2 Artificial Intelligence (AI) Stocks to Buy Before They Soar 35% and 62%, According to 1 Wall Street Analyst

KeyBanc’s John Vinh reiterated overweight ratings on Intel and Micron, lifting Intel’s price target to $70 from $65 and keeping Micron at $600, implying about 35% and 62% upside from the referenced prices. The bullish view is based on tightening AI supply chains: stronger server CPU demand should benefit Intel, while DRAM and NAND prices could rise 30% to 50% in Q2 for Micron. The article is broadly constructive on both stocks, though it frames the setup as cyclical and somewhat cautious on how long the pricing cycle lasts.

Analysis

The market is starting to separate the “AI picks-and-shovels” winners from the speculative AI application layer. The key second-order effect is that as GPU economics tighten, bottlenecks migrate upstream into CPUs and memory, which improves pricing power for the most supply-constrained components rather than for the headline AI compute names. That favors vendors with real capacity discipline and customer lock-in, while hurting downstream builders that depend on cheap, abundant infrastructure to sustain capex growth.

INTC’s setup is less about a classic turnaround and more about a temporary supply shortfall creating margin leverage. If server CPU inventory remains tight into the next two quarters, pricing can outrun unit growth and support near-term EPS revisions even without a full competitive re-rating. The risk is that this is a window, not a durable structural share gain: once hyperscalers and ODMs redesign around alternate CPU architectures, Intel’s pricing power could fade quickly.

MU is the cleaner earnings momentum story, but the market is likely underestimating how fast LTA structures can change the amplitude of the memory cycle. Longer contracts reduce spot volatility, yet they also cap upside once customers push back, so the best trade may be to own the stock into the next pricing inflection and then fade the duration of the move. The real bear case is not demand collapse; it’s that the current shortage prompts accelerated capacity additions, which would compress the cycle faster than consensus expects over the next 6-12 months.

The contrarian view is that this is a relative-value trade inside AI rather than a broad bullish call on AI itself. If capital spending on AI infrastructure decelerates, the weakest link will be names with the most narrative premium, while CPU and memory suppliers can still print strong quarters because the installed base needs to be fed regardless of new build pace. That makes this a tactical trade on supply scarcity, not a long-duration thesis on AI adoption.

Key Decisions for Investors

• Long INTC for 1-2 quarters into expected server CPU price resets; target 15-20% upside if pricing holds, but reduce if hyperscaler commentary signals design substitution.
• Long MU on pullbacks for the next earnings cycle; upside is strongest if DRAM/NAND spot tightness persists, but trim into strength because capacity expansion can compress the multiple within 6-12 months.
• Pair trade: long INTC / short a basket of AI capex-dependent hardware beneficiaries with stretched multiples, to isolate scarcity-driven pricing power from broader AI sentiment.
• Use MU call spreads rather than outright equity if entering now; the trade should express near-term price momentum with defined downside in case customers resist further increases.
• Set a 60-90 day catalyst watch on server demand and memory pricing commentary; if either shows normalization, take profits aggressively because the move is likely more cyclical than structural.