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Broadcom faces high-stakes earnings test as AI expectations soar - Broadcom's Big Earnings Test
Broadcom faces high-stakes earnings test as AI expectations soar 1/10 Broadcom's Big Earnings Test Broadcom is heading into its latest earnings report with investor expectations running high after Nvidia delivered a blockbuster quarterly performance. The semiconductor giant's results will be closely watched for signs that AI infrastructure spending remains strong and that Broadcom can deliver on its ambitious AI revenue targets.(Sources: Simply Wall St, TradingView) 2/10 The $16 Billion AI Number The biggest number investors will be watching is $16 billion. Broadcom has set a target of around $16 billion in AI semiconductor revenue for the third quarter of fiscal 2026, making the figure a key benchmark for investors assessing the company's AI momentum. 3/10 Nvidia Has Raised the Bar Nvidia's strong results have raised the bar for other AI-linked chipmakers. Its upbeat outlook reinforced expectations that spending on AI infrastructure remains robust, increasing pressure on Broadcom to deliver a strong quarter and provide an equally convincing outlook. 4/10 What Wall Street Expects Broadcom is expected to report quarterly revenue of roughly $29.5 billion, up about 85% from a year earlier, while adjusted earnings per share are projected at around $3.24. The estimates underline how much growth investors are already expecting from the company. 5/10 Stock Has Already Taken a Hit Broadcom shares have entered the earnings event from a weaker position. The stock has pulled back sharply from its recent highs as investors have become more cautious about lofty AI valuations and whether the company can sustain its rapid growth trajectory. 6/10 Traders Expect a Big Move Options markets are pointing to a sizeable move in Broadcom shares following the earnings announcement. Traders are positioning for volatility, highlighting the uncertainty around whether the company will beat already-high expectations or disappoint investors with its outlook. 7/10 AI Is Broadcom's Growth Engine AI has emerged as one of Broadcom's most important growth drivers. The company supplies custom AI accelerators and networking products used in large data centres, with AI semiconductor revenue expected to surge more than 200% year-on-year. 8/10 Custom Chips vs Nvidia's GPUs Broadcom's AI opportunity differs from Nvidia's dominant GPU business. Broadcom benefits from demand for custom AI accelerators designed for major technology companies, as well as high-speed networking equipment required to connect increasingly large AI data centres. 9/10 What Investors Need to Watch Investors will be looking beyond the headline revenue and profit numbers. AI semiconductor sales, the next-quarter outlook, demand from hyperscalers, the custom accelerator pipeline and networking growth will be crucial indicators of whether Broadcom's AI momentum is sustainable. 10/10 The Bottom Line Broadcom's earnings arrive at a crucial point for the AI trade. Nvidia's strong performance has reinforced confidence in AI spending but has also increased expectations for Broadcom. With the stock already under pressure, its results and guidance could determine whether investors view the recent decline as a buying opportunity or a warning that AI expectations have become too demanding.
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Broadcom Is Top Pick For AI's Next Big Shift: Analyst - Broadcom (NASDAQ:AVGO)
Broadcom Inc. (NASDAQ:AVGO) stock traded nearly flat Wednesday. Investors awaited the company's fiscal third-quarter 2026 results, due after the closing bell on Sept. 2. Wall Street expects Broadcom to report adjusted earnings of $3.24 per share on revenue of $29.43 billion. Meanwhile, BakerAvenue Wealth Management views Broadcom as a leading play on the next phase of artificial intelligence spending. The firm expects demand to shift from training large models to running AI applications at scale. King Lip Sees Broadcom Winning In AI Inference King Lip, chief strategist at BakerAvenue Wealth Management, named Broadcom his top pick for the next evolution in custom AI chips and AI inference. Lip said NVIDIA Corp. (NASDAQ:NVDA) has performed particularly well in the model-training market, while Broadcom is positioned for large, repetitive AI workloads that increasingly characterize inference. Trending "NVIDIA has been great for training models, but for huge, repetitive type workloads, Broadcom is our top pick, uh, for the next evolution in custom AI chips and inference play," Lip said. He added that Broadcom does not need NVIDIA to lose market share for its own AI opportunity to expand, suggesting the two companies can benefit from different parts of growing AI infrastructure demand. AI Trade Shifts From Spending To Returns Lip believes investors are becoming more demanding as the AI investment cycle matures. He described the shift as moving away from "show me the model" toward "show me the money." He expects investors to focus increasingly on returns from massive AI capital expenditures rather than rewarding companies simply for increasing spending. Lip identified the transition from AI training toward inference as another major theme. Inference involves deploying trained models across specific applications and repetitive workloads, an area where he sees Broadcom's custom-chip exposure becoming increasingly relevant. Software Winners Need Data And Critical Workflows Lip also expects the AI investment opportunity to broaden beyond semiconductor companies. He said the easiest phase of the AI trade centered on buying chip stocks, while investors now need to identify which software companies can turn AI infrastructure into revenue. Lip believes software companies with proprietary data and mission-critical workflows have the strongest opportunity to benefit. Companies without meaningful competitive advantages face greater disruption as AI capabilities improve. Revenue Quality And ROI Remain Risks Lip nevertheless identified several risks around the broader AI trade, including revenue quality, interest rates, return on investment and growing competition. He called questions around AI revenue quality a "yellow flag" rather than a red flag, particularly as financing arrangements between technology suppliers and customers become more complicated. "When suppliers start to help finance their customers, investors should pay attention," Lip said. He nevertheless said underlying AI demand remains clearly real, while investors need to distinguish organic customer demand from revenue supported by financing or other stimulus. Lip also expects higher interest rates to pressure AI companies whose earnings lie further in the future. At the same time, he said investors increasingly want companies to demonstrate actual returns on AI capital spending. He also flagged emerging competitors such as DeepSeek and Kimi, saying rising costs could encourage customers to seek lower-cost AI alternatives. Despite those broader risks, Lip sees Broadcom as particularly well positioned as AI workloads move toward inference and demand expands for customized chips designed around specific, high-volume computing tasks. Analyst Consensus & Recent Actions: The stock carries a Buy rating with an average price forecast of $507.91. Recent analyst moves include: * RBC Capital: Sector Perform (Maintains Forecast to $400.00) (Aug. 26) * BMO Capital: Initiated with Outperform (Forecast $455.00) (Aug. 21) * Erste Group: Downgraded to Hold (July 7) Top ETF Exposure * iShares Semiconductor ETF (NASDAQ:SOXX): 8.12% Weight * iShares Expanded Tech Sector ETF (NYSE:IGM): 8.49% Weight * Invesco PHLX Semiconductor ETF (NASDAQ:SOXQ): 9.94% Weight Significance: Because AVGO carries such a heavy weight in these funds, any significant inflows or outflows for these ETFs will likely force automatic buying or selling of the stock. Price Action AVGO Stock Price Activity: Broadcom shares were down 0.10% at $369.30 at the time of publication on Wednesday, according to Benzinga Pro data. Image via Shutterstock Media Jim Cramer Calls NVIDIA 'Radically Cheap,' Urges Blockbuster $500 Billion Buyback Is NVIDIA stock underpriced? Jim Cramer and Ben Reitzes point to open AI models, physical AI, and data center financing as key catalysts. 3 min read Read this article Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Broadcom's earnings loom, but this reveal came first
For many companies, timing their biggest product launches right before earnings is no accident. Two days ahead of its fiscal third report, Broadcom Inc. (AVGO) used a conference in Las Vegas, an event most investors ignore, to unveil a sweeping AI governance platform. The timing matters less than what the announcement reveals about a bet Broadcom has already made with its balance sheet. That conference was VMware Explore 2026 in Las Vegas. Broadcom has run the VMware business since its $69 billion acquisition closed in 2023, and it has mostly used the platform to sell software bundles to existing enterprise customers. This week, the pitch changed. Broadcom introduced VMware Private AI Cloud, a platform meant to let companies run AI inference and autonomous software agents inside their own data centers instead of renting capacity from a public cloud provider, according to a Broadcom press release. That distinction is important. Most of the AI infrastructure story so far has centered on hyperscalers building bigger data centers and chip suppliers financing that buildout. Broadcom just told the market that a larger share of AI demand may never touch hyperscalers at all. Broadcom estimates that 56% of enterprises are already running or planning to run production AI inference on a private cloud, according to the company's announcement. That figure is the real thesis behind this week's reveal. A majority of large companies want AI running on infrastructure they control, not infrastructure they rent from someone else. Broadcom's AgentMinder governs autonomous AI agents Broadcom paired the private cloud pitch with tools built to police AI agents, not just run them. VMware AI Factory can run more than 150 open-source and commercial models, and it works with accelerator hardware from Nvidia and AMD, the company said. Broadcom also introduced AgentMinder, a system built to track and restrain what autonomous AI agents can do inside a company's systems. It's a feature most enterprises would be interested in. According to Broadcom CIO Alan Davidson, the tool provides "chain of custody capabilities between developers and multiple agents" across the company's own operations. Dell, HPE, and Nvidia's own enterprise reference architecture have pitched similar on-premises AI stacks for two years, with limited uptake. So what does Broadcom have that they don't? VMware's installed base: Tens of thousands of enterprises already running vSphere and vSAN won't need to rip out infrastructure to adopt a new platform. SOPA Images / Getty Images Broadcom stock heads into earnings already moving Broadcom shares closed at $370.34 on Aug. 31, up 0.42% for the day. The stock trades well below its all-time closing high of $480.77, set in June, reflecting a broader pullback in AI infrastructure names since early summer. The bigger event lands Wednesday, Sept. 2. Broadcom reports fiscal third-quarter results after market close that day, and analysts expect adjusted earnings of $3.24 per share on revenue near $29.4 billion, up from $15.95 billion a year earlier, according to a consensus estimate reported by Seeking Alpha. Investors are also watching a separate story. Broadcom is negotiating with lenders to raise up to $80 billion in debt to help finance AI chip deployments for companies including Anthropic, according to CNBC. Broadcom's strategy at a glance: * More than 150 open source and commercial AI models can run on VMware AI Factory, giving enterprises flexibility to switch providers without rebuilding infrastructure. * Certification with servers from Cisco, Dell, Supermicro, and Lenovo means companies can deploy the platform without replacing existing hardware vendors. * A financing arrangement worth up to $80 billion in debt, reported by CNBC, would fund AI chip deployment for external customers such as Anthropic, separate from the enterprise software push. Broadcom deal finances custom AI chips Most of the market's attention on Broadcom sits with the debt financing story, because the numbers are enormous and the structure is unusual. That deal, routed through a special purpose vehicle, finances custom chips for a handful of AI labs racing to build frontier models. This concentration risk is precisely why the enterprise push matters. It gives Broadcom a second, more diversified AI revenue stream that doesn't depend on a handful of frontier labs remaining solvent. The VMware announcement is a different bet aimed at a different customer. It targets the much larger and more conservative pool of enterprises that run payroll and manage customer data, not frontier models, and that have spent decades worrying about compliance and control. The AI infrastructure story has mostly been told as a conversation between chimakers and hyperscalers. Broadcom's VMware push is a bet that a third group, the ordinary enterprise, ends up mattering just as much to how AI actually gets deployed. If that bet pays off, the winners in AI won't only be the companies with the biggest data centers. They will be the ones that gain access to normal sectors by making private AI infrastructure boring enough for a bank, hospital, or insurer to trust. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published September 1, 2026 at 3:33 PM.
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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 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 earlier2
. 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 momentum1
. AI semiconductor sales are expected to surge more than 200% year-on-year, highlighting how critical this segment has become to Broadcom's growth trajectory1
.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 platforms3
. 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 AMD3
. 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 agents3
. The platform is certified with servers from Cisco, Dell, Supermicro, and Lenovo, meaning companies can deploy it without replacing existing hardware vendors3
.
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 tasks1
2
. 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 demand2
. 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 CNBC3
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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 June3
. 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 expectations1
. 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 spending2
. 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 sustainable1
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