Intel CEO Lip-Bu Tan Relies on AI Agents for Daily Research and Strategy
Intel CEO Lip-Bu Tan shared that he uses daily AI agents like Claude for research and learning, highlighting the industry shift toward autonomous agentic AI systems.
Intel CEO Lip-Bu Tan revealed that he uses artificial intelligence agents daily to significantly cut down the time required for research and learning on new topics. Instead of spending days trying to understand unfamiliar technology, he can acquire a foundational overview within minutes.
Daily Use of AI Agents
"When I want to understand something, instead of spending two days, I can use agents to understand it within five minutes," Tan said. He noted that utilizing AI agents is particularly relevant to his role as CEO, as much of his work requires familiarity with technologies outside his direct area of expertise. Tan mentioned that he also uses Claude, the AI model developed by Anthropic, to study emerging fields such as quantum computing.
"It is still a very new field," Tan said regarding quantum computing. "I use agents to understand it and explain it to me."
Tan also employs AI agents for speech preparation and other administrative tasks. His remarks offer a glimpse into how the leader of a major global chip manufacturer utilizes the technology, especially at a time when investors are evaluating the business potential of AI agents and the additional computing demand they might generate.
The Shift to Agentic AI
Tan describes current technological advancement as a transition from basic foundation models through the inference phase to "agentic AI"—systems that do not merely respond to a single prompt, but are capable of executing sequences of tasks autonomously. Tan, who invested in AI well before the current wave, believes the field will ultimately surpass the internet in scale.
Alongside his enthusiasm, Tan emphasizes a cautious approach to emerging technologies, noting that he personally invests his own funds in technologies still too early for his investment fund, only considering institutional investment once a technology shows clear commercial application.
