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Judy Ley Allen México Centered | Claudio X. González Center for the US and Mexico | Podcast

Mexico’s Artificial Intelligence Future (Part 2)

March 26, 2025 | Laura Ripani, Alejandro Dabdoub, Tony Payan
Digital code overlaid over Mexican flag

Table of Contents

Author(s)

Laura Ripani

Mexico Country Representative, Inter-American Development Bank

Alejandro Dabdoub

Partner, Allied Orion Group

Tony Payan

Claudio X. Gonzalez Fellow in U.S.-Mexico Studies | Françoise and Edward Djerejian Fellow for Mexico Studies | Director, Claudio X. González Center for the U.S. and Mexico

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Tags

MexicoArtificial intelligencetechnologyMexico economyMéxico Centered

About the Episode

On “México Centered,” host Tony Payan continued his conversation on the future of artificial intelligence (AI) in Mexico with Laura Ripani, Mexico’s country representative at the Inter-American Development Bank, and friend of the podcast Alejandro Dabdoub.

They explored major questions about the future of work as AI advances: What implications does the advent of generative AI have for Mexico’s workforce and the global value chain? How can policymakers leverage AI for economic growth while confronting domestic inequality? And how can Latin America take advantages of disruptions like DeepSeek, the Chinese start-up that caused shockwaves in the industry with its low-cost AI model?

Tune in to the first part of this conversation with Eon Institute founder and director Claudia del Pozo here.

This conversation was recorded on Feb. 6, 2025. Subscribe and listen to “Judy Ley Allen México Centered” on Apple, Spotify,  or wherever you listen to podcasts.

About ‘Judy Ley Allen México Centered’

Hosted by Tony Payan, the “Judy Ley Allen México Centered” podcast features interviews with academics, former government officials, and other experts on issues central to U.S.-Mexico relations, including trade, immigration, and public safety. New episodes are released monthly.

 

 

This material may be quoted or reproduced without prior permission, provided appropriate credit is given to the author and Rice University’s Baker Institute for Public Policy. The views expressed herein are those of the individual author(s), and do not necessarily represent the views of Rice University’s Baker Institute for Public Policy.

© 2025 Rice University’s Baker Institute for Public Policy
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