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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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

Agents · 13.4% · Jul 20–26, 2026 · About the same in the latest report

Agents

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

Jul 20–26, 2026

13.4%About the sameDown 2.5 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 20–26, 2026

A closer read

What changed
Its share fell from 15.9% to 13.4%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “BONUS: Snyk Found Malware Inside AI Agent Skills” and “Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang”.
How to read it
6 cited episodes from 4 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

12 quoted moments · 6 episodes · 4 podcasts

The AI Native Dev

BONUS: Snyk Found Malware Inside AI Agent Skills

Play episode ↗
  1. A
    “When I'm kind of vibe coding using my agents, I'm already struggling, right? So like what changes are they making to my application? So these are the kind of new challenges from the developer point of view is, you know, like how does the security fit in with this new kind of d...”
    Play from 05:33

    ConceptAgents

    Report this moment

No Priors

Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang

Play episode ↗
  1. A
    “What could my agent know about what I want to eat or what I want to, um, buy from a grocery perspective? Like, help me understand, like, how you think about richer context or how to be smarter there.”
    Play from 05:08

    ConceptAgents

    Report this moment
  2. B
    “Like it could be something as simple as, I don't know, like, like like dirt covering one of your camera sensors. Okay. Like, how does it— how robust is your autonomy stack able to, able to handle that? Like, there's some, there's some leaves on the ground, uh, but it only cove...”
    Play from 28:43

    ConceptAgents

    Report this moment
  3. C
    “the easier we can make it for people to kind of interface with apps or with agents like they would with a person, I think it's going to reduce the friction in terms of compelling them to place an order”
    Play from 47:00

    ConceptAgents

    Report this moment

Latent Space

Inside the Model Factory — Eiso Kant, Poolside AI

Open episode ↗
  1. B
    “It's perfect for agents because agents are now starting to take over more and more work in our model factory.”
    Open episode and seek to 19:56

    ConceptAgents

    Report this moment
  2. C
    “How do you think about building it with like working with a harness, right? So open code, Codex, you have your own pool CLI tool, basically getting people to use it, the co-design of model harness. Training it in?”
    Open episode and seek to 58:40

    ConceptAgents

    Report this moment
  3. B
    “we see incredible ability for complex harnesses that built lots of prompts around and extra data sources and other tools to really push capabilities of models forward.”
    Open episode and seek to 1:01:54

    ConceptAgents

    Report this moment

The AI Native Dev

From Living Room Hack to 30 AI Agents at Cyera

Play episode ↗
  1. A
    “that's shared to all the agents and explains kind of how to walk the graph and what a Cyra agent should behave like.”
    Play from 44:57

    ConceptAgents

    Report this moment
  2. A
    “5 or 6 tools per data source, and then there's the generic tools. And those are all read-only. And there are a few write tools that involve actually solving problems, like performing a code review, posting a comment somewhere, submitting a pull request.”
    Play from 45:58

    ConceptAgents

    Report this moment
  3. A
    “I'm building a house and all that, and I needed something to keep track of all of my commitments and the argument I currently have with the contractor for the house. And I really wanted an agent that would kind of be like OpenClaw, but I didn't like OpenClaw at the time. I thi...”
    Play from 08:01

    ConceptAgents

    Report this moment
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