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2 Nvidia-Owned Stocks Investors Should Buy Now

Artificial IntelligenceTechnology & InnovationCorporate EarningsCompany FundamentalsAnalyst InsightsInvestor Sentiment & Positioning

CoreWeave’s backlog surged to more than $99 billion, with Q1 2026 revenue up 112% year over year to almost $2.1 billion, though losses widened to $740 million and debt climbed to nearly $25 billion. Nokia is being repositioned as an AI-enabled telecom infrastructure play through Nvidia partnerships, with Q1 revenue up 2% and Q1 profit up 93% to 295 million euros, while the stock has risen about 170% over the past year. The article is mainly bullish commentary on Nvidia-linked AI beneficiaries, but it also flags valuation and leverage risks.

Analysis

The market is starting to price Nvidia less as a single-name semiconductor winner and more as an ecosystem allocator. That creates a second-order read-through: capital and compute capacity are migrating toward the firms that can monetize Nvidia’s roadmap fastest, which should keep the performance gap wide between “enablers” and generic AI beneficiaries. The key implication is that the next leg of upside is likely to accrue to companies that can turn Nvidia access into contracted demand rather than to firms simply exposed to AI enthusiasm.

CoreWeave is the more fragile expression of that theme. The backlog surge improves near-term revenue visibility, but the balance sheet is now effectively a levered call option on sustained AI infrastructure spend; if hyperscaler budgets or model-training intensity slow for even 1-2 quarters, the equity can de-rate faster than the operating business can adjust. The market is underestimating how quickly financing cost can become the binding constraint in neoclouds: once debt service competes with GPU refresh and datacenter buildout, growth can remain strong while equity value still compresses.

Nokia is a different kind of winner: not a direct AI monetization story, but a distribution-layer option on telecom network upgrades. The overlooked catalyst is that if AI inference is pushed to the edge, carriers may need to upgrade radio/access and transport equipment sooner than the market expects, creating a multi-year replacement cycle rather than a one-off feature add. The risk is that this remains a design-win narrative until standards, procurement cycles, and carrier capex budgets convert it into real revenue, so the stock can stay ahead of fundamentals for months.

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