AMD vs Intel: Both Positioned for AI Data Center Growth

The data-center push translated into tangible numbers: a revenue print that rose about 58% year over year, with total revenue near $10.25 billion and non-GAAP EPS around $1.37 for the quarter. Management framed the performance as a direct result of accelerating demand for AI infrastructure, with data center becoming the primary driver of both revenue and earnings growth.

Two big wins helped fuel the optimism on the demand side. One involved a major cloud provider committing to large-scale Instinct GPU deployments, and the other centered on a multi-year support program for EPYC CPUs that aligns with AI model training and inference workloads. AMD's gross margin on a non-GAAP basis hovered around 55%, underscoring the company’s disciplined go-to-market approach and its fabless manufacturing model relying on external foundries.

• Q1 2026 Data Center revenue: $5.78 billion, up 57% YoY
• Total revenue: $10.25 billion
• Non-GAAP EPS: $1.37
• Non-GAAP gross margin: about 55%
• Key partnerships: large AI cloud deals and OpenAI-ready commitments for Instinct GPUs

“Accelerating demand for AI infrastructure is real, and Data Center is now the primary driver of our revenue and earnings growth,” said AMD CEO Lisa Su in the company’s earnings remarks. The emphasis on Instinct GPUs and EPYC processors reflects a strategy that remains fabless, leaning on TSMC for fabrication and continuing collaboration with partners on high-bandwidth memory supply to support heavy AI compute loads.

Intel's Turnaround: Foundry Gains and AI Push with an Integrated Model

Intel presented a contrasting narrative, one of a company working through a strategic turnaround. The quarter featured a combination of improving demand in key segments and a notable restructuring charge that weighed on GAAP results. Despite the charge, the company delivered a positive picture on a non-GAAP basis, with revenue climbing year over year and AI-related and data-center demand showing resilience.

Intel reported quarterly revenue of about $13.58 billion, up roughly 7% from the prior year. The data-center and AI segment grew about 22%, while the Intel Foundry Services business rose in the mid-teens year over year. The quarter also saw a GAAP net loss of about $3.7 billion, largely tied to a $4.07 billion restructuring charge related to the Mobileye business, even as non-GAAP earnings per share came in around $0.29, above consensus expectations in several analyst models.

Intel’s margin picture remains tighter, with non-GAAP gross margins around 41%. Yet investors will note the company’s progress in foundry services, a cornerstone of the CHIPS Act-driven U.S. manufacturing push, and the continued adoption of Intel Xeon as a host CPU for AI accelerators, including deployments within NVIDIA DGX systems where appropriate. The company reiterated a long-term plan to scale its integrated device manufacturing capabilities while nurturing high-margin AI workloads across data-center customers.

• Q1 2026 Revenue: $13.58 billion, up 7.2% YoY
• Data Center & AI growth: +22% YoY
• Intel Foundry Services: +16% YoY
• GAAP net loss: $3.73 billion (due to a $4.07 billion restructuring charge)
• Non-GAAP EPS: $0.29
• Non-GAAP gross margin: ~41%

Analysts cautioned that while Intel’s results show momentum, the path to sustained profitability hinges on successful execution of its foundry strategy and the ability to monetize AI workloads at scale. A market watcher summarized the situation: “Intel’s reboot hinges on turning foundry promises into steady revenue, while maintaining AI competitiveness against fabless peers.”

Two Roads, One Market: The Intel: Both Positioned Data Tale

The market is watching how these two approaches will fare as AI data centers expand over the next 12 to 24 months. AMD remains anchored in a fabless model, leveraging external manufacturing and strategic partnerships to scale Instinct GPUs and EPYC processors for hyperscale and cloud customers. Intel, meanwhile, is leaning into a return to manufacturing heft, a government-backed component through CHIPS Act incentives, and a broader push to own more of the AI compute stack through its foundry and CPU/accelerator ecosystem.

The implied takeaway for investors is simple: both AMD and Intel are positioned to ride AI data-center growth, but the routes to sustained leadership diverge. AMD’s advantage lies in a more straightforward, gpu-and-processor-driven AI acceleration story with reliable margins. Intel’s upside rests on turning its foundry ambitions into durable revenue streams and expanding AI workloads in enterprise and cloud environments, even as it navigates near-term profitability challenges.

For the broader market, the landscape suggests that intel: both positioned data will be tested by execution, pricing discipline, and the pace of AI adoption across industries. The coming quarters will reveal whether AMD’s data-center-customer cadence can outpace Intel’s measured but steady foundry improvements, or whether Intel can translate its restructuring into a lasting, data-center-led growth regime.

Investor Takeaways: What This Means for Portfolios

Investors eyeing AI infrastructure exposure should weigh the following takeaways from the Q1 results. First, AMD’s data-center tailwinds look more pronounced this cycle, suggesting a higher near-term contribution to revenue and earnings from Instinct and EPYC deployments. Second, Intel’s strength in foundry services could compound over time as U.S. manufacturing incentives and a broader AI trajectory incentivize customers to diversify away from a single vendor.

From a valuation perspective, both names remain sensitive to expectations around AI revenue ramp, capital allocation, and margin trajectory. The next few quarters will determine whether AMD sustains a higher-margin, ASIC-driven growth story or whether Intel’s integrated manufacturing strategy delivers a different, potentially longer runway for AI compute and edge-to-cloud initiatives.

What to Watch Next: Key Catalysts for Q2 and Beyond

• Next-quarter AI workload adoption by hyperscalers and enterprise customers
• Foundry capacity expansions, technology roadmaps, and supplier constraints
• Gross margin normalization as AI mix grows and supply chains stabilize
• Regulatory and government policy developments impacting U.S. chips production
• New AI software partnerships and multi-year commitments from cloud players

As the AI data center cycle matures, investors are weighing how each company translates hardware leadership into durable earnings power. AMD appears poised to keep feeding AI workloads with its Instinct/EPYC stack, while Intel presses to convert its foundry investments into a steady revenue stream that can weather cyclic downturns in hardware demand.

Bottom Line: Diverging Paths, Shared Destination

In the evolving AI data-center landscape, AMD and Intel show two distinct but potentially complementary routes to capitalize on the same global demand trend. AMD’s momentum is anchored in its data-center engine and partner ecosystem, delivering robust growth in a quarter when AI-driven workloads dominated the narrative. Intel’s turnaround story remains a work in progress, but the company is making measurable progress on its foundry strategy and AI-related revenue streams, supported by a broader push to reassert U.S. manufacturing capabilities.

For investors, the key takeaway is that intel: both positioned data will require patience and scrutiny over the next several quarters as infrastructure spending cycles, supply dynamics, and the pace of AI deployment determine who lands the bigger prize in the AI data center race.