Global Data Watch Weekender: What could go wrong? - podcast episode cover

Global Data Watch Weekender: What could go wrong?

Feb 27, 202634 minEp. 393
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Incoming data support our call for a recoupling of weak job growth to solid GDP gains, driven by a fading of business caution. Beyond this near-term tracking, we consider the types of shocks that could disrupt the outlook further out—with a focus on how to think about AI’s impact.

 

Speakers:

Bruce Kasman

Joseph Lupton

 

This podcast was recorded on 27 February 2026.

This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures.  © 2026 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party.

For the best experience, listen in Metacast app for iOS or Android