The AI conversation, week by week
18 AI-focused podcasts currently tracked18 AI podcasts

Currently tracking18 AI-focused podcasts

  • AI For Humans
  • AI Inside
  • AI Today Podcast
  • Eye on AI
  • Gradient Dissent
  • Interconnects
  • Last Week in AI
  • Latent Space
  • Machine Learning Street Talk
  • Me, Myself, and AI
  • No Priors
  • Practical AI
  • The AI Daily Brief
  • The AI Native Dev
  • The Artificial Intelligence Show
  • The Cognitive Revolution
  • The TWIML AI Podcast
  • Training Data

Trends over time

Jul 13–Oct 4, 2026 · 12 published weeks

In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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

Select a topic or a dated dot to see its history below.

Swipe to follow the full timeline →

Topic attention across published weeksEach colored line uses the same attention scale. Only topics with published measurements are shown; their shares do not necessarily total 100%. Breaks mean missing measurements, not zero. Dated dots open that topic and week below.0%11.3%22.5%33.8%45%Jul 13Jul 20Jul 27Aug 3Aug 10Aug 17Aug 24Aug 31Sep 7Sep 14Sep 21Sep 28Adoption Use Cases: About the same in the latest reportAdoption Use Cases33.4%Research: Gaining attention in the latest reportResearch22.7%Agents: About the same in the latest reportAgents14.5%Safety & governance: Losing attention in the latest reportSafety & governance8.6%Hardware: Gaining attention in the latest reportHardware7.9%Regulation: About the same in the latest reportRegulation3.9%Open Models: About the same in the latest reportOpen Models3.1%Economics: Losing attention in the latest reportEconomics2.5%Infrastructure: About the same in the latest reportInfrastructure1.2%Jobs: About the same in the latest reportJobs1.2%Other: Below threshold in the latest reportOtherNo measurement

Direction compares the latest report with recent weeks; small changes are “About the same,” and gaps mean no measurement.

Economics · 4.4% · Sep 14–20, 2026 · Losing attention in the latest report

Economics

The cost of building and running AI, and how money moves through the market.

Sep 14–20, 2026

4.4%About the sameDown 2.6 percentage points from last week

Choose a week to read the discussion.— Below threshold

Economics, week by weekDated controls show each week's attention share. Gaps mean no qualifying measurement, not zero. Select a week to read its discussion below.0%11.3%22.5%33.8%45%
Show this week’s discussionHide this week’s discussionPodcast moments and context

Economics · Sep 14–20, 2026

A closer read

What changed
Its share fell from 7% to 4.4%, with evidence across 11 podcasts.
Where it showed up
It appeared in episodes including “The AI Challenges Businesses Are Actually Focused On Right Now” and “From Voice Agents to AI Avatars with Alexander Smola - #777”.
How to read it
5 cited episodes from 5 podcasts are shown below. The topic appeared across 11 podcasts in the full analysis.

Podcast moments from the week

6 quoted moments · 5 episodes · 5 podcasts

The Cognitive Revolution

The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well

Open episode ↗
  1. C
    “we'd find economically productive applications for all the models that would allow us to recoup the investment on all the frontier models and all the chips so far.”
    Open episode and seek to 25:41

    ConceptEconomics

    Report this moment

Training Data

Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

Play episode ↗
  1. B
    “You mean from a gross margin perspective or from an antitrust perspective?”
    Play from 10:37

    ConceptEconomics

    Report this moment

Latent Space

Humanity’s Last Invention — Richard Socher of Recursive

Open episode ↗
  1. A
    “One thing I always try to reconcile when talking with new lab founders is you're kind of fighting bitter lessons all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.”
    Open episode and seek to 44:08

    ConceptEconomics

    Report this moment
  2. B
    “Why do we care about it? Well, speed of training training is part of the equation of the cost. Uh And ultimately, you want to have the most intelligence per dollar, right? And so speed and quality are big parts of that. And the—”
    Open episode and seek to 47:45

    ConceptEconomics

    Report this moment
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