Intel's Strategic Shifts: AI Partnerships and Foundry Leadership in Focus

Intel partners with SambaNova for AI inference on Xeon CPUs while managing a key leadership transition in its foundry division, as chip stocks face market pressure.

The semiconductor giant Intel is pursuing a dual-track strategy to strengthen its business, focusing on accelerating enterprise AI adoption while managing a significant leadership change within its manufacturing division. These moves come as chip stocks face intense market scrutiny, raising questions about their potential to generate sustained investor momentum.

Foundry Division Sees Leadership Transition

A key development within Intel's ambitious foundry operations is the departure of Kevin O’Buckley, the former head of Intel Foundry. O’Buckley is leaving to join Qualcomm as Vice President of Global Operations and Supply Chain.

Stepping into the leadership role is Naga Chandrasekaran, previously responsible for front-end process technology development. According to Intel, the foundry business remains a top strategic priority. The company emphasizes that the focus under the new leadership will be on consistent execution and customer delivery. This transition follows an organizational restructuring in September, which saw operations become more integrated, with O’Buckley beginning to report to Chandrasekaran at that time.

AI Inference Strategy Emphasizes CPU-Based Alternative

In a parallel strategic push, Intel is targeting the critical area of AI Inference—the deployment of trained AI models in live environments. Through a new collaboration with AI startup SambaNova Systems, Intel aims to provide solutions that leverage Xeon server infrastructure. This partnership is positioned to offer enterprises a cost- and performance-focused alternative to systems heavily reliant on GPUs.

The alliance includes a financial component: Intel Capital participated in a Series E funding round for SambaNova, which raised over $350 million. Concurrently, SambaNova unveiled its new SN50 Inference chip. A major initial customer has already been secured: SoftBank Corp. plans to implement the technology in its AI data centers in Japan in late 2026.

Market Skepticism Persists Amid Broader Challenges

Despite these strategic announcements, Intel's shares faced pressure on Thursday, reflecting a broader downturn for U.S. chip stocks. The market is currently paying close attention to capital expenditure levels and the competitive landscape in the AI sector. The competitive dynamics are also shifting, with rivals like Nvidia making advances in the CPU domain.

Recent financial performance adds context to the cautious sentiment. While Intel's fourth-quarter 2025 report in late January exceeded earnings-per-share expectations, it provided a revenue forecast for the first quarter of 2026 that fell below consensus estimates, dampening near-term confidence. This mixed picture is evident in the stock's performance: shares are down 5.60% over the past 30 days, yet they have gained 14.67% since the start of the year.

Consequently, the next critical milestones for Intel will be its ability to convert its stated AI positioning into tangible enterprise deployments and whether the foundry unit, under Chandrasekaran's direction, demonstrates clear progress in execution and customer deliveries.