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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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

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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.

Adoption Use Cases · 33.4% · Sep 28–Oct 4, 2026 · About the same in the latest report

Adoption Use Cases

Practical ways people and organizations are putting AI to work.

Sep 28–Oct 4, 2026

33.4%About the sameUp 0.7 percentage points from last week

Choose a week to read the discussion.— Below threshold

Adoption Use Cases, 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

Adoption Use Cases · Sep 28–Oct 4, 2026

A closer read

What changed
Its share rose from 32.7% to 33.4%, with evidence across 14 podcasts.
Where it showed up
It appeared in episodes including “One Brain, Any Body: Google DeepMind's Keerthana on Gemini Robotics 2, Cross-Embodiment & Humanoids” and “AI put Minecraft in Skyrim (and OpenAI had a Dev Day)”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 14 podcasts in the full analysis.

Podcast moments from the week

10 quoted moments · 6 episodes · 5 podcasts

AI For Humans

AI put Minecraft in Skyrim (and OpenAI had a Dev Day)

Play episode ↗
  1. A
    “There's incredible workflows that uh try to decompile games for you.”
    Play from 04:16

    ConceptAdoption Use Cases

    Report this moment
  2. A
    “I was gonna say, we see that today between the uh Fortnite and Roblox ecosystems, right? Like, not to shout out those 2 companies specifically, but if a game pops anywhere, there's a million clones on each platform. Well, is someone gonna make the AI-decompiled Newgrounds, if you will, where anytime something pops, they try to emulate it? We should shout out a couple things, right? Um First, we have to shout out um the Sega Seaman decompile. Did you see this thing?”
    Play from 11:31

    ConceptAdoption Use Cases

    Report this moment
  3. A
    “It was a weird little tadpole creature with a human head, and you could tap on the glass and you could connect a microphone to Dreamcast. Well, someone decompiled it using Astra. Uh, that's a ChatGPT, uh, OpenAI's model. Oh yeah, I know that.”
    Play from 12:00

    ConceptAdoption Use Cases

    Report this moment

Last Week in AI

#258 - Opus 5.5, Sol and Luna, Muse, DeepSeek-V4.1-Flash, Xi

Play episode ↗
  1. A
    “It appears that the launch has been good. If these 2 investors, we'll see, you know, what the longer-term feel on this product are, but a lot of their users from, you know, the rest of the ecosystem of Facebook and so on are giving Muse a try.”
    Play from 41:58

    ConceptAdoption Use Cases

    Report this moment

Latent Space

Academia is for Ambition — Alex Zhang, MIT

Open episode ↗
  1. C
    “What's an example? So is this different than, like, you know, pick your favorite company, Harvey, for example, using LLMs to do legal work or what's the—”
    Open episode and seek to 1:23:20

    ConceptAdoption Use Cases

    Report this moment
  2. A
    “design principles that we use or that we're thinking about right now actually make a lot of sense for this problem. I get excited about those as well.”
    Open episode and seek to 1:37:50

    ConceptAdoption Use Cases

    Report this moment

Machine Learning Street Talk

How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen

Open episode ↗
  1. A
    “I think consumer use cases, I think you can build voice agents already. For enterprises, there's additional governance there. There's additional enterprise uh requirements that we have to satisfy.”
    Open episode and seek to 08:12

    ConceptAdoption Use Cases

    Report this moment
  2. A
    “Or usually what I would suggest them for a lot of our customers is that Start with the harnessing. And if you really cannot get around that, then you can think about using different models or tune your own models. But that should be a second result. That should be like your number one priority immediately.”
    Open episode and seek to 52:38

    ConceptAdoption Use Cases

    Report this moment
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