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Patrick Gelsinger

Former Chief Executive Officer; Executive Chair, Gloo, Intel

Search every verified Patrick Gelsinger interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Patrick Gelsinger, former CEO of Intel and current General Partner at Playground Global, has been active in public discussions about the future of semiconductor technology and AI infrastructure. In an October 2026 appearance at an a16z podcast, he argued that energy capacity now equals economic capacity in an AI-driven world, predicting that many data center projects will face delays or failures due to insufficient power. In Taiwan that same month, he spoke at length about the island's central role in AI supply chains, stating that 90% of the world's AI passes through Taiwan and that the country, with 25 million people, has become the US's largest trading partner. He also discussed his firm's work on optical connectivity and electronic-photonic integration, noting partnerships with TSMC, MediaTek, AMD, Nvidia, and Intel. In early November 2026, Gelsinger gave an exclusive interview where he described Silicon Valley's past decade as a period when capital flowed primarily into software, calling it a "Software Valley" without silicon. He predicted that co-packaged optics (CPO) would reach industry-wide adoption around 2028–2029, driven by the limitations of copper-based interconnects for large AI clusters. He also highlighted emerging bottlenecks in memory bandwidth, power delivery, and advanced packaging, and expressed optimism about new memory innovations emerging for the first time in three decades. Separately, in a January 2025 interview that resurfaced recently, Gelsinger cautioned that a predictable 40-hour workweek is incompatible with becoming a world-class leader in the tech industry, though he emphasized the importance of balancing intense work periods with breaks and sabbaticals.

Recent appearances

Verified interview transcripts

Notable quotes

“You know ultimately the world's energy supplies were fairly modestly expanding until about 5 years ago right and now we've seen more aggressive buildout of the world's energy supply. Fundamentally in a digital AI world, energy capacity equals economic capacity, right? You can't build faster than energy. So fundamentally the world is now accelerating. We highlighted one of our companies, Alba, working on nuclear up up”

“Clearly it's been an extraordinary year in that sense where you've seen the AI buildout accelerate. You know, we thought it was extraordinarily fast last year, but we've seen it accelerate. And as I showed in my one of my graphs that 90% of the world's AI comes through Taiwan. So in that sense the essential nature of Taiwan, the accelerating buildout of AI and maybe you know my comment on 10,000x you know we see the ”

“We must make AI at 10,000 times more efficient. Efficiency is added to us. That is what we do at Playground. We build companies that create a kind of dramatic dislocation because we believe AI is a force of nature, and we are creating the fundamental rebuilding of the tech industry. Incremental improvements—making, you know, a chip 10% better, you know, improving power delivery by, you know, 10%—is irrelevant when I ”

“Clearly, the AI workload has been the driving force that causes the acceleration of the economy of Taiwan, and Taiwan has seen the growth of worldwide AI in industry and statistics here. I just find it overwhelming to think that with 25 million people, Taiwan is now the US's largest trading partner. Think about the significance of that, that you have known these countries that are billions-plus people. Economically, ”

“I think there's a combination of capital and technology needs that will justify memory innovation now. There's two domains things that I'm excited about. One is this idea that the shoreline bandwidth limitations of HBM is a fundamental issue. So with that, somehow you got to bring memory and compute together in a fundamental way. I do think that given the workload now has such capital being deployed against it in the”

“In an AI digital age, energy capacity equals economic capacity. Why build a new data center and buy the million GPUs if I can't power them? You're going to see more and more defaults happening on many of those data center projects cuz the energy won't be there.”

Other executives at Intel

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