This Is the Top Artificial Intelligence (AI) Chip Stock to Buy Right Now, According to Jim Cramer (Hint: It's Not Nvidia)

Intel is presented as a potential AI beneficiary, with the article highlighting 263% year-to-date stock gains, the relevance of its CPU business in agentic AI workloads, and early signs of foundry stabilization. Intel's foundry revenue reached $5.4 billion in Q1, up 16% year over year, though external foundry revenue was only $174 million and the unit remains loss-making. The piece is cautiously constructive on Intel's long-term optionality, but emphasizes that further upside depends on execution and design wins.

Analysis

The important shift is not "Intel wins AI" but that AI infrastructure is becoming a systems-level spend cycle rather than a single-component trade. If agentic deployments force hyperscalers to provision more host CPUs, memory, and orchestration capacity earlier, the incremental demand pool expands for whoever is embedded in the rack architecture — that favors diversified incumbents like INTC more than pure accelerator vendors at the margin. The second-order implication is that server BOM inflation could slow AI server rollout cadence, which paradoxically supports suppliers with pricing power and installed-base leverage while pressuring buyers to optimize total cluster economics rather than chase raw GPU count.

The foundry angle matters less as a near-term earnings engine than as a strategic de-risking option for the domestic semiconductor stack. Even a modest credible external foundry base can become politically valuable under trade-policy stress, which raises the probability of subsidy-backed capex, advance purchase commitments, or at least customer trial runs that don’t show up in revenue immediately. That said, this is a multi-quarter story: the market is likely over-discounting the speed at which external wafers convert into meaningful margin because design wins, qualification, and yield stabilization usually lag headline investment by 6-18 months.

The consensus risk is that Intel’s recent outperformance has front-run the narrative before the operating data catches up. If agentic workloads remain experimental for another 2-3 quarters, the CPU uplift may be too gradual to offset execution risk in foundry, and the stock could de-rate from a story multiple back toward a cycle multiple. The cleaner expression is not an outright chase, but a relative-value bet on the broader AI stack shifting from "GPU only" to "GPU plus infrastructure," with Intel as a call option on that inflection and Nvidia as the incumbent that still captures the first dollar of spend.

Key Decisions for Investors

• Hold a tactical long INTC for 3-6 months only on pullbacks, with a stop if the market stops rewarding AI-infrastructure breadth; upside is a rerate on incremental CPU design wins, downside is valuation compression if agentic adoption lags.
• Pair trade: long INTC / short a basket of high-multiple AI pure-plays over 1-2 quarters to express the thesis that second-order infrastructure spending will outperform narrative-only momentum if AI capex broadens.
• For event-driven exposure, use INTC call spreads 3-6 months out rather than stock if you want convexity around foundry/customer-validation headlines; risk/reward is better because the market is already pricing optimism.
• Maintain a relative long NVDA vs TSM hedge only if you believe the near-term AI buildout remains accelerator-led; if the thesis shifts toward supply-chain diversification, rotate some exposure from TSM into INTC on any strength in TSM.
• Do not chase INTC after sharp up-days; wait for confirmation in external foundry traction or CPU server share data, since the stock can easily retrace 15-20% on any execution miss before the next catalyst window.