GoKawiilThere are only a handful of people in the semiconductor industry who can genuinely claim to have lived through nearly every major shift in modern compute from the inside. Pat Gelsinger is one of them. His career stretches back through Intel’s formative decades, an era when CPU performance scaling still defined the direction of the industry, through the build-out of enterprise infrastructure and virtualization. He then came back again into the middle of one of the most difficult and closely watched rebuilds in semiconductor history. For years, I have covered Pat in different contexts: as Intel’s technologist, as the public face of its attempt to reassert manufacturing leadership, and as one of the most vocal believers that Moore’s Law. In one form or another, Pat is a stalwart in the Law continuing almost unabated. More recently, I spoke with him at Intel Foundry Connect in the middle of the “five nodes in four years” push. This conversation comes from a very different moment in his career.
Today, Pat is no longer running Intel. Instead, he is operating from Playground Global, where he has shifted to helping identify and shape the next generation of hard technology and hard physics bets. But in many ways, the themes are familiar. He is still thinking about the future of compute, he is still thinking about architectures, manufacturing, software, scaling, and he is still thinking about which new ideas have the technical depth and leadership to matter. In the interview, he describes this stage of life as focusing on things that matter, with people he enjoys, and says Playground gives him a way to stay close to companies he believes could shape the industry.
That broader perspective is what makes this conversation interesting from my point-of-view. This is not just a retrospective on Pat’s past, and it is not just a venture capital conversation either. It is a discussion with someone who has spent decades building and leading in classical compute, and who is now looking outward at AI accelerators, dataflow systems, resilient networking, quantum computing, and the growing pressure to make inference dramatically more efficient. Pat argues with me that inference still needs to improve by orders of magnitude, that the future is fundamentally heterogeneous, and that the next real breakthroughs may come from combining what he calls a “trinity of computing”: classical, AI, and quantum systems. Whether you agree with all of that or not, it is a view worth hearing from someone with Pat’s knowledge and experience.
In this interview, we talk about what changes when a former Intel CEO starts evaluating startups instead of product roadmaps, how he thinks about proof, market fit, and leadership teams, why he believes the industry is still early in the real buildout of agentic and scientific AI workloads, and where he sees the next pressure points in compute, from precision and resilience to optical links, dataflow machines, and the search for architectures that move beyond a purely von Neumann view of the world.
The following is a transcript of the video interview embedded above. Phrases have been adjusted slightly to improve readability.
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Ian Cutress: We’re here at Playground Global, which is Pat’s new home. How’s it going?
Pat Gelsinger: I’ve just turned 65, and I'd say at this phase of my career, I want to do things that matter. If they succeed, it makes a difference with people I enjoy. Playground is a place I can do that.
I have about 10 companies that I’m deeply involved in right now. I’m on the board of most of those, and I think some of these are going to be industry-shaping companies. If I get to help build great companies with great leadership teams at this phase of my career, this is good. And so far this year, [although] I’m a rookie in venture capital, the team has have embraced me and we’re making a difference.
Ian Cutress: Did you ever see yourself eventually migrating into this sort of role? It’s a bit hard to go from a sustained big company sort of position into venture capital.
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