Chip-market watchers highlight Broadcom, Marvell, AMD and Arm as key “non-Nvidia” bets for 2030

A recent investing post circulating through Yahoo Finance’s market coverage is urging readers to look beyond NVIDIA and consider four “non-Nvidia” chip-related stocks that, in the post’s view, could generate substantial gains by 2030. The companies named are Broadcom, Marvell Technology, Advanced Micro Devices, and Arm. The premise is that the artificial intelligence buildout is not only about one vendor’s accelerators, but also about the broader stack that moves data, connects systems, and supplies chip IP used by countless device makers.

The post frames its thesis as a value-growth exercise rather than a single near-term catalyst. It does not present new official disclosures from the named companies, at least not in the material available here. Instead, it relies on scenario-style projections that assume continued demand for AI-capable compute and networking, along with ongoing industry adoption of chips and architectures built using different parts of the semiconductor supply chain.

Broadcom is positioned in the post as a beneficiary of infrastructure spending, reflecting Broadcom’s role in semiconductors and networking-related components that support enterprise and data center environments. Marvell is presented as another infrastructure-focused chip supplier that could benefit as data centers expand high-speed connectivity and storage capabilities. The post also includes AMD, which is widely used in AI and data center computing along with its traditional CPU and GPU offerings, and it highlights Arm, whose business model centers on intellectual property (IP) licenses that enable other companies to design chips using Arm’s instruction set and related technology.

Arm’s inclusion underscores a central theme of “broad AI plumbing” arguments. Even when end products are assembled by systems companies, the underlying chip designs and architectures can rely on licensed technology and platforms. In that sense, the post’s list reflects a view that long-term AI spending can extend to companies whose products are embedded throughout the stack, not only at the point of accelerator computation.

For readers trying to translate this kind of post into real-world decision-making, the key limitation is the lack of company-specific new information in the material available here. The post’s claim is essentially a projection about what future market conditions could imply for those four stocks, rather than a report of disclosed guidance, filings, or operational updates released by any of the companies.

From a sector perspective, the argument fits a broader debate in semiconductors: how value gets distributed across the AI supply chain. NVIDIA is a focal point because it has been strongly associated with AI accelerators. But investors who want exposure beyond a single supplier often look to firms that supply networking, compute, storage, or architectural building blocks, because those categories can scale alongside AI workloads even if no single vendor dominates every layer.

What remains unclear from the available information is the specific methodology behind the post’s “could be worth” framing, such as which financial metrics are assumed, what growth rates are implied, and how much probability the author assigns to different adoption paths. The named companies and broad thematic drivers are identifiable, but the supporting assumptions behind the magnitude of the projected outcomes are not provided in the material available here.

Going forward, market watchers will likely focus less on any single price target-style projection and more on signs that AI spending continues to translate into revenue and margin expansion across the supply chain. For these companies, that means watching for evidence in product demand indicates, data center networking and compute order patterns, licensing and royalty trends for IP models, and how competition reshapes pricing and share. Any more concrete read would come from direct company disclosures, such as earnings reports, guidance updates, and regulatory filings.