10 AI Stocks I'm Buying Right Now

Nvidia reported Q4 revenue +73% YoY and is guiding to ~77% growth in Q1, highlighting continued AI hardware momentum. Broadcom projects AI chip sales rising to >$100B by end-2027 from a current run-rate under $8.4B/quarter; Microsoft cloud/AI revenue rose +39% YoY and Meta revenue +24% YoY, while many hyperscaler stocks sit well below all-time highs (MSFT -35%, AMZN -22%, META -34%). The author lists 10 buy recommendations (NVDA, AVGO, TSM, MSFT, AMZN, GOOG, META, IONQ, NBIS, SOUN), signaling a bullish view on AI hardware, hyperscalers, and niche software/quantum plays; expect sector-level influence and potential 1–3% moves in individual names.

Analysis

The durable profit pool from AI workloads is creating a bifurcation: concentrated, high-margin foundry/packaging beneficiaries versus modular software/cloud integrators that trade on optionality and M&A potential. Expect foundries and adjacent substrate/memory suppliers to see >12–18 month pricing power as hyperscalers lock multi-year capacity; that amplifies revenue visibility and makes throughput growth the dominant driver of equity returns rather than near-term product cycles.

Second-order winners will include HBM and advanced packaging vendors where lead times remain months, not weeks — those bottlenecks create margin leverage for companies that can pass on scarcity pricing and for foundries with idle wafer starts. Conversely, commoditization of general-purpose inference hardware (via domain-specific ASICs) compresses incremental ASPs for legacy GPU-like SKUs over a 2–4 year horizon, reallocating margin pools upstream to chip designers and foundries.

Tail risks are concentrated: a sudden model-architecture pivot that reduces compute intensity, a rapid drop in HBM pricing, or meaningful hyperscaler cost-optimization (on-prem to proprietary ASIC) could shave 20–40% off forward revenue estimates within 6–12 months. Monitor visible capex decelerations, spot memory pricing, and hyperscaler utilization guidance as 60–120 day leading indicators that would reverse the trade thesis.

Key Decisions for Investors

• Long TSM (size 3–6% portfolio): BUY shares or BUY Jan-2028 calls (directional) to capture multi-year foundry pricing power. Target 18–24 month horizon; upside scenario +25–45% if utilization remains high and ASPs firm. Risk: cyclical demand drop or faster-than-expected ramp of competitor fabs — set stop at -20% or hedge with 6–9 month OTM puts (~10–15% notional).
• Long NBIS (size 1–2% portfolio, satellite position): BUY equity and BUY 12–18 month OTM calls to capture optionality (partnerships / buyout). Plan for binary outcome: 3–5x on a successful hyperscaler pick-up or acquisition within 12–24 months; downside limited by execution and burn — cap position size accordingly and deploy protective 6–9 month puts if volatility drops below historical small-cap levels.
• Relative-value pair — Long TSM / Short INTC (1:1 notional, size 4% net): Initiate for 6–18 months to express foundry premium vs IDM execution risk. Reward: asymmetric if TSM realizes pricing power while INTC delays product ramps; risk: Intel turnaround or share repurchase support improves INTC by >30% — trim if pair diverges >15% intramonth.
• Options calendar trade on TSM (volatility arbitrage): BUY 18–24 month TSM calls and SELL near-dated (3-month) covered calls against part of the position to finance theta while retaining long convexity to a multi-year capex cycle. Target net cost reduction ~40–60% vs naked long calls; monitor quarterly utilization and HBM spot as pair triggers to unwind short calls.