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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

2 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 · 3.6% · Aug 3–9, 2026 · Gaining attention in the latest report

Hardware

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

Aug 3–9, 2026

3.6%About the sameNo comparable prior 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 3–9, 2026

A closer read

What changed
This was its first published appearance at 3.6% of the conversation, with evidence across 5 podcasts.
Where it showed up
It appeared in episodes including “Why People Are Paying 10x More for AI | Sid Sheth, d-Matrix”.
How to read it
1 cited episode from 1 podcast are shown below. The topic appeared across 5 podcasts in the full analysis.

Podcast moments from the week

3 quoted moments · 1 episodes · 1 podcasts

Eye on AI

Why People Are Paying 10x More for AI | Sid Sheth, d-Matrix

Open episode ↗
  1. B
    “Tell us what you're talking about at HumanX. I mean, I, I read that you've had some acquisitions since the last time we spoke. You're moving into a larger system, not just providing chips. And I'm interested in that. You know, my interest is generally in algorithmic research, ...”
    Open episode and seek to 00:43

    ConceptHardware

    Report this moment
  2. B
    “I think I told you last time I talked periodically to Andrew Feldman at Cerebras, to Rodrigo Liang at SambaNova. I haven't spoken to Brock. If I'm not mistaken, those— you and those 3 are the primary players in this new inference chip space, or maybe not. I mean, if you could ...”
    Open episode and seek to 01:14

    ConceptHardware

    Report this moment
  3. A
    “There's no other way, right? I mean, they're going to have to find a way to use a different type of low-latency computing to augment the throughput-based computing that they've been kind of doing with HBM-based solutions. So, the GPUs or other accelerators that all use HBM jus...”
    Open episode and seek to 29:37

    ConceptHardware

    Report this moment
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