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

The article is bullish on Nvidia, Nebius, and Sandisk, highlighting Nvidia's 85% year-over-year quarterly growth and 23.5x forward earnings, Nebius' 684% Q1 revenue growth and projected 550% growth in 2026, and Sandisk's 122% expected fiscal 2027 revenue growth with a 12x forward earnings multiple. The core thesis is that AI infrastructure demand remains strong and these names still have upside despite already large share-price gains. The piece is opinion-driven analysis rather than new company-specific news, so near-term market impact should be limited.

Analysis

The setup is less about headline AI enthusiasm and more about a widening capital-expenditure supercycle that should keep the winners polarized. NVDA remains the cleanest expression of infrastructure spending, but the second-order winner is anyone selling the picks-and-shovels needed to keep GPU clusters fed, cooled, and logged; that argues for persistent strength in the broader AI supply chain, while software names without direct infrastructure leverage remain vulnerable to multiple compression. The market is also implicitly signaling that scale no longer guarantees a premium multiple, which means earnings durability matters more than narrative breadth from here.

NBIS is the highest-beta way to express the thesis, but its extreme growth rate also creates the largest valuation fragility. When revenue triples/quadruples off a small base, the stock can keep re-rating for quarters, yet a single miss or capacity bottleneck can reset expectations violently; the key risk window is the next 1-2 print cycles, not the long-dated AI story. If hyperscaler demand stays tight, NBIS can compound as a scarce capacity asset; if pricing eases or utilization slips, the stock likely de-risks faster than consensus expects.

SNDK is the more interesting contrarian because memory is usually where the cycle gets extrapolated too far too fast. AI storage demand is real, but NAND pricing tends to move in violent waves, so the critical question is whether current data-center ordering is pulling forward 2027 demand rather than creating structurally higher end-demand. That makes SNDK attractive tactically over the next several months, but not something to chase blindly after an enormous rerating; the upside remains if supply discipline holds, while the downside is a classic memory downcycle if inventory normalizes sooner than expected.

Key Decisions for Investors

• Long NVDA on 3-6 month horizon; favor call spreads over outright equity if you want exposure to further multiple expansion, with the thesis that earnings momentum should outrun market skepticism while the stock trades near broad-market valuation.
• Long NBIS only as a tactical growth/volatility expression; use a tight risk budget or call spreads into the next 1-2 earnings events, because the payoff is asymmetric if capacity demand stays tight but drawdowns can be severe on any execution miss.
• Long SNDK on pullbacks rather than strength; treat it as a cyclical AI-memory trade with 2-4 quarter upside, and consider taking profits into any further multiple expansion because NAND pricing reversal risk rises quickly once inventories normalize.
• Pair trade: long NVDA / short a basket of AI software names with no direct capex leverage; this isolates infrastructure spend while avoiding names that may face valuation pressure if AI monetization lags hardware deployment.
• If seeking cleaner risk control, replace outright SNDK exposure with a call spread or covered call structure over 6-9 months; this captures continued upside while limiting damage if memory prices roll over.