Advanced Micro Devices Inc. (NASDAQ: AMD) shares surged about 187% year-to-date in 2026, outpacing Nvidia Corp. (NASDAQ: NVDA) by roughly 165 percentage points. This marks the widest performance gap between the two semiconductor rivals since the launch of ChatGPT.

The divergence reflects a shift in Wall Street’s valuation of the AI infrastructure stack. While the initial AI boom favored GPUs for model training, the rise of agentic AI has increased demand for central processing units (CPUs), where AMD holds a strong position with its EPYC server line.

Agentic AI drives CPU demand

Agentic workflows require continuous coordination, planning, and tool execution, shifting workload from single-output GPU processing to persistent CPU operations. On AMD’s first-quarter earnings call in May, CEO Lisa Su noted that server deployment ratios have moved from one CPU for every four-to-eight GPUs toward a 1:1 configuration.

Following this shift, AMD raised its 2030 server CPU market forecast from $60 billion (growing 18% annually) to over $120 billion (growing over 35% annually). Su identified "agentic sandboxes" as the primary driver of this expanding market.

Meta Muse accelerates adoption

Meta Platforms Inc. (NASDAQ: META) launched its Muse agent, which quickly topped Apple’s App Store. Apptopia data cited by TechCrunch indicates Muse drew 1.8 million iOS downloads in the U.S. and Canada within its first 12 days, surpassing ChatGPT’s 1.3 million over a similar timeframe.

The market reacted immediately, sending AMD shares up nearly 10% on Monday, crossing a $1 trillion market capitalization for the first time. Meta CEO Mark Zuckerberg described Muse as a "24/7" assistant, emphasizing the always-on nature of agentic workloads that rely heavily on CPU power.

Performance context and market cap

Despite the 2026 surge, Nvidia retains a significant lead in cumulative returns since the AI boom began. From early 2023, Nvidia stock rose about 15.6 times, compared to 9.5 times for AMD. Nvidia’s market value stands at approximately $5.5 trillion, more than five times AMD’s current valuation.

What the numbers show

The data reveals a decoupling of hardware layers within the AI ecosystem. While AMD’s 187% YTD gain suggests investors are pricing in a structural shift toward CPU-heavy agentic workloads, Nvidia’s 22% gain indicates continued stability in GPU demand. Crucially, AMD’s need to outperform Nvidia by another 64% just to match its cumulative return since 2023 highlights that this year’s rally is a revaluation of future potential rather than an immediate displacement of Nvidia’s dominant market share.

Advanced Micro Devices Inc. (NASDAQ: AMD) reached a new all-time high of $606.98 on Monday, rising 8.4% to extend its 2026 advance to roughly 183%.

The rally followed significant infrastructure commitments from major technology firms. OpenAI agreed to deploy 6 gigawatts of AMD Instinct GPUs across multiple hardware generations. This rollout begins with a 1-gigawatt deployment of MI450 units in the second half of the current year.

Strategic Partnerships

Oracle Corp. (NYSE: ORCL) separately committed to purchasing 50,000 MI450 accelerators over the same timeframe. These agreements underscore AMD's expanding footprint in the artificial intelligence data center market.

Raymond James upgraded AMD shares to Strong Buy with a price target of $641, citing the depth of these catalysts.

What the Numbers Show

Management described the OpenAI arrangement as immediately accretive. The company projects a path to tens of billions in annual AI data center revenue starting from 2027. This forward-looking guidance links current hardware deployments directly to long-term revenue scaling, highlighting a shift from unit sales to sustained power-based infrastructure contracts.