Broadcom faces $16 billion AI earnings test as VMware Private AI Cloud targets enterprise market

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Broadcom reports fiscal third-quarter earnings Sept. 2 with Wall Street expecting $29.5 billion revenue, up 85% year-over-year. The company unveiled VMware Private AI Cloud days before results, targeting enterprises running AI inference on private infrastructure. Analysts watch whether Broadcom can deliver on its $16 billion AI semiconductor revenue target.

Broadcom targets $16 billion AI semiconductor revenue in high-stakes earnings

Broadcom heads into its fiscal third-quarter earnings report on Sept. 2 with investor expectations running unusually high after Nvidia delivered blockbuster quarterly performance

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. Wall Street expects Broadcom to report adjusted earnings of $3.24 per share on revenue of roughly $29.5 billion, representing an 85% jump from a year earlier

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. The biggest number investors will watch is $16 billion—Broadcom's target for AI semiconductor revenue in the third quarter of fiscal 2026, making this figure a key benchmark for assessing the company's artificial intelligence momentum

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. AI semiconductor sales are expected to surge more than 200% year-on-year, highlighting how critical this segment has become to Broadcom's growth trajectory

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VMware Private AI Cloud reveals enterprise AI infrastructure strategy

Two days before its earnings report, Broadcom unveiled VMware Private AI Cloud at VMware Explore 2026 in Las Vegas, a platform designed to let companies run AI inference and autonomous software agents inside their own data centers rather than renting capacity from hyperscalers

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. This timing matters less than what the announcement reveals about Broadcom's strategic bet on enterprise AI. Broadcom estimates that 56% of enterprises are already running or planning to run production AI inference on private AI infrastructure, not on public cloud platforms

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. The platform includes VMware AI Factory, which can run more than 150 open-source and commercial AI models and works with AI accelerators from Nvidia and AMD

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. Broadcom also introduced AgentMinder, a governance system built to track and restrain what autonomous software agents can do inside enterprise systems, providing chain of custody capabilities between developers and multiple agents

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. The platform is certified with servers from Cisco, Dell, Supermicro, and Lenovo, meaning companies can deploy it without replacing existing hardware vendors

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Custom AI chips position Broadcom differently from Nvidia in AI spending cycle

Source: Benzinga

Source: Benzinga

Broadcom's AI opportunity differs fundamentally from Nvidia's dominant GPU business. King Lip, chief strategist at BakerAvenue Wealth Management, named Broadcom his top pick for the next evolution in custom AI chips and AI inference, noting that while Nvidia has performed particularly well in model training, Broadcom is positioned for large, repetitive AI workloads that increasingly characterize inference

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. Broadcom supplies custom AI accelerators and networking products used in large AI data centers, with demand driven by major technology companies seeking chips designed around specific, high-volume computing tasks

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. Lip emphasized that Broadcom does not need Nvidia to lose market share for its own AI opportunity to expand, suggesting the two companies benefit from different parts of growing AI infrastructure demand

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. Broadcom is also negotiating with lenders to raise up to $80 billion in debt to help finance AI chip deployments for companies including Anthropic, according to CNBC

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Stock pressure and investor scrutiny intensify ahead of results

Broadcom shares have entered the earnings event from a weaker position, pulling back sharply from recent highs as investors have become more cautious about lofty AI valuations

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. AVGO stock closed at $370.34 on Aug. 31, trading well below its all-time closing high of $480.77 set in June

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. Options markets are pointing to a sizeable move in Broadcom shares following the earnings announcement, with traders positioning for volatility that highlights uncertainty around whether the company will beat already-high expectations

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. Lip believes investors are becoming more demanding as the AI investment cycle matures, describing the shift as moving from "show me the model" toward "show me the money," with investors focusing increasingly on returns from massive AI capital expenditures rather than rewarding companies simply for increasing AI spending

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. Investors will be looking beyond headline revenue and profit numbers at AI semiconductor sales, next-quarter outlook, demand from hyperscalers, the custom accelerator pipeline, and networking growth as crucial indicators of whether Broadcom's AI momentum is sustainable

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