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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

11 topics shown · 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 · 8.7% · Aug 3–9, 2026 · About the same in the latest report

Agents

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

Aug 3–9, 2026

8.7%Losing attentionDown 6.5 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 · Aug 3–9, 2026

A closer read

What changed
Its share fell from 15.2% to 8.7%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent” and “Why People Are Paying 10x More for AI | Sid Sheth, d-Matrix”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

16 quoted moments · 6 episodes · 5 podcasts

The Cognitive Revolution

Thinking in Silico: Goodfire CTO Dan Balsam on Concept Manifolds & a $1000/Month ML Research Agent

Open episode ↗
  1. C
    “agents are also advancing research and interpretability in many ways”
    Open episode and seek to 50:00

    ConceptAgents

    Report this moment
  2. C
    “the sort of craft that goes into imbuing the right types of tastes and the right types of decision-making capabilities into any agent goes a super long way.”
    Open episode and seek to 59:07

    ConceptAgents

    Report this moment
  3. C
    “the value of Silico reveals itself when you do long-running autonomous experiments.”
    Open episode and seek to 1:00:25

    ConceptAgents

    Report this moment

Eye on AI

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

Open episode ↗
  1. B
    “Do you see emerging companies, startups that are agent-first? The New York Times had a piece recently about a guy and his brother running a $1.6 billion sales company that's basically an agent-first company. Do you see that segment of the economy growing?”
    Open episode and seek to 00:07

    ConceptAgents

    Report this moment
  2. A
    “there's this iterative recursive loop, whereas AI gets smart, it learns to build tools that it can use in more efficient ways and more capable ways.”
    Open episode and seek to 18:06

    ConceptAgents

    Report this moment
  3. A
    “I think what we would be most excited by next is, I think we have seen agentic capabilities unleashed.”
    Open episode and seek to 19:09

    ConceptAgents

    Report this moment

Practical AI

Models, Harnesses, and Multi-Agent Systems

Open episode ↗
  1. C
    “That's where the autonomy of what agents are, the potential of what agents can do is really realized”
    Open episode and seek to 16:46

    ConceptAgents

    Report this moment
  2. C
    “then you can really start getting a lot of productive work done through your group of agents at this point that is largely autonomous”
    Open episode and seek to 20:39

    ConceptAgents

    Report this moment
  3. C
    “having lots of agents interoperating together is going to become necessary”
    Open episode and seek to 26:40

    ConceptAgents

    Report this moment

The Artificial Intelligence Show

#229: Q3 Trends Briefing - The Pope's AI Encyclical, AI Agents Hack Hugging Face, Fable 5 vs. Washington, and the Battle Over Open Weights

Play episode ↗
  1. B
    “I mean, this seemed like it to me, it happened really fast in terms of businesses were all like, okay, how do I prompt better? How do I use chat better? And then suddenly, wait a second, there's an agent that can connect to all my files in my web app. If I have this thing on m...”
    Play from 20:37

    ConceptAgents

    Report this moment
  2. A
    “agents have this amazing potential when they become really reliable”
    Play from 26:12

    ConceptAgents

    Report this moment
  3. A
    “they are gonna put some serious guardrails in place to prevent the scaling of the use of agents just unfiltered”
    Play from 26:53

    ConceptAgents

    Report this moment

The AI Native Dev

Datadog Deleted All Its AI Context. It Worked.

Play episode ↗
  1. C
    “For the agent. So anywhere between the new models don't need them and they're just wrong at this point.”
    Play from 40:32

    ConceptAgents

    Report this moment
  2. A
    “Correct. Correct. I don't think they were— wrong per se, but I think early on there was a lot of basics that you would try to retrain the agent on.”
    Play from 40:38

    ConceptAgents

    Report this moment
  3. A
    “I'm not sure the way we're working today with local agent only and everybody's set up for their own thing.”
    Play from 44:37

    ConceptAgents

    Report this moment

The Artificial Intelligence Show

#228: More Rogue AI Agents, AI Lab Staff Ask Washington to Pace Development, Continuing Battle Over Open Weights & OpenAI Previews Astra

Play episode ↗
  1. A
    “What we're seeing here is the early versions of very advanced agents that have planning, reasoning, and action abilities over long horizon tasks. So agents are goal-seeking by design. In this case, it's the capture the flag. But if you take this same scenario, you can imagine ...”
    Play from 12:33

    ConceptAgents

    Report this moment
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