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Intel CTO Sachin Katti Joins OpenAI to Lead Compute Infrastructure

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Intel CTO Sachin Katti Joins OpenAI Leadership - Business Honor

Business Honor
12 November, 2025

Katti moves from Intel to OpenAI, driving next-generation AI systems and infrastructure.

In a major coup for the tech industry, Intel's Chief Technology and AI Officer, Sachin Katti, has been recruited to OpenAI to lead the development of its compute infrastructure, the backbone supporting its research into artificial general intelligence. The move was announced via a post on social platform X, where OpenAI President Greg Brockman confirmed Katti's appointment and said he will play a pivotal role in scaling the next generation of OpenAI's AI systems.

Katti’s exit continues a string of changes at Intel under CEO Lip-Bu Tan, who has highlighted AI as one of the company’s “highest strategic priorities.” The company thanked Katti for his service and said that Tan would now personally lead the AI and Advanced Technologies Group, underscoring the company’s commitment to delivering on its technology and product roadmaps in emerging AI workloads. Katti joined Intel four years ago to run the Networking and Edge Group, before being promoted by former CEO Pat Gelsinger. In April 2025, Tan promoted him to dual roles as CTO and Chief AI Officer, aligning Intel's AI strategy and research with its efforts to regain leadership in advanced chipmaking.

Before coming to Intel, Katti spent almost 15 years as a professor at Stanford University, where he focused on many of the subfields most crucial for AI scalability: computer networking, cloud infrastructure, and edge computing. This experience in both academia and industry makes him uniquely positioned to drive OpenAI's compute strategy, a key element in the company's pursuit of AGI. Katti's hire is the latest in a string of executive changes at Intel under Tan, which have included strategic recruits such as Naga Chandrasekaran, who runs manufacturing and foundry relations, and Kevork Kechichian, a former Arm executive running the data center business. This high-profile transition speaks to increasing competition for top AI talent and underscores the growing importance of robust compute infrastructure in continuing to advance AI research and development.