
The Nasdaq plunged as much as 13% from its prior high and remains negative YTD, creating dip-buy opportunities in quality names. Alphabet reported Google Cloud revenue up 48% YoY to $17.7B with a $240B backlog, underpinning AI-led growth and optionality from Waymo and Google Quantum AI. MercadoLibre is off over 30% from its peak and trades at a forward P/E of 28.5 amid margin compression and geopolitical/fuel-cost risks, while Nvidia shows an attractive PEG of 0.71, Rubin chips that could cut inference costs up to 10x, and momentum from H200 GPU sales restarting in China.
The pullback has created a dispersion opportunity between scale incumbents that own both demand-side (search/marketplaces) and supply-side (cloud/GPU) moats, and smaller specialist vendors that rely on narrow product cycles. Nvidia’s Rubin-led step‑function reduction in inference cost is a classic TAM-expansion event: workloads previously uneconomic to serve in the cloud (30–300ms batch inference, on‑device hybrid inference) become addressable, pressuring GPU rental pricing and forcing cloud providers to reprice instance economics within 3–9 months. That will benefit TSMC/ASML capacity owners and push software players to monetize longer, richer sessions, but will also compress ASPs for companies selling older accelerators. Alphabet’s advantage is optionality: search monetization per session can rise materially if AI-driven sessions lengthen and increase ad slot inventory, but rising compute intensity creates margin leakage in Google Cloud unless contract pricing or pass‑throughs change. The real lever is contract structure—move from spot cloud to multi‑year committed spend and per‑session CPMs tied to AI‑interaction metrics—delivering cash flow visibility over 12–36 months and making current share weakness a bet on contract repricing rather than short‑term ad cycles. MercadoLibre is a growth‑at‑scale story where the value inflection depends on logistics unit economics and regional rates/FX. Short‑term margin compression from logistic investment and fuel shocks can reverse if inflation and sovereign spreads stabilize; expect a 6–12 month window for deleveraging as investments scale and credit losses normalize. The key tail risks across all three are geopolitics (China export controls, Middle East energy shocks) and sudden demand re‑rating if AI spending shifts to custom silicon or on‑prem substitutes. From a portfolio construction angle, this market is best traded via defined‑risk options and relative value pairs that capture asymmetric upside from TAM expansion while capping drawdowns from macro/regulatory tail events.
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moderately positive
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0.40
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