Analysts see AMD poised to capture further demand for AI data centers

• Analysts including DA Davidson upgraded NasdaqGS:AMD to a “buy” after Intel’s strong first-quarter earnings and outlook.
• The upgrade comes as Intel faces supply constraints for data center products due to growing demand for AI-related CPUs.
• Analysts argue that AMD’s EPYC server CPUs are positioned to capture even more data center share related to AI workloads.
• A shift in analyst perspective positions AMD and Intel as the two leading CPU providers for AI-focused data centers.

Advanced Micro Devices, trading as NasdaqGS:AMD, designs CPUs and GPUs that power PCs, game consoles, and data centers. New analyst attention is focused on AMD’s EPYC server chips used in cloud and enterprise infrastructure increasingly configured for AI workloads. The role of general-purpose computing in data centers is gaining attention from investors as AI training and inference increasingly relies on CPU and accelerator setups.

A key question for you as an investor is how AI-related demand for CPUs and accelerators will shape AMD’s PC, gaming, and data center mix over time. This recent analyst shift highlights that AI-centric data center exposure is a potential driver to watch, along with how cloud providers allocate spending between Intel and AMD in product roadmaps, ecosystem support, and future procurement cycles.

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Let’s take a look at which insiders are buying or selling Advanced Micro Devices following this latest news.

The analyst upgrade of Advanced Micro Devices following Intel’s strong first-quarter results signals a clear shift in investors’ thinking about AI-related CPU demand. Intel’s report points to tight supplies and strong demand for AI servers, which some analysts are reading as evidence that general-purpose CPUs are now becoming the centerpiece of AI data centers, along with GPUs. This matters to you because it positions AMD’s EPYC server CPUs and Instinct accelerators as direct beneficiaries of a broader CPU upcycle, not just a single company’s story. The double effect here is noteworthy. At the same time that sentiment for AI chips is lifting the group overall, supply constraints at one of the two major x86 vendors could drive increased demand toward AMD if customers look to diversify their suppliers.

How does this fit into the story of advanced microdevices?

• This upgrade confirms the existing view that AMD is a major player in AI infrastructure, with EPYC CPUs and data center GPUs positioned to benefit from powerful AI-related workloads in cloud and enterprise environments.
• Intel’s increased demand for CPUs challenges the more cautious part of the story focused on execution and competitive pressures, as it reads as validation for the entire x86 AI server category rather than a clear victory for AMD alone.
• Near-term fluctuations in Intel’s supply-constrained analyst sentiment may not be fully captured by longer-term narrative models that focus on multi-year revenue, margin, and capital intensity assumptions.

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Risks and rewards investors should consider

• ⚠️ With Intel’s strong performance in AI-related CPUs and the continued strength of Nvidia and Arm, competitive pressure in data center computing remains high, which could impact AMD’s pricing power and share growth.
• ⚠️ Analysts are warning of at least one minor risk, including concerns about insider trading, which some investors see as a signal to watch closely along with rapidly changing sentiment.
• 🎁 Revenues are projected to grow at approximately 31.76% annually, demonstrating expectations that its exposure to AI data centers, clients, and games can support meaningful revenue growth.
• 🎁 Earnings grew 159.8% over the past year. This confirms why investors are closely tracking AI-related catalysts such as the introduction of EPYC and new accelerator ramps.

Future points of interest

We’ll now focus on how AMD’s May 5 results align with these strong AI CPU expectations, particularly EPYC server demand, AI accelerator supply, and evidence that hyperscalers are shifting orders between Intel, Nvidia, and AMD. Also, keep an eye out for continued references to “supply-constrained” environments. That’s because it could impact how much incremental share AMD can realistically capture in AI-centric data centers. The key for investors will be whether data center growth, margin trends, and capital spending plans continue to support the richer expectations currently embedded in analyst models.

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This article by Simply Wall St is general in nature. We provide commentary using only unbiased methodologies, based on historical data and analyst forecasts, and articles are not intended to be financial advice. This is not a recommendation to buy or sell any stock, and does not take into account your objectives or financial situation. We aim to provide long-term, focused analysis based on fundamental data. Note that our analysis may not factor in the latest announcements or qualitative material from price-sensitive companies. Simply Wall St has no position in any stocks mentioned.

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