Why AI’s next power shift starts on your desk

AMD Chief Technology Officer Mark Papermaster said in an interview that the next major shift in AI will occur on personal devices, enabling local execution of sophisticated models and private AI agents for greater speed, security, and control without recurring token costs. He argued that AI will be more transformative than the smartphone, embedded across nearly every device and industry, and that local AI could reduce cloud dependence and vendor lock-in.

hat happens when powerful AI no longer has to live in the cloud? In this episode of The Deep View Conversations, we talked with Mark Papermaster, CTO of AMD, about why the next major shift in AI could happen on the device sitting on your desk. Papermaster explains how computers could soon run sophisticated models and teams of private AI agents locally, offering greater speed, security and control without recurring token costs. He also makes the case that AI will be even more transformative than the smartphone because it will be embedded across nearly every device, industry and aspect of daily life. The conversation also covers: - Why open ecosystems matter in the AI era - How AI is accelerating science, agriculture and industry - The growing energy demands of AI - How leaders can reinvent workflows with agents - Why local AI could reduce cloud dependence and vendor lock-in - Papermaster’s lessons from four decades in technology If you’re interested in less lock-in, open ecosystems, and how enterprises can run AI more efficiently and privately, this conversation offers a look at what a more distributed and secure AI future could look like. 📺 Watch on YouTube https://www.youtube.com/watch?v=MBbfG0JVEX4 🎧 Listen in your favorite podcast player https://tdv.transistor.fm/episodes/56-why-ai-s-next-power-shift-starts-on-your-desk-mark-papermaster Subscribe to Deep View Conversations https://tdv.transistor.fm/ for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm http://tdv.transitor.fm