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2 Hypergrowth AI Stocks to Buy in the Current Sell-Off

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Artificial IntelligenceTechnology & InnovationCompany FundamentalsCorporate EarningsCorporate Guidance & OutlookAnalyst EstimatesInvestor Sentiment & Positioning

Morgan Stanley projects global AI spending approaching $3 trillion by 2028 with >80% of that spending still to come. Palantir reported revenue up 56% to >$4.4B last year, Q4 growth +70% YoY with U.S. commercial revenue +137%, converting roughly 50% of revenue into free cash flow, though shares are down ~28% from recent highs and consensus revenue is expected to nearly triple to ~$15B by 2028. TSMC posted last-quarter revenue of $34B (+25% YoY) with a 54% operating margin, management targets ~25% annualized revenue growth through 2029 and >50% annual growth in AI-related chip revenue, while its shares are ~13% off recent highs.

Analysis

Palantir’s core advantage — embedding model outputs into mission-critical workflows — creates a high switching-cost surface that is asymmetric: upside scales with wallet-share gains inside large enterprises, but downside is amplified if customers standardize around in‑house data meshes or bundled cloud MLOps. Expect renewal dynamics to matter more than net new logos in the next 12–24 months; marginal seat expansion will drive margin improvement, while any procurement scrutiny or audit cycles at a few large accounts could produce outsized churn. TSMC’s economics are governed not just by node leadership but by multi-year capacity cadence and inputs (EUV tools, advanced substrates, packaging substrates). That gives it pricing power today, but also concentration and execution risk — a sustained step-up in onshore capex by customers or a faster multi‑source push to chiplets/advanced packaging would reallocate demand away from the most advanced wafers over a 2–5 year horizon. Key catalysts are discrete: large multi-year contract announcements, beat-and-raise quarters, and yield improvements for new nodes; key tail-risks are geopolitical escalation that impacts logistics and insurance costs, and technology enablers (chiplets, optimized low-precision inference silicon) that could materially compress demand for leading-node wafers. Monitor margin inflection points and customer concentration metrics as higher‑signal leading indicators rather than headline revenue growth. Contrarian read: the market is underpricing the optionality of Palantir’s platform to upsell beyond deployment into recurring ops spend (true enterprise flywheel) while simultaneously discounting TSMC’s ability to sustain oligopolistic pricing if capex remains disciplined. That creates asymmetric, risk-defined ways to express both names, but the path depends on execution cadence and externalities (procurement, geopolitics, tooling supply) over the next 12–36 months.