Intel reported first-quarter 2026 revenue of $13.6 billion, rising 7 percent, supported by strong demand for AI-related products and infrastructure.
The Client Computing Group (CCG) generated $7.7 billion in revenue, up 1 percent.
Data Center and AI (DCAI) segment delivered $5.1 billion, recording a robust 22 percent increase.
Intel Foundry revenue reached $5.4 billion, growing 16 percent as demand for advanced manufacturing and packaging technologies accelerated.
Intel said its AI business achieved double-digit growth, reflecting rising investments in AI infrastructure and enterprise deployments. The company expects this momentum to continue, forecasting second-quarter 2026 revenue in the range of $13.8 billion to $14.8 billion.
CEO Lip-Bu Tan highlighted that the next phase of AI evolution, moving from training models to inference and agentic systems, is increasing demand for Intel’s CPUs, wafers, and advanced packaging capabilities.
Intel’s latest strategy shows that AI is no longer a side opportunity but a central driver of its growth, product roadmap, and manufacturing investments.
AI is already transforming Intel’s business mix. In Q1 2026, AI-driven businesses accounted for 60 percent of total revenue and grew 40 percent year-over-year, highlighting how demand for AI infrastructure is reshaping the company’s revenue base . This growth is being fueled by strong demand for server CPUs, AI PCs, and custom silicon solutions.
A key pillar of Intel’s AI strategy is the repositioning of CPUs at the center of AI computing. Intel emphasizes that CPUs, especially its Xeon processors, are becoming the orchestration layer and control plane for AI workloads. Instead of GPUs replacing CPUs, enterprises are increasingly deploying both together, with CPUs managing workloads across training, inference, and emerging agentic AI systems .
Intel is also aligning its product portfolio to AI use cases. AI PCs are gaining traction, with over 60 percent of client CPU mix now AI-enabled, while data center revenue is growing as enterprises shift from training models to inference and real-world AI deployment . The company is also expanding into edge AI, robotics, and physical AI, signaling a move beyond cloud-centric AI toward distributed intelligence.
Partnerships are another major component of Intel’s AI plans. Collaborations with companies like SambaNova and hyperscalers such as Google aim to build heterogeneous AI architectures, combining CPUs with specialized accelerators for optimized performance .
On the infrastructure side, Intel is investing heavily in its foundry and advanced packaging capabilities to support AI chip demand. The rollout of advanced nodes like Intel 18A and future 14A technologies, along with increased manufacturing capacity, is designed to capture the growing AI semiconductor market, which is approaching a $1 trillion opportunity .
Overall, Intel’s AI strategy focuses on three core areas: strengthening CPU leadership in AI systems, expanding AI-enabled products across PCs and data centers, and scaling manufacturing to meet surging AI demand.
RAJANI BABURAJAN
