Why AI’s next power shift starts on your desk

About this episode

Mark Papermaster discusses the potential shift of AI capabilities from the cloud to local devices and its implications for various industries.

What 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. Subscribe to Deep View Conversations for interviews…

People in this episode

Host: The Deep View

Guest: Mark Papermaster

Topics covered

• AI
• technology
• local computing
• open ecosystems
• workflow innovation
• energy demands

Keywords

• AI
• local AI
• Mark Papermaster
• AMD
• technology
• open ecosystems
• cloud dependence

Mentioned in this episode

Organizations: AMD

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