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Views jump 15x the channel's usual pace

WSJ Podcasts asks what happens when AI moves the cash

Its savings discussion goes beyond better interest rates to a bigger question: could automated banking help trigger a bank run?

Why this story? The whole channel is running at 124,978 views a day, 15 times a normal day (8,547).

Moving savings to a better-paying account sounds like a modest job for AI. WSJ's Take On the Week follows that idea to a less comfortable possibility: what happens if automated agents move lots of people's money at once?

That question comes late in "Why Cash Is King in the Era of Higher Interest Rates | WSJ's Take On the Week," the cash-focused episode we discussed earlier. WSJ Podcasts has since reached roughly 125,000 views in a day, nearly fifteen times its usual daily level. That is a channel-wide jump, not the episode's own daily total.

Hosts Telis Demos and Miriam Gottfried bring in MaxMyInterest founder Gary Zimmerman to explore why savers leave cash where it earns less, why banks offer different rates, and whether automation can overcome the inertia of switching accounts. The discussion eventually turns to whether AI agents could cause a bank run, putting a potential collective risk beside the individual convenience.

The channel also posted "Can AI Help Your Savings Earn More Interest?", a separate, shorter entry featuring Zimmerman. Together, the uploads give its familiar savings subject a distinctly technological question.

Published on Trari

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The facts
Subscribers
166,000 ▲ 1,000 this week
Channel views, last 7 days
143,716
Channel views, pace per day
124,978 (on a normal day: 8,547)

The numbers

WSJ Podcasts' daily views are well above its usual pace. The channel-wide increase sits alongside the continuing attention to its cash-and-interest episode.

views per day, whole channel
typical day
8,547
now
124,978
subscribers
166,000
▲ 1,000 in the last 7 days
total views
36,241,259
views per day
124,978
typical day: 8,547
subscribers: this channel and similar channels
As of October 14, 2026 · Data source: Trari Social News, Trari Traffic Trends and Ranking Platform, Google YouTube
Subscriber, view, like and comment counts are YouTube's. Rates, usual days, rankings, comparisons and categories are Trari's own calculations.
Developed with YouTube

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