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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

3 topics highlighted · 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.

Hardware · 2.7% · Aug 24–30, 2026 · Gaining attention in the latest report

Hardware

The chips, data centers, energy, and devices that AI depends on.

Aug 24–30, 2026

2.7%About the sameDown 3.2 percentage points from last week

Choose a week to read the discussion.— Below threshold

Hardware, 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

Hardware · Aug 24–30, 2026

A closer read

What changed
Its share fell from 5.9% to 2.7%, with evidence across 7 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?” and “Bill Gates Has Three Ideas To Fix AI”.
How to read it
3 cited episodes from 3 podcasts are shown below. The topic appeared across 7 podcasts in the full analysis.

Podcast moments from the week

6 quoted moments · 3 episodes · 3 podcasts

AI Inside

Bill Gates Has Three Ideas To Fix AI

Play episode ↗
  1. A
    “m Right. Yeah. So the Apple computers that we were just talking about, you can't, so far not, you can't use this so far, at least at this point. And I think Windows computers coming soon, but right now it's DGX Spark. It's limited to, uh, yeah, Linux machines that run NVIDIA R...”
    Play from 25:05

    ConceptHardware

    Report this moment
  2. B
    “This seems to be more of an inference chip than a training chip.”
    Play from 56:53

    ConceptHardware

    Report this moment
  3. B
    “beat Nvidia's training chip rather than Nvidia's new uh inference chip. So fine, it's a little more chest beating”
    Play from 57:01

    ConceptHardware

    Report this moment

Latent Space

🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

Open episode ↗
  1. A
    “More compute. You know, that's the— I know that's an easy one, maybe a lazy one, right? Because 'Cause, you know, and, you know, of course our compute that we have is growing so much more than even a few years ago, thanks to NVIDIA, thanks to others. Again—”
    Open episode and seek to 1:21:18

    ConceptHardware

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