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Scaling Laws: Export Controls: Janet Egan, Sam Winter-Levy, and Peter Harrell on the White House's Semiconductor Decision

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Content provided by The Lawfare Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Lawfare Institute 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://podcastplayer.com/legal.

Alan Rozenshtein, Research Director at Lawfare, sits down with Sam Winter-Levy, a Fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace; Janet Egan, a Senior Fellow with the Technology and National Security Program at the Center for a New American Security; and Peter Harrell, a Nonresident Fellow at Carnegie and a former Senior Director for International Economics at the White House National Security Council under President Joe Biden.

They discuss the Trump administration’s recent decision to allow U.S. companies Nvidia and AMD to export a range of advanced AI semiconductors to China in exchange for a 15% payment to the U.S. government. They talk about the history of the export control regime targeting China’s access to AI chips, the strategic risks of allowing China to acquire powerful chips like the Nvidia H20, and the potential harm to the international coalition that has worked to restrict China’s access to this technology. They also debate the statutory and constitutional legality of the deal, which appears to function as an export tax, a practice explicitly prohibited by the Constitution.

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Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.

To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.

Support this show http://supporter.acast.com/lawfare.


Hosted on Acast. See acast.com/privacy for more information.

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2694 episodes

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iconShare
 
Manage episode 501512202 series 56794
Content provided by The Lawfare Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Lawfare Institute 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://podcastplayer.com/legal.

Alan Rozenshtein, Research Director at Lawfare, sits down with Sam Winter-Levy, a Fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace; Janet Egan, a Senior Fellow with the Technology and National Security Program at the Center for a New American Security; and Peter Harrell, a Nonresident Fellow at Carnegie and a former Senior Director for International Economics at the White House National Security Council under President Joe Biden.

They discuss the Trump administration’s recent decision to allow U.S. companies Nvidia and AMD to export a range of advanced AI semiconductors to China in exchange for a 15% payment to the U.S. government. They talk about the history of the export control regime targeting China’s access to AI chips, the strategic risks of allowing China to acquire powerful chips like the Nvidia H20, and the potential harm to the international coalition that has worked to restrict China’s access to this technology. They also debate the statutory and constitutional legality of the deal, which appears to function as an export tax, a practice explicitly prohibited by the Constitution.

Mentioned in this episode:

Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.

To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.

Support this show http://supporter.acast.com/lawfare.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

2694 episodes

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