Hedge fund switches AI-chip exposure, selling NVIDIA shares and buying AMD in a trade highlighted by Yahoo Finance

A hedge fund has reportedly sold shares of NVIDIA and bought shares of AMD, according to a Yahoo Finance report published on Aug. 25, adding to the ongoing investor debate over which AI chipmaker has the stronger near-term setup.

The article framed the trade as a “which is the better buy” comparison between NVIDIA and AMD, two companies that investors frequently benchmark against each other as AI compute demand continues to drive spending by cloud providers and large enterprises.

Beyond the headline decision to move from NVIDIA to AMD, the Yahoo Finance post did not provide granular details in the information available here, such as the identity of the hedge fund, the size of the position change, the time window for the trades, or the rationale attributed to the manager in the report.

For NVIDIA, the company’s public footprint in AI spans data center accelerators and related software and platforms used to train and run AI models. For AMD, the core competitive story is its efforts to sell comparable AI acceleration hardware and to expand its software ecosystem to support deployments across major data center environments.

In markets that treat AI chips as a high-growth, high-expectations category, trades like this are often less about a single quarterly datapoint and more about how investors expect demand, product roadmaps, and competitive positioning to evolve over multiple product cycles.

The most concrete take-away from the reporting, based on what is available here, is not that the fundamentals have shifted decisively for either company, but that at least one professional investor chose to reduce exposure to NVIDIA and increase exposure to AMD at the time of the reported transaction.

It is also unclear what specific metric, valuation framework, or technical thesis the hedge fund used. Without additional disclosed context, readers should treat the report as an indicator of sentiment rather than as a complete investment argument for either stock.

Looking ahead, investors will likely continue to focus on evidence that matters to AI hardware buyers: how quickly new accelerator generations ramp, whether software stacks improve performance and adoption, and whether customers expand deployments at a pace that can absorb competitive pressure. The market will also watch for any public updates from both companies that speak to product availability and demand trends.