In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.
11 topics shown · Sep 28–Oct 4, 2026
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Direction compares the latest report with recent weeks; small changes are “About the same,” and gaps mean no measurement.
Adoption Use Cases · 41.3% · Aug 24–30, 2026 · About the same in the latest report
Adoption Use Cases
Practical ways people and organizations are putting AI to work.
Aug 24–30, 2026
41.3%Gaining attentionUp 11.7 percentage points from last week
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Adoption Use Cases · Aug 24–30, 2026
A closer read
What changed
Its share rose from 29.6% to 41.3%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?” and “Building the Foundation for the Agentic AI Era”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 12 podcasts in the full analysis.
Podcast moments from the week
11 quoted moments · 6 episodes · 6 podcasts
The Cognitive Revolution
AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?
“I guess, how do people decide what model to use? Is there a kind of similar taste hierarchy going on in China? And like, who— what model is sort of the insider's model versus what is the general public's model?”
“You couldn't uh use drone as like, move to this area and hit everything you see. Because you need uh to recognize, is this a civilian car or is uh this an already destroyed car or something, all of this.”
“you couldn't hit this kind of targets, this civilian car, even if enemy uses civilian cars as its army. So you, this, we couldn't hit this kind of target. So you need to be sure that it's enemy 100%. So this operator needed.”
“I think the rumor too is that the other bidder on that dataset was Merkur, right? In terms of the bankruptcy bid process. And so it's interesting, you had multiple different companies in the AI world bidding on a bankrupt airline's enterprise dataset, which is fascinating.”
“with AI, I was like, wow, maybe that constraint is broken. Like, maybe we could draft one-of-one emails for every single one of our hundreds of, you know, thousands of customers”