Valuation debate heats up in AI chips, with AMD-focused models flagging a premium while Nvidia remains the benchmark

The AI-chip rally has left investors asking a familiar question in a new form: is the market pricing the future too aggressively, or does the growth path still leave room for returns? In a recent market piece syndicated on Yahoo Finance, the debate was framed around whether Nvidia looks undervalued, AMD looks overvalued, or both, reflecting how strongly capital markets have been willing to pay for exposure to data center buildouts tied to artificial intelligence.

One of the clearest “overvalued” indicates coming from third-party valuation work is aimed at AMD rather than Nvidia. Simply Wall Street reported that AMD’s share price has risen sharply over the past five years, while its Discounted Cash Flow (DCF) check pointed to an intrinsic value that is below the current market price.

That DCF-style valuation uses a forecast of future free cash flow, then discounts it back to today to estimate what the business is worth. In the Simply Wall Street analysis, AMD’s DCF estimate implied roughly $404 per share and suggested the stock was about 28.1% above that estimate, which the model characterizes as overvalued on that specific approach.

Simply Wall Street also highlighted that the question is not whether AI demand exists, but how much of that demand is already reflected in today’s price. The write-up noted expectations around AI-driven data center demand could support investor growth assumptions, while also pointing to concerns about “rich earnings multiples” and the risk that sentiment could cool after a strong run.

The piece further suggested AMD was not a clean “bargain” on its broader set of valuation checks, stating AMD scored 1 out of 6 on those measures. It also cited a data point of about $8.7 billion of “latest twelve month” free cash flow as an input into its DCF work, underscoring that even the intrinsic-value argument depends on assumptions about cash-flow durability and growth.

This matters for the Nvidia-centered AI stack because AMD and Nvidia compete in parts of the data center GPU market, and the market tends to normalize relative valuations across them when AI capex cycles accelerate or slow. Nvidia, for its part, is widely treated by investors as the lead supplier for high-performance AI compute, so any perceived “value” shift in that peer set can influence how investors reprice the whole group, even without a change in end demand.

Still, there is an uncertainty clouding the valuation framing. The Yahoo Finance link that raised the “undervalued vs. overvalued” question was not available for direct quote-level review here, and no comparable official valuation metric from Nvidia or AMD was included in the materials accessible for this story. As a result, the most concrete quantitative claims in this roundup come from the third-party DCF-style analysis rather than from company disclosures or regulator-verified fundamentals.

Looking ahead, the practical watch-items for this kind of debate are straightforward. Investors will likely focus on whether AI infrastructure orders keep converting into sustainable margins and cash generation, and whether supply constraints or customer concentration risks ease or worsen. For valuation specifically, the next catalysts to monitor are guidance updates and any evidence that free cash flow growth can keep pace with the market’s pricing of near-term AI demand.