Dan Ives points to Nvidia as a prime AI infrastructure pick, while Apple remains in the debate

A closely watched Wall Street view is once again putting Nvidia and Apple side by side as investors try to map the next wave of artificial intelligence spending to specific winners. In an article on Yahoo Finance dated Oct. 13, analyst Dan Ives argued that the AI market could reach roughly $4 trillion in scale, and he highlighted a shortlist of companies he sees as beneficiaries. The comparison in the piece centers on Nvidia Corporation, listed in the U.S. as NVDA, versus Apple Inc., listed as AAPL.

Ives’ framing places Nvidia in the core of the AI build-out, reflecting how AI requires specialized computing hardware to train large models and to serve them at scale. The Yahoo Finance piece positions Nvidia as the kind of supplier investors often target when AI spending shifts from experiments to larger deployments.

Apple is included in the discussion, but in a different way. Rather than being directly characterized as a supplier of AI data-center accelerators in the description of the article, Apple appears as an “also in the mix” name, reflecting how AI can show up across consumer devices, software experiences, and enterprise use cases that ride on top of broader computing platforms. The article’s premise suggests investors should think about how AI adoption could flow into Apple’s ecosystem even if Apple is not the only company selling the underlying infrastructure.

Beyond Nvidia and Apple, the same Yahoo Finance report points to additional companies that Ives believes stand to gain from AI expansion, naming Microsoft, Palantir, and CrowdStrike in the broader list. The inclusion of software and analytics-focused companies indicates that the bullish thesis is not limited to chipmakers, but extends to downstream layers where AI is integrated into products and workflows.

For investors, the NVDA-versus-AAPL question is ultimately about timing and exposure. Nvidia’s business is tied to a segment of the technology stack where demand can scale rapidly with training and inference needs. Apple’s exposure is typically more diffuse, with AI value potentially realized through device capabilities, operating-system features, and software services that may take longer to translate into measurable results.

The wider technology context is that AI investment is increasingly treated as both an infrastructure build and an application upgrade cycle. Even when end-user adoption is gradual, spending on compute, software tooling, and security can move first. That dynamic can keep markets focused on suppliers that sit closest to the spending decision, while also leaving room for companies that monetize AI later through user-facing products.

The Yahoo Finance report does not provide, in the information available here, specific financial targets, valuation comparisons, or detailed “why now” timing catalysts for each company. It also does not spell out the particular mechanism by which Apple would capture value from the $4 trillion AI wave in the brief description of the piece, leaving the precise path to upside unclear.

What to watch next is whether Ives or other analysts articulate a clearer split between “picks and shovels” (hardware and enabling infrastructure) and “application layers” (software, services, and end-user monetization), and how management teams communicate any AI-related customer demand or product milestones that could support those views. Until then, the debate is less about whether AI spending is expected to grow, and more about which companies are positioned to convert that growth into near-term results.