Billionaire Bill Ackman Has 25% of His Hedge Fund in 2 Brilliant AI Stocks (Hint: Not Nvidia)

Ackman's Pershing Square allocates 25% of its portfolio to two AI plays: 14% in Amazon and 11% in Meta. Amazon: AWS cloud revenue grew 24% in Q4 and operating margin (ex-items) rose 1.5 percentage points; Wall Street forecasts ~19% EPS CAGR over three years, current multiple ~28x, and a median analyst target implying ~37% upside ($208 -> $285). Meta: Q4 product optimizations drove a 7% lift in feed/video views and a 6% Y/Y increase in price per ad; analysts forecast ~22% EPS CAGR, valuation ~26x, and median target implying ~41% upside ($606 -> $855).

Analysis

AI-driven operational improvements at large e-commerce platforms act like a disguised cost-plus margin lever: as automation replaces marginal labor and reduces inventory turns, incremental revenue need not be as high to drive outsized operating leverage. Expect the largest earnings delta to come from the retail P&L (gross-to-operating conversion) over 12–36 months rather than from a one-off cloud product release — that changes how to value multiples (shift to an earnings-growth multiple rather than revenue multiple).

Custom silicon and in-house ML stacks will bifurcate the semiconductor chain: foundries, advanced packaging and specialized IP vendors gain pricing power while general-purpose CPU vendors face margin erosion in hyperscaler channels. This is a multi-year demand shock with lumpy capex cycles — GPU/accelerator shortages can create 6–12 month supply squeezes that amplify OEM pricing power but also concentrate execution risk for buyers.

Advertising platforms that materially increase ad ROI will steal incremental budget from less measurable channels; the second-order winners are measurement and attribution vendors that integrate directly with platform telemetry while independent DSPs and legacy measurement firms lose leverage. For consumer AR/glasses, component winners (optics, low-power compute, battery) see multi-year growth, but distribution and content monetization remain gating factors for 3–5 year upside.

Key risks: privacy or antitrust interventions that curtail first-party data use; cyclical ad freezes that can reverse ad-ROI improvements within a single quarter; and execution risk from capex overspend where AI projects fail to scale, turning expected margin tailwinds into near-term profit drag. Monitor quarterly unit economics (ad price per engagement, retail gross margin delta, custom chip ASPs) as 30–90 day catalysts and custom chip supply commentary as a 6–12 month leading indicator.

Key Decisions for Investors

• Long AMZN via 12–18 month call-spread (buy ATM call / sell ~30–40% OTM) to capture retail margin expansion and AWS AI monetization; max loss = premium (small), target 2–4x if quarterly unit-economics show consistent margin beats over two consecutive quarters.
• Long META equity or 18-month LEAP calls to play durable ad ROI improvements and AR optionality; hedge 20–30% of notional with short-dated puts to finance premium — expect asymmetric upside if advertiser yield metrics (CTR/price per ad) improve for two sequential quarters, downside if privacy regs bite.
• Short INTC outright (12–24 month horizon) versus long NVDA as a pair trade to express share shift to accelerators/custom silicon; set stop-loss at 15% and target ~30% downside in INTC if data-center CPU share erosion accelerates.
• Buy 6–12 month NVDA calls as a convex hedge to the AI hardware shortage thesis — small allocation (2–3% portfolio) to capture upside from lumpy GPU/accelerator demand while keeping downside limited to option premium.