3 Impressive Artificial Intelligence (AI) Stocks You Should Buy Right Now

The article argues Nvidia, Nebius, and Sandisk remain attractive AI-related buys, citing Nvidia's 85% last-quarter revenue growth and 23.5x forward P/E, Nebius' 684% Q1 revenue growth with 550%/225% analyst growth estimates for 2026/2027, and Sandisk's 122% expected fiscal 2027 revenue growth. It emphasizes that AI infrastructure spending could rise to $3T-$4T in the 2030s, supporting continued demand for GPUs, cloud services, and storage. The piece is opinionated rather than event-driven, so the likely direct market impact is modest.

Analysis

The bigger signal here is not that three AI names are attractive; it’s that the market is starting to separate “AI infrastructure” into distinct layers with different elasticity. NVDA is still the toll collector, but NBIS and SNDK are the second-order beneficiaries of compute spend turning into cloud capacity and memory intensity, which usually lags the first wave of accelerator demand by 2-6 quarters. If capital expenditure broadens from a few hyperscalers into the mid-tier and sovereign/cloud ecosystem, the entire basket can rerate, but the beta will likely be highest in suppliers with operating leverage and the least proof of durable margins.

The contrarian miss is that extreme growth does not equal low risk when the base is small. NBIS’s trajectory implies a very narrow path where execution, customer concentration, and capacity availability must all align; any delay in GPU allocation or cloud monetization can compress the valuation multiple before the revenue curve catches up. SNDK is exposed to the classic memory cycle trap: when AI storage demand looks non-linear, supply tends to respond aggressively, and the market often front-runs peak earnings by 2-3 quarters.

For NVDA, the real issue is not demand but expectations: once the market treats it as “reasonably priced,” upside depends on estimate revisions staying ahead of the multiple compression that usually follows a normalization in growth rates. The cleaner trade is to own NVDA as the balance-sheet-and-distribution winner while expressing more aggressive upside through the higher-beta enablers. The best risk/reward over the next 6-12 months is likely in the names where AI spend is still undercapitalized in sell-side models, not in the most obvious compounder.

Key Decisions for Investors

• Long NVDA into the next 1-2 earnings cycles; treat it as the lowest-volatility AI exposure with the best downside capture if data-center spend broadens. Risk/reward: modest upside, but materially lower blow-up risk than the smaller AI beneficiaries.
• Long NBIS only on pullbacks, sized smaller than a core large-cap position; use a 3-6 month horizon and expect high variance. Risk/reward is attractive if growth reaccelerates without capacity bottlenecks, but execution risk is the primary drawdown driver.
• Buy SNDK on strength only as a momentum-plus-earnings revision trade, but hedge with tight stops or put spreads given memory-cycle risk. Best expressed over 1-2 quarters rather than as a long-duration compounder.
• Pair trade: long NVDA / short an equal-dollar basket of slower-moving AI beneficiaries that have already priced perfection. This isolates relative outperformance if AI capex remains strong but leadership rotates toward the most scalable cash generators.
• If volatility spikes, consider call spreads in NBIS or SNDK rather than outright equity. That keeps upside convexity while limiting exposure to valuation compression if the market questions forward guidance.