AMD shares remain priced far above Nvidia, as investors bet on continued AI infrastructure demand

AMD is trading at a steep premium to Nvidia on traditional valuation measures, even as both chipmakers ride the same wave of demand for AI infrastructure. In a recent market note, AMD (NASDAQ:AMD) was described as one of the top performing technology stocks in 2026, with shares up more than 130% year-to-date, versus Nvidia’s roughly 13% gain over the same period.

The comparison matters because it suggests investors are not only expecting AMD to participate in the AI spending cycle, but to do so at a faster pace or with stronger profitability prospects than Nvidia. The market note said AMD’s forward price-to-earnings (P/E) multiple is about 84.4, compared with Nvidia’s forward P/E of about 25.4. A forward P/E is an earnings valuation based on projected future results rather than current earnings.

The bullish case presented in the note centers on AMD’s exposure to AI accelerators, particularly its Instinct line of GPUs used in data centers. The post said demand for Instinct GPUs is accelerating as enterprises and cloud providers ramp up spending on AI infrastructure. It also argued that the opportunity for AMD is not confined to GPUs.

As AI workloads evolve, the market note pointed to a broader set of compute demands, including high-performance CPUs. It described robust CPU demand as artificial intelligence workloads shift from model training to inference, and as newer “agentic” AI applications emerge. In this framing, more complex real-time and decision-oriented workloads require additional compute, potentially supporting both AMD’s GPU and CPU businesses.

There was also an explicit acknowledgement in the note that the valuation gap is hard to justify at first glance. It said AMD’s premium appears difficult to reconcile with Nvidia’s lower multiple, but argued that investors are pricing in AMD’s ability to deliver strong earnings growth, gain share in AI markets, and benefit from continued elevated AI infrastructure spending.

Importantly, the post did not provide new company guidance, fresh earnings results, or detailed segment-level financial metrics. Instead, it relied on the idea that both companies are likely to sustain growth given the ongoing level of AI infrastructure investment, and that bottom-line improvements are a key part of the case for both names.

For context, the sector backdrop for both companies remains the buildout of data centers and the scaling of AI computing clusters. That environment has rewarded companies with products that can be deployed broadly across cloud and enterprise systems, and it has also intensified scrutiny of supply, performance, and ecosystem adoption.

Still, investors should weigh that a premium can persist for reasons that do not always show up immediately in near-term fundamentals. The note did not spell out what specific market share gains AMD has achieved recently, how quickly those gains translate into margins, or whether CPU demand will scale at the same rate as accelerator demand. It also did not address any risks to the AI spending cycle, including possible budget tightening or shifts in customer purchasing patterns.