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Securing Full Stack U.S. Leadership in AI

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Manage episode 471921155 series 1046351
Content provided by CSIS | Center for Strategic and International Studies, CSIS | Center for Strategic, and International Studies. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CSIS | Center for Strategic and International Studies, CSIS | Center for Strategic, and International Studies or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

“While AI is digital in nature, the binding constraint is physical.” While many think of the race for AI dominance as who can develop the best model, that’s only one piece of the puzzle. Frontier models, data centers, leading-edge chips, energy sources, and digital networks all form the full stack of AI leadership—and any one of them could be a point of failure. CSIS’s Navin Girishankar, president of the CSIS Economic Security and Technology Department, and Joseph Majkut, director of the CSIS Energy Security and Climate Change program, join the podcast to discuss their new research on how to secure U.S. full stack leadership in AI, especially expanding energy production to power future AI needs.

Read CSIS’s latest research on full stack AI leadership here: https://www.csis.org/analysis/securing-full-stack-us-leadership-ai

  continue reading

449 episodes

Artwork
iconShare
 
Manage episode 471921155 series 1046351
Content provided by CSIS | Center for Strategic and International Studies, CSIS | Center for Strategic, and International Studies. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CSIS | Center for Strategic and International Studies, CSIS | Center for Strategic, and International Studies or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

“While AI is digital in nature, the binding constraint is physical.” While many think of the race for AI dominance as who can develop the best model, that’s only one piece of the puzzle. Frontier models, data centers, leading-edge chips, energy sources, and digital networks all form the full stack of AI leadership—and any one of them could be a point of failure. CSIS’s Navin Girishankar, president of the CSIS Economic Security and Technology Department, and Joseph Majkut, director of the CSIS Energy Security and Climate Change program, join the podcast to discuss their new research on how to secure U.S. full stack leadership in AI, especially expanding energy production to power future AI needs.

Read CSIS’s latest research on full stack AI leadership here: https://www.csis.org/analysis/securing-full-stack-us-leadership-ai

  continue reading

449 episodes

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