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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

6 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.

Agents · 15.2% · Jul 27–Aug 2, 2026 · About the same in the latest report

Agents

AI systems that can plan, use tools, and carry out multi-step tasks.

Jul 27–Aug 2, 2026

15.2%About the sameUp 1.8 percentage points from last week

Choose a week to read the discussion.— Below threshold

Agents, 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

Agents · Jul 27–Aug 2, 2026

A closer read

What changed
Its share rose from 13.4% to 15.2%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak” and “6 Questions Every Enterprise Has to Answer About AI”.
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

12 quoted moments · 6 episodes · 6 podcasts

No Priors

Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak

Play episode ↗
  1. A
    “Because you're providing like agents, they can overflow. So somebody's giving you a lot of phone calls, they can pick up the phone calls for you.”
    Play from 06:04

    ConceptAgents

    Report this moment
  2. B
    “In terms of our vision, we are building an autonomous enterprise, right? We want every single thing in these companies to be handled autonomously with Netik. Except the actual services and the labor itself, that human component, so that these companies can fully focus on that ...”
    Play from 22:36

    ConceptAgents

    Report this moment

Practical AI

Reconstructing how OpenAI agents attacked Hugging Face

Open episode ↗
  1. B
    “I just have to find it, right? So if you have then access to the public internet, why not go on a search for the actual solution. So the model, or more appropriately, the agent inferred where might this solution be? Where are solutions to benchmarks? Where are datasets? Where ...”
    Open episode and seek to 19:44

    ConceptAgents

    Report this moment
  2. B
    “you should be thinking about this sandbox Element of your agent”
    Open episode and seek to 14:36

    ConceptAgents

    Report this moment

Latent Space

Codex from 0 to 10M Users: Building ChatGPT Work — Akshay Nathan, OpenAI

Open episode ↗
  1. B
    “if you give the agent access to this infinitely flexible environment of the computer, it can do really, really powerful things”
    Open episode and seek to 15:10

    ConceptAgents

    Report this moment
  2. A
    “One big— another, I mean, it's July of 2026. One big thing that also happened for OpenAI was OpenCLaw. And that's, I think, a lot of people's first time really maxing an agent for personal stuff, but also crossing over to work in that same way. As far as I understand, OpenCLAW...”
    Open episode and seek to 44:38

    ConceptAgents

    Report this moment

The AI Native Dev

Inside the Dark Factory: AI That Ships Code Solo

Play episode ↗
  1. A
    “This means that as soon as the Dark Factory is done creating it, it'll go through PR cycle process using bots, of course, no human intervention here. And then it'll get auto-merged into the repo once all of CI passes and once our review agent agents approve it. So I'm going to...”
    Play from 05:50

    ConceptAgents

    Report this moment
  2. B
    “It's connecting, it's an integrator between agents and other tools or other things like Linear is a good example there.”
    Play from 15:34

    ConceptAgents

    Report this moment
  3. A
    “implementation. Mind you, they can technically understand what other agents are going on, and we do see this in the logs because we'll often reference other tickets in the description of a ticket. And so an agent will go check in on how that ticket is going or what the PR was ...”
    Play from 17:27

    ConceptAgents

    Report this moment

The Artificial Intelligence Show

#226: OpenAI’s Rogue Model, Kimi K3, Open Weights Letter & Demis Hassabis Calls for AI Regulatory Body

Play episode ↗
  1. A
    “even if we don't automate our work, we don't touch coding agents yet as like standard knowledge work, and we just focus on personalized training of our staff and responsible use of AI assistants”
    Play from 25:55

    ConceptAgents

    Report this moment
  2. A
    “Autonomous agents will reshape the landscape of what we understand work and business to be”
    Play from 27:12

    ConceptAgents

    Report this moment
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