Intel Soars 20% as CPU Returns to Center Stage in the Agent Era

Intel reported its first-quarter results for fiscal 2026 on Thursday, with revenue of $13.6 billion, up 7% year-over-year and 11% above the Wall Street consensus. Non-GAAP earnings per share came in at $0.29, compared to analyst estimates of $0.01 — beating expectations by 29 times, an extremely rare gap for a large-cap stock. Following the news, Intel shares rose as much as 20% in after-hours trading.

Q2 guidance also pointed in a more aggressive direction, with a revenue range of $13.8 billion to $14.8 billion, above the midpoint of consensus estimates. New CEO Lip-Bu Tan summed up the performance in one sentence during the conference call, essentially saying that the CPU is repositioning itself as an indispensable foundation in the AI era.

This has been one of the most debated propositions for Intel over the past two years, as the company was widely believed to have completely missed the first wave of AI.

On one hand, it failed to produce a GPU comparable to Nvidia’s; on the other, its advanced manufacturing nodes lagged behind TSMC. However, over the past 12 months, as more AI deployments shift from model training to inference and autonomous “agent” orchestration, the CPU — once considered a basic “computer brain” — has become relevant again. Intel’s rebound this quarter marks the first financial validation of this technical narrative.

Data Center Business Stages a U-Shaped Recovery

Breaking down the $13.6 billion in Q1, the most critical change came from the Data Center and AI (DCAI) segment. According to Intel’s earnings report, DCAI generated $5.1 billion in revenue for the quarter, up 22% year-over-year, setting a new record.

This was not a one-time surge. Looking back at 2025, DCAI posted $4.1 billion in Q1, dropped to $3.9 billion in Q2, and returned to $4.1 billion in Q3. That mid-2025 plateau once made the market doubt whether the so-called “CPU recovery” was just a narrative. Then, in Q4, based on data compiled by Tom’s Hardware from Intel’s disclosures, DCAI jumped from $4.1 billion in Q3 to $4.7 billion, a sequential increase of 15% — the fastest quarterly growth rate for the company in a decade.

Entering Q1 2026, the $5.1 billion figure drew a clear U-shaped curve, with the trough in mid-2025, the inflection point in Q4 2025, and confirmation in Q1 2026. Management explained that the Xeon 6 “Granite Rapids” processor began ramping up in volume, coupled with an AI infrastructure refresh cycle. The company even deliberately sacrificed some client CPU capacity, allocating wafers to the data center, which boosted profit margins for the entire DCAI segment. According to Intel’s Q3 2025 earnings report, the operating margin for this segment rose from 9.2% in Q3 2024 to 23.4%, nearly a 2.5-fold increase.

Same AI Narrative, Three Different Trajectories

Comparing Intel’s rebound with its peers reveals a more interesting picture than just price changes.

Using January 2023 as a baseline, by April 2026, Nvidia’s stock index had surged to 1023, AMD rose to 406, and Intel reached 245. All three started from the same point, but ended up nearly five times apart. However, what’s more noteworthy is the shape of Intel’s blue line. It didn’t climb steadily; instead, it first dropped all the way to 64 in September 2024 (a 36% decline from the starting point), then staged a V-shaped rebound, only reaching 245 by early 2026.

This chart essentially illustrates the market’s two pricing rounds for “who truly benefits from the AI capital cycle.” From 2023 to 2024, money flowed to Nvidia because training required GPUs. AMD carved out a second slice of the pie with its MI300 series, and its stock followed suit. Intel, however, was systematically crossed off the AI trading list due to disappointing Gaudi accelerator sales and delays in advanced process mass production. According to third-party estimates cited by Fortune in January 2025, Nvidia’s share of the AI chip market rose from 25% in 2021 to 86% in 2024, while Intel’s fell from 68% to 6%.

The second pricing round occurred from the second half of 2025 to early 2026. The market began re-evaluating a key question: if AI transitions from training to inference and agent stages, will the demand structure for computing power change? The answer to this question directly determines how far Intel’s blue line can go.

The Closer the Scenario Gets to Agents, the More CPUs Return to Center Stage

Breaking down AI workflows into three scenarios reveals significant differences in CPU weighting. According to Deloitte’s 2026 Technology Trends report, CPUs account for only about 8% of the bottleneck in large model training, with the remaining 92% of computing pressure on GPU clusters for parallel synchronization — this is Nvidia’s home turf. In the large-scale inference phase, the CPU’s weight rises to 25%, but GPU parallel throughput and memory bandwidth remain bottlenecks.

The real change occurs in the agent orchestration scenario. According to a joint study by the Georgia Institute of Technology and Intel published in November 2025, CPU processing for tool calls in agent workflows accounts for 50% to 90% of total latency, depending on the tool type and orchestration complexity. In other words, when an AI agent is doing things like “calling APIs, pulling data, coordinating subtasks, and managing context memory,” the bottleneck isn’t the GPU but the CPU.

This trend has quantifiable benchmarks. According to Deloitte estimates, inference workloads accounted for about one-third of total AI computing power in 2023, about half in 2025, and are expected to reach two-thirds by 2026. According to Futurum Group, the server CPU market is projected to grow from $26 billion in 2025 to $60 billion by 2030, a growth rate exceeding historical averages. An even more specific signal comes from OpenAI’s disclosed computing roadmap: the company plans to secure “hundreds of thousands of the most advanced Nvidia GPUs, along with computing power scalable to tens of millions of CPUs to support agent workloads.” GPUs are still dominant, but the sheer scale of CPUs has been publicly acknowledged in the same sentence for the first time.

The Rebound Didn’t Start in Q1 2026

Overlaying Intel’s stock price over the past five years with six key events, the 20% after-hours gain in Q1 is actually the culmination of a series of earlier decisions.

In February 2021, Pat Gelsinger returned as CEO, unveiling the “IDM 2.0” strategy to position Intel as both a chip designer and an open wafer foundry. When Gaudi 3 was launched in April 2024, Intel set a 2024 AI accelerator sales target of $500 million.

On August 2, 2024, the Q2 2024 earnings report disappointed, with revenue of $12.8 billion declining year-over-year, GAAP EPS of -$0.38, and an announcement of 15% layoffs and dividend suspension. The stock fell 26% in a single day, its worst since 1974. According to Intel’s disclosures at the time, management subsequently acknowledged that Gaudi 3 would not meet the $500 million target for the year and wrote down $300 million in inventory.

According to an official Intel announcement, Gelsinger stepped down on December 1, 2024, and the company entered a period with interim co-CEOs. In February 2025, the new management decided to cancel the independent GPU project “Falcon Shores,” designed to rival Nvidia, admitting that its self-developed AI accelerator roadmap could not overcome Nvidia’s ecosystem lock-in. On March 18, 2025, former Cadence CEO and semiconductor veteran Lip-Bu Tan officially became Intel’s CEO. At that time, Intel’s stock was around $22, just over 20% above its September 2024 low of $18.

From Lip-Bu Tan’s appointment to this Q1 earnings report, Intel’s stock rose from $22 to $65 before the earnings, and adding the 20% after-hours gain means it has just touched the $78 mark. If the period from August 2024 to December 2024 was the company’s darkest hour, then the real rebound point was not Q1 2026, but the moment Falcon Shores was canceled and Tan was chosen as CEO. The company abandoned the illusion of competing with Nvidia and returned to its true strength: the CPU.

The 29x EPS beat is a financial signal, but it actually reflects two things happening simultaneously. The market has begun to re-price the role of CPUs in AI architecture, and Intel has just completed its management transition and product line rationalization. Neither of these things happened in Q1.

यह लेख इंटरनेट से लिया गया है: Intel Soars 20% as CPU Returns to Center Stage in the Agent Era

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