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Bloomberg Tech

CoreWeave, Supermicro Lead Tech Stocks Higher on Results

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Original episode
PodcastBloomberg Tech
Publisher/creatorBloomberg
Published
Shortcast updated

About this episode

Bloomberg’s Ed Ludlow breaks down positive earnings results from CoreWeave and Supermicro, showing the booming AI market continues to bolster their sales. Plus, Silicon Data raises new funding and puts it to work on building independent benchmarks for AI compute. And, investors are betting AI music startup Suno can be the next Spotify despite concerns about theft and AI slop.

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Episode summary

This AI-generated Shortcast summary may omit nuance. Use the original episode when context or exact wording matters.

Bloomberg Tech is all about AI infrastructure: CoreWeave, Nebius and Super Micro are rallying on outlooks ahead of expectations. The question is whether the buildout can keep meeting demand.

CoreWeave is the NeoCloud poster child, controversial online. But improved margins and operating income, plus constrained chips, support strong pricing—even on older Nvidia hardware booked years ahead.

Nebius's Microsoft project in New Jersey remains on schedule, reassuring investors despite local data-center resistance.

Super Micro’s growth was never the debate; margins were, hit by tariffs, expedited shipping and tight supply. This quarter looks like a breakout: guidance crushed consensus, and margins should rise.

Enterprise sales and building blocks are more profitable. China investigation open, but filings are complete, auditor hired, no restatement needed.

Bank of America’s $250 billion infrastructure commitment isn’t simply its balance sheet: lending, capital markets and advisory put it at the center of deals and client capital through next July.

Compute remains scarce, but businesses are seeing returns: by year-end, most companies should have a live AI project, and 25% of S&P 500 firms can quantify benefits, up from 14%.

Bigger constraints are electricians, specialized construction labor and power—a roughly 40-gigawatt gap through 2028. Community concerns about bills, water, traffic and noise, plus regulation, limit what can be built; I don’t see oversupply soon.

Open versus closed ends hybrid: 63% already use both. Globally, good enough matters; U.S. security and continuity favor closed systems.

Silicon Data raised $30.5 million to build next-generation compute benchmarks across chips, tools and models—supporting products, software, and natural longs and shorts.

CME’s planned GPU futures would cash-settle against our H100 NeoCloud indices. Server owners could hedge rental rates; buyers could lock costs. Oversupply would show up in falling spot prices, futures, and server values.

At our stage, we back ambitious people, not necessarily customers or product. AI has lifted entry valuations, dangerously when there’s no traction; we want adaptable founders.

AI removes bottlenecks. A founder building a billion-dollar company with 100 people may hire 500 and go bigger.

Suno could be a major consumer app: anybody might make a song and share it. The fear is dilution as AI floods streaming services with tracks.

Label lawsuits are negotiation: Warner settled, BMG reached a deal, while Sony and Universal have not. The pressure is whether an incumbent ships similar tools first.

That’s it for Bloomberg Tech. Earnings have reinforced the AI infrastructure buildout, even as the biggest tech stocks lag. Nvidia later this month remains a major test of that feel-good trade.

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