Scaling Laws: Matt Abrams on Trust and the Migration to the Digital Age

The Lawfare Podcast

Matt Abrams, technologist, investor, and co-founder of $1 Billion for Trust, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the collapse of institutional trust and how AI may accelerate—or potentially help reverse—that trend.

The conversation explores Matt’s work to rebuild trust in information ecosystems, interpersonal relationships, and major institutions. Along the way, the duo examine the relationship between AI, information integrity, labor disruption, institutional legitimacy, and democratic resilience.

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.

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Matt Abrams, technologist, investor, and co-founder of $1 Billion for Trust, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and a Senior Editor at Lawfare, to discuss the collapse of institutional trust and how AI may accelerate—or potentially help reverse—that trend.

The conversation explores Matt’s work to rebuild trust in information ecosystems, interpersonal relationships, and major institutions. Along the way, the duo examine the relationship between AI, information integrity, labor disruption, institutional legitimacy, and democratic resilience.

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.

2026-08-21 49 min
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