Artificial intelligence (AI) has been a dominant investment theme on Wall Street in the past couple of years. Considering the rapid and broad usage of these technologies and their transformational nature, many research firms have come out with updated estimates about the AI market opportunity. McKinsey expects AI to add $13.6 trillion to $22.1 trillion in economic value to current global GDP by 2030, while PWC expects AI to increase economic activity by $15.1 trillion by 2030.
Although there is significant variation in these estimates, most firms agree that the impact of AI on the global economy will be sizable.
Nvidia(NASDAQ: NVDA) has already been one of the major beneficiaries of this fast-evolving trend, driven by extensive adoption of its AI-optimized chips. With the supply of these chips falling short of demand, the company has also benefited from significant pricing power. However, this dynamic seems on the verge of changing, as is evident by a comment from Microsoft(NASDAQ: MSFT) CEO Satya Nadella.
In a recent interview with the BG2Pod podcast, Nadella talked about the initial AI boom created by OpenAI’s launch of ChatGPT in 2022 and Microsoft’s efforts to catch up in anticipation of the higher demand for AI services. Nadella was asked about Microsoft’s constraints right now and said, “Power yes … I am not chip supply constrained.” He was referencing the high demand for electricity to power all the data centers being built, but that the company is in better shape going into 2025 on the chip end.
Nadella’s comments (the one above as well as others made during the interview) have been interpreted by some to imply the possibility that the company has already built a large inventory of Nvidia chips or found alternatives to meet its needs through efficiencies, demand still ramping up, minimal competition currently, partnerships, and custom-made AI chips.
Nadella’s comments do not seem to be positive news for Nvidia shareholders. However, there is one high-flying stock that can benefit from these developments.
There are a lot of reasons to be excited about custom AI chip manufacturer and advanced networking solutions provider Broadcom(NASDAQ: AVGO). A leading custom AI accelerators and AI-optimized networking solutions provider, the company posted a record revenue of $51.6 billion in fiscal 2024, implying a year-over-year jump of 44%. AI revenue surged at an even faster pace of 220% year over year to $12.2 billion in fiscal 2024.
Hyperscalers require high-bandwidth and low-latency networking components to build large AI clusters for training and inferencing complex large language models. Broadcom’s three major hyperscaler clients are planning to scale the size of their AI clusters from 500,000 to 1 million XPUs (accelerators). Larger AI clusters will require higher silicon content for networking (Ethernet switches, high-speed interconnects). Furthermore, the networking specialist also expects resources expended on networking content to rise from a range of 5% to 10% to a range of 15% to 20% of computational content for increased AI connectivity. Hence, Broadcom’s networking expertise is already being sought after extensively by many clients in large-scale AI deployments.
Against this backdrop, since Broadcom is a major networking player enabling the global AI infrastructure buildout, Microsoft may start using its networking components to expand its data center capacity. With Broadcom’s expertise in scaling up and scaling out (interconnection inside data racks and among data racks), it could become a preferred partner for even more clients building large AI clusters.
Microsoft partner and ChatGPT developer OpenAI has collaborated with Broadcom and Taiwan Semiconductor Manufacturing to build its first custom inference AI chip, which will help deploy advanced AI models in a production environment. This, in turn, is expected to diversify OpenAI’s chip supply and optimize costs.
As Microsoft focuses on custom chip development (including in-house-designed Maia accelerators), the company may also seek out Broadcom’s expertise in specialized ASICs (application-specific integrated circuits). Broadcom has already demonstrated its technological prowess by developing cutting-edge XPUs with 3-nanometer process technology.
Unlike Nvidia, which specializes in general-purpose GPUs, Broadcom works with its hyperscaler clients to develop customized solutions catering to their specific needs. Microsoft may prefer to work with Broadcom in long-term engagement to develop a multigenerational roadmap for its AI infrastructure requirements.
Furthermore, Broadcom may also see heightened demand for its AI-optimized server storage solutions, as Microsoft ramps up its data center capacity to meet increased demand. This may open up new growth opportunities for Broadcom in the coming years.
Broadcom is currently trading at about 21.1 times trailing-12-month sales, significantly higher than its historical three-year average price-to-sales (P/S) multiple of 13.04. However, considering the company’s robust growth potential, this rich valuation seems justified. Plus, Microsoft’s chip sufficiency may also prove to be a major tailwind for Broadcom in the coming years.
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Manali Pradhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Microsoft, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.
