Global Data Watch Weekender: What could go wrong? episode artwork

EPISODE · Feb 27, 2026 · 34 MIN

Global Data Watch Weekender: What could go wrong?

from Global Data Pod · host J.P. Morgan Global Research

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.

Episode metadata supplied by the publisher feed · Published Feb 27, 2026

Embed this episode

Ready to play

Global Data Watch Weekender: What could go wrong?

0:00 34:23

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Global Data Pod?

This episode is 34 minutes long.

When was this Global Data Pod episode published?

This episode was published on February 27, 2026.

Can I download this Global Data Pod episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!