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2 of the Most Owned Stocks on Robinhood Also Have at Least 50% Upside, According to Wall Street

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Wall Street sees buying opportunities in two of Robinhood’s most-owned stocks, Nvidia and Microsoft, after this year’s tech and AI selloff. Nvidia has 41 buy ratings out of 43 analysts and an average price target of about $274, implying 54% upside, while Microsoft has 34 buys out of 37 analysts and a roughly $582 target, implying 57% upside. The article is largely commentary, but it reinforces bullish positioning around large-cap AI leaders despite valuation and demand concerns.

Analysis

The key second-order read is that retail crowding in NVDA and MSFT is no longer a pure momentum signal; it is becoming a sentiment capitulation setup. When the most owned names are also the most widely hated on valuation, incremental bad news tends to get priced faster than good news, which is exactly when high-quality compounders can re-rate on even modest beats. The broader implication is that AI leadership is narrowing from “everything with AI” to a smaller set of infrastructure winners with clearer monetization paths, while adjacent software names face a harder bar to justify spending. NVDA remains the cleaner long because the market is discounting slowdown risk against a business that still has the most visible demand backlog in the semis complex. If hyperscaler capex merely decelerates rather than contracts, the stock can work even without multiple expansion; the bigger upside is a re-acceleration in China and platform refresh optionality over the next 6-12 months. The main risk is not valuation in isolation, but duration risk: if AI ROI debates persist, the multiple can compress another turn or two before fundamentals catch up. MSFT is more nuanced: Azure is the core asset, but Copilot penetration is the tell for whether AI becomes a margin lever or just a cost center. If monetization lags while Azure growth normalizes, the market may keep penalizing the stock despite fortress fundamentals. That said, the setup is asymmetric because enterprise software budgets are sticky; even modest AI attach rates over the next 2-4 quarters could drive operating leverage and restore confidence faster than the stock currently implies.

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