Analyst argues Apple could turn its device footprint into an AI advantage, but details remain unclear

Apple’s role in the AI race is increasingly framed not just around who builds the best model, but who can deliver useful AI features to hundreds of millions of devices. In a recent interview with Yahoo Finance, Ross Gerber, CEO of Gerber Kawasaki Wealth and Investment Management, argued that Apple has the capacity to be one of the biggest winners as AI becomes embedded across consumer and enterprise workflows.

Gerber’s core point, as presented in the interview preview, is that Apple is positioned to benefit from AI through its product reach rather than only through raw research output. The implication is that Apple can package AI into familiar experiences on iPhone, iPad, and Mac, and then monetize those capabilities through upgrades, services, and developer ecosystems.

The interview also arrives as market attention turns to Apple’s upcoming developer event, WWDC, which has become a key venue for indicating product direction for the year ahead. Reporting and commentary around WWDC has centered on the possibility that Apple will more deeply integrate AI into iOS, and that it may refresh Siri, Apple’s voice assistant, to compete more effectively in a world where users expect AI capabilities in everyday tasks.

Even with that general framing, much of the specifics that would allow investors to underwrite an “AI winner” narrative depend on what Apple actually demonstrates and ships. A separate market commentary highlighted the “picks-and-shovels” angle, suggesting that if Apple delivers meaningfully rebuilt AI experiences, the downstream impact could include a faster upgrade cycle and knock-on benefits for parts of the Apple supply chain and key technology partners. That view is contingent on Apple making AI features compelling enough to drive device replacement decisions.

Apple’s official communications have not, in the public material reviewed for this story, provided the granular AI road map that would confirm exactly how quickly Siri and other on-device experiences will change. Apple maintains a newsroom that typically hosts product and platform announcements, but the interview itself, as described in the available preview text, does not provide verifiable new engineering details. In other words, the interview sets out a strategic confidence argument, while the concrete deliverables remain to be demonstrated through Apple’s own disclosures.

There is also a structural question hanging over any claim that Apple will win AI: who controls the bottlenecks. With generative AI, performance can be constrained by compute availability, model access, latency, on-device privacy tradeoffs, and the ability to deliver consistently useful results. Apple’s advantage, if it materializes, would likely come from blending these factors into a product experience that feels reliable to end users, while leveraging its existing operating system distribution.

Looking ahead, investors and developers are likely to focus on whether Apple’s AI messaging becomes specific enough to move from optimism to proof. The market will probably ask whether Apple’s planned AI updates translate into new capabilities that are clearly differentiated from incumbents, and whether Apple can tie those capabilities to an upgrade narrative or services revenue over time. Until Apple details what it will ship, Gerber’s thesis should be read as a directional bet grounded in Apple’s distribution strength, not as a confirmed operational plan.