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Should You Buy the Dip in These 2 Beaten-Down Artificial Intelligence (AI) Stocks?

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Should You Buy the Dip in These 2 Beaten-Down Artificial Intelligence (AI) Stocks?

CoreWeave reported Q1 revenue up 111.6% year over year to $2.1 billion, but net loss widened to $740 million from $315 million and guidance missed expectations. Broadcom posted Q2 revenue of $22.2 billion, with AI semiconductor revenue up 143% to $10.8 billion and adjusted EPS up 54% to $2.44, but next-quarter AI guidance disappointed. The article views CoreWeave as riskier due to an 8.2x sales multiple and 67% revenue concentration with Microsoft, while Broadcom appears more attractive despite a 33x forward P/E.

Analysis

The market is no longer paying for AI exposure indiscriminately; it is starting to distinguish between revenue quality, customer concentration, and the path to self-funded growth. That is a meaningful regime shift: infrastructure names with visible demand still work, but anything with one or two anchor customers or a large cash burn is now being marked as a financing and concentration risk rather than a growth premium. In that setup, the better risk-adjusted winners are not necessarily the fastest growers, but the names that can convert AI capex into durable free cash flow without relying on continual multiple expansion.

CoreWeave’s setup is attractive only if AI buildout remains a multi-year straight line. The second-order issue is that hyperscalers can stretch, delay, or re-source spend faster than the market expects, and that would hit a model with heavy operating leverage and a narrow customer base disproportionately hard. The stock can still work as a long-duration call option on AI capex, but the current valuation leaves little margin for guidance misses; the move lower should be treated as a reminder that growth without diversification is fragile once the market starts demanding proof of monetization.

Broadcom is in the stronger tactical position because it has a profitable core that can absorb AI volatility and a custom-chip angle that benefits from customers seeking supply-chain control and better economics versus merchant GPUs. The hidden upside is that custom silicon adoption can expand faster than headline AI spend if large buyers optimize for cost per inference, not just performance per watt. Even so, the customer concentration and elevated multiple mean the stock will likely trade on next-quarter AI bookings and design-win visibility; the catalyst is not broad AI demand, but whether the company can keep converting those design wins into a multi-quarter revenue ramp.