Jim Cramer Says Buy 2 Artificial Intelligence (AI) Stocks Down 24% and 46% Before They Soar

The article argues Meta Platforms and Shopify are attractive entry points after sharp pullbacks of 24% and 46% from highs, respectively. Meta posted first-quarter revenue of $56.3 billion, up 33%, with ad impressions rising 19% and average ad prices up 12%; Shopify reported revenue of $3.1 billion, up 34%, and AI-driven traffic to its stores is up 8x year over year. Wall Street median targets imply 36% upside for Meta and 55% for Shopify, but Shopify’s softer full-year guidance is still weighing on the stock.

Analysis

META and SHOP are being punished as if AI spending and softer guidance are mutually exclusive with operating leverage, but the more important read-through is that both businesses sit on compounding data advantages that become more valuable as AI improves ranking, targeting, and conversion. In META’s case, higher capex is functioning like a distribution moat investment: if incremental AI lift keeps ad load steady while pricing and engagement rise, the market is underestimating how quickly earnings can re-rate once capex growth normalizes. For SHOP, the market is still valuing it like a mature SaaS multiple when the optionality is really in becoming the control layer for commerce agents across channels.

The second-order winner set is broader than the article implies. GOOGL and MSFT likely benefit if agentic commerce expands because they own the interfaces through which users discover products, but SHOP is the toll collector if it becomes the systems-of-record standard for checkout and merchant inventory. NVDA is the silent beneficiary on the infrastructure side, yet the upside is more already-financed than the article suggests; the cleaner trade may be into application-layer names where AI monetization is still underappreciated. The hidden loser is anyone reliant on legacy search-driven paid acquisition, because agentic routing compresses the value of generic keywords and shifts budget toward platforms with transaction data.

The consensus is missing that these are not “cheap because down” setups; they are duration trades on 2-3 year earnings power. META’s risk is not valuation, it’s evidence risk: if engagement or ad pricing decelerates for even two quarters, the market will reprice the capex program as wasteful and punish the stock hard. SHOP’s risk is execution around the agentic standard — if UCP remains a niche protocol rather than a default layer, the multiple compresses again before the long-term story arrives. Near term, both names can stay volatile, but the asymmetry improves if management can show another quarter of conversion, pricing, or AI traffic acceleration.

Key Decisions for Investors

• Add META on weakness in 1-2 tranches over the next 2-4 weeks; target a 12-18 month hold with upside driven by multiple expansion if ad pricing/engagement stays >10% growth, but cut if the next quarter shows deceleration in either metric.
• Buy SHOP only as a structured position: 6-12 month call spread or 30-40% smaller cash equity size versus META, because the upside is larger but the path is more execution-dependent and the multiple can compress fast on any guidance miss.
• Pair trade: long SHOP / short legacy e-commerce enablers or generic martech proxies for 6-12 months to express the view that agentic commerce shifts value to the checkout/control layer rather than traffic intermediaries.
• Use NVDA as a hedge, not the primary expression: prefer small long exposure or call overwrites if entering META/SHOP, since infrastructure spend supports the thesis but valuation already discounts much of the cycle.
• If META trades back to a high-teens earnings multiple on any AI-capex scare, add aggressively; if it rerates above the low-20s without a second quarter of engagement confirmation, take partial profits.