Portfolio manager says Nvidia’s long-term AI case is intact, but favors “picks and shovels” elsewhere

Nvidia remains central to the artificial-intelligence boom, but a portfolio manager speaking on Yahoo Finance said the stock’s performance this year has been weaker than other areas of the AI trade. The manager characterized Nvidia’s “long-term story” as still intact, while suggesting investors looking for exposure to the broader buildup of AI infrastructure may find more relative value in companies tied to the supply chain of leading-edge chips.

The discussion focused less on any new change to Nvidia’s business and more on how investors are allocating capital across the AI complex. The manager said Nvidia’s stock this year has been outperformed by other parts of the AI trade, indicating that market leadership may be rotating even as demand for accelerated computing continues.

Rather than pairing that view with a direct criticism of Nvidia’s outlook, the manager named what investors often call “picks and shovels” in technology: firms that provide the tools and manufacturing capacity that allow advanced chips to be built and scaled. In this case, the manager pointed to Taiwan Semiconductor Manufacturing Company (TSMC) and ASML as examples of infrastructure beneficiaries.

TSMC is the contract chipmaker that manufactures a wide range of advanced processors for technology companies, meaning its fortunes are closely tied to how quickly customers ramp production of cutting-edge chips. ASML, meanwhile, supplies key semiconductor manufacturing equipment, including lithography systems used to produce increasingly complex chip geometries. Together, the “picks and shovels” framing reflects a view that AI growth depends not only on chip designers but also on the manufacturing ecosystem behind them.

The portfolio manager’s comments also underscored a common dynamic during major market themes. When AI spending expands, investors often spread exposure across multiple layers, from designers of AI accelerators to the factories and specialized equipment that make those accelerators possible. In that environment, a single high-profile name can still be viewed as fundamentally important while still trading behind peers that the market is treating as tighter or more constrained bottlenecks.

Even with the preference for TSMC and ASML, the remarks did not provide a detailed breakdown of valuation metrics, expected earnings, or specific catalysts in the cited Yahoo Finance segment. The program also did not lay out an explicit model for timing, such as whether the manager expected relative outperformance to persist into particular quarters.

In the broader semiconductor and AI hardware sector, the gap between “long-term story” and “what has worked so far” matters for investors managing portfolios across cycles. It suggests that while Nvidia may remain a durable beneficiary of AI demand, the market’s short- and medium-term behavior can still reward companies viewed as supply-constrained, hardware-enabling, or positioned to capture manufacturing spend.

A key caveat is that the segment, as described, offers directional preferences rather than a comprehensive investment case. The discussion did not specify target positions, risk controls, or quantified forecasts, so the practical takeaway is limited to the manager’s relative-rotation view within the AI complex, not a full thesis for each stock.