Intel’s Major Earnings Call: Key Insights and Highlights You Need to Know

Please note that this article is not investment advice. The author does not hold any positions in the stocks mentioned.

Intel Corporation (ticker: $INTC) has experienced a significant surge in its stock value following a successful earnings report for Q1 2026, where the company exceeded revenue expectations. Strong forecasts for Q2 have also contributed to this positive momentum. Notably, the Foundry and Data Center and AI (DCAI) segments have showcased impressive growth, whereas the Client Computing Group (CCG) has faced challenges, primarily due to inflationary effects and ongoing issues with RAM supply.

Intel Foundry revenue fluctuations between Q1 '25 and Q1 '26 — Source: Intel Q1 ’26 Earnings Presentation

Intel DCAI revenue increase from Q1 '25 to Q1 '26

CCG segment revenue and operating income fluctuation

Some critics might argue that the recent uptick in Intel’s stock price lacks sufficient justification given the quarterly results. However, my examination of Intel’s recent earnings call leads me to a different conclusion. Here are the critical highlights from the call.

Intel Foundry: Advancements in 18A and 14A

“We have made steady progress with Intel 4 and Intel 3, and 18A yields are now running ahead of the internal projections, representing a meaningful inflection in our execution and our factory finished goods output.”

– Lip-Bu Tan, Intel Earnings Call Q1 ’26

The success of Intel Foundry’s flagship 18A process is critical for the company’s future. Former CEO Pat Gelsinger’s famous remark, “I’ve bet the whole company on 18A, ”emphasizes the stakes involved. The 18A technology underpins a wide range of products from low-end offerings like Wildcat Lake to advanced solutions such as Clearwater Forest. Thus, enhanced yield rates for 18A are essential, especially as older nodes face capacity restrictions. Exceeding internal yield expectations signals robust health for this technology and bolsters Intel’s ability to attract external customers.

“Intel 14A maturity yield and performance are outpacing Intel 18A at a similar point in time, and we continue to develop PDKs with multiple customers actively evaluating the technology….We expect to see earlier design commitments emerge beginning in the second half of 2026 and expanding into the first half of 2027.”

– Lip-Bu Tan, Intel Earnings Call Q1 ’26

The development and yield of the 14A process continue to progress well. If Intel meets its projections, we could witness significant external customer commitments starting in the latter half of 2026. Although no internal products have yet been disclosed for the 14A process, projections for high-volume production of Intel products using this technology are speculated to commence around H2 2027, suggesting that announcements regarding 14A may be on the horizon.

Intel’s latest foundry process roadmap. Image: Intel Corporation

Data Center and AI (DCAI): A Promising Outlook

During the earnings call, when discussing Intel’s position relative to competitors like x86 and ARM, Lip-Bu Tan highlighted the company’s distinct advantages in leveraging advanced packaging and foundry-level integration for XPUs (mixed-architecture solutions).

“The other part is, I think we have a very big advantage with not just the CPU, we have advanced packaging and foundry….Overall, I think it’s an exciting time that we call it the XPU. Besides CPU, we’re also quietly building up the GPU with a new hire. We’re moving into the accelerators, so we can serve customers from the edge to physical AI, driving new initiatives that enhance our competitiveness.”

– Lip-Bu Tan, Intel Earnings Call Q1 ’26

Following the setbacks related to Falcon Shores—a discarded GPU accelerator—Intel has adjusted its strategy for AI accelerators. Recent announcements include Jaguar Shores, a rack-scale solution shrouded in mystery, alongside Crescent Island, an economical accelerator built on the Xe3P architecture with substantial memory capabilities (160GB of LPDDR5X).

While these new offerings may introduce a competitive edge, the absence of a direct counter to AMD’s MI350 and forthcoming MI450 series complicates claims that Intel has firmly established itself in the AI inference accelerator arena. Tan’s insights suggest that if Intel has indeed expanded its GPU division for inference accelerators, the impending rivalry could pose a serious threat to AMD’s future prospects, given Intel’s plan to develop a fully equipped, HBM-integrated accelerator.

Emerging Dynamics: CPU Dominance in Agentic Workloads

Intel’s CFO David Zinsner provided insights into the total addressable market (TAM) for CPU products, discussing shifting dynamics in workload allocation.

“If you look at training solutions, they’re generally running in the kind of seven to eight GPUs to one CPU. As we look into inference, it’s probably getting to the three to four to one kind of level. As you get into agentic and multi-agent, it’s potentially even flipping in the other direction. That’s one way to think about it. As the growth rate accelerates, it will become a significant part of the AI TAM.”

– David Zinsner, Intel Earnings Call Q1 ’26

With the rise of agentic workloads, the possibility that CPUs could outnumber GPUs becomes increasingly plausible. This scenario envisions multiple CPUs managing orchestration in the control plane, while a single GPU handles large language model inference. Such a shift could redefine traditional AI deployment structures, which typically rely on one CPU supporting several GPUs in parallel.

An individual in lab attire holding an Intel Xeon processor — Image Source: Intel

Should this trend materialize, Intel’s advanced packaging methods and robust supply chain management could provide a substantial competitive edge, as emphasized by Lip-Bu Tan during the call. The evolution of agentic AI warrants close observation, and Intel’s current optimism appears well-founded.

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