3 Best Tech Stocks to Buy in December

Alphabet, Nvidia and TSMC are positioned to benefit from the AI upcycle: Alphabet reported Google advertising revenue of $74.2 billion and Google Cloud revenue of $15.2 billion in Q3 and is commercializing in‑house TPUs (including potential multi‑billion sales to Meta) despite antitrust remedies requiring some data sharing. Nvidia’s Blackwell GPUs drove $51.2 billion of $57 billion in Q3 fiscal‑2026 revenue from data centers, and management guides revenue of $212.8 billion for the current fiscal year and $316 billion for 2027. TSMC, the leading advanced-node foundry, posted Q3 revenue of $33.1 billion (+30% YoY) and net income of $15.1 billion (+39%), is scaling 3nm/5nm production and investing $165 billion to build U.S. fabs (including manufacturing Nvidia chips), underpinning durable secular tailwinds for AI hardware and infrastructure.

Analysis

Market structure: Winners are NVDA (data‑center GPUs), TSM (advanced foundry capacity), and GOOG/GOOGL (ad + TPU distribution). NVDA’s $51.2B data‑center quarter and management’s $316B 2027 revenue outlook imply pricing power in accelerators, while TSMC’s $33.1B Q3 and $165B U.S. capex lock in supply for leading-node AI chips. Incumbents dependent on older nodes (INTC) and small AI chip entrants face margin compression and capacity access risk.

Risk assessment: Near term (days–weeks) risk centers on earnings and announced TPU deals (Meta/GOOG) that could reprice demand; medium term (3–12 months) regulatory moves (DOJ antitrust remedies, data‑sharing impacts) could shave ad monetization by >5–10% revenue vs baseline. Tail risks: forced divestitures, a TSMC production delay >3 months, or export restrictions that cut supply to NVDA/GOOG would be high‑impact. Hidden dependency: TPU adoption by hyperscalers is contingent on TSMC capacity and interconnect ecosystem readiness.

Trade implications: Favor concentration in NVDA (accelerator monopoly) and TSM (fabrication moat) with 6–24 month horizons; deploy risk‑managed call spreads on NVDA for event exposure and buy TSM on pullbacks >10%. Pair trade: long GOOGL (ad + TPU upside) vs short META (higher capex, lower ad quality) to express relative ad/cloud strength. Reduce exposure to Intel/legacy node players and reallocate into foundry/accelerator exposure.

Contrarian angles: Consensus underprices TPU licensing/leasing as a recurring high‑margin revenue stream for GOOG that could add several percent to operating margins if Meta/others sign multi‑year deals. Conversely, NVDA’s moat may be overstated on price sensitivity—widespread TPU adoption or a TSMC capacity shock could cap NVDA upside. Geopolitical concentration at TSMC is a systemic single‑point risk; scale positions accordingly and stagger entry over 3–6 months.

Key Decisions for Investors

• Initiate a 3% portfolio long in NVDA (long equity) sized for 6–12 month upside; complement with a 9–12 month call spread (bull call spread targeting delta ~0.40 buy / 0.15 sell) to cap cost; set initial stop at -15% and take-profit band at +40–60% or on material cadence misses.
• Establish a 2.5% long position in TSM (TSM) for a 12–24 month hold; add to position on pullbacks >10% and trim by 25% if TSMC delays U.S. plant timelines by >90 days or Taiwan‑US export curbs emerge.
• Execute a relative‑value pair: long GOOGL 2% vs short META 1.5% to express ad/cloud/TPU monetization differential over 6–12 months; unwind if Meta gross margin expands by >300bps quarter‑over‑quarter or GOOG/Meta announce a TPU licensing pact that materially swaps revenue profiles.
• Reduce exposure to INTC and legacy node CPU/value chains by 50% over the next 30 days; redeploy proceeds into NVDA/TSM and short‑tail hedges (1–3 month puts on cyclical semiconductor names) to protect against a demand shock or inventory re‑balancing.