Intel's Q1 Earnings Blowout: $0.29 EPS, $13.58B Revenue, CEO Sees CPU Resurgence in AI

Intel exceeded first-quarter earnings expectations, reporting an adjusted EPS of $0.29 and revenue of $13.58 billion. The company's CEO noted a resurgence in CPU deployments alongside AI accelerators.

Intel continues its strategic shift toward artificial intelligence, moving beyond its legacy technology roots. This transformation positions the company to compete in evolving market segments.

Central processing units (CPUs) handle general computing tasks, while graphics processing units (GPUs) accelerate AI workloads requiring parallel processing capabilities.

Intel reported an adjusted earnings per share (EPS), a measure of company profitability, of $0.29 for the first quarter. This figure significantly exceeded consensus expectations, which projected near break-even performance.

Quarterly revenue reached $13.58 billion, surpassing analyst estimates by $1.16 billion. The company's data center business specifically saw revenue increase by 22% to over $5 billion.

CEO Lip-Bu Tan observed customers are deploying server CPUs alongside AI accelerators, noting the CPU ratio is moving back upward. This trend indicates CPUs play a vital role in data movement and workflow processes, complementing the computational power of GPUs in artificial intelligence applications.

Tan stated this development provides a structural reason for confidence in the CPU franchise as a significant growth engine. The results signal a strengthening position for Intel within the AI ecosystem.

While GPUs are critical for AI model training, CPUs remain essential for supporting diverse AI applications, including agentic AI. Intel's continued investment in both CPU innovation and the development of new GPU technologies, including hiring a chief GPU architect, underscores its broad approach to the AI market. This strategy aims to ensure diversified exposure to the expanding AI sector.

Investors will watch how Intel balances its established CPU strength with its emerging GPU ambitions in the competitive AI landscape.