors and co-pack optics players — adoption of tighter interconnects shifts margin pools away from discrete DRAM/HBM suppliers toward package and interposer specialists, while also raising the bar for thermal and power management vendors. However, the path is non-linear: architecture pivots (e.g., inference efficiency gains or SRAM experiments) and export/geo-policy frictions could compress projected unit demand within quarters, not years, producing sharp re-rating risk for concentration-heavy names. For portfolio construction, match time horizon to mechanism: buy-through-product-cycle for analog/power (12–36 months) and use short-dated options as event hedges around major AI announcements (days–weeks). The consensus underweights fragility from single-customer concentration and overestimates the speed at which packaging/optical transitions materialize; that mismatch creates asymmetric entry points into selectively defensive analogs versus swingy infrastructure names.