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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

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 CasesResearch: Gaining attention in the latest reportResearchAgents: About the same in the latest reportAgentsSafety & governance: Losing attention in the latest reportSafety & governanceHardware: Gaining attention in the latest reportHardwareRegulation: About the same in the latest reportRegulationOpen Models: About the same in the latest reportOpen ModelsEconomics: Losing attention in the latest reportEconomicsInfrastructure: About the same in the latest reportInfrastructureJobs: About the same in the latest reportJobsOther: Below threshold in the latest reportOther

Direction compares the latest report with recent weeks; small changes are “About the same,” and gaps mean no measurement.

Agents · 12.4% · Aug 24–30, 2026 · About the same in the latest report

Agents

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

Aug 24–30, 2026

12.4%About the sameUp 3.5 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 24–30, 2026

A closer read

What changed
Its share rose from 8.9% to 12.4%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?” and “Building the Foundation for the Agentic AI Era”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

14 quoted moments · 6 episodes · 6 podcasts

The Cognitive Revolution

AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?

Open episode ↗
  1. G
    “we don't have to worry about building ah frontier coding agents and we can make use of all the advances that are coming in those”
    Open episode and seek to 27:17

    ConceptAgents

    Report this moment
  2. B
    “How good are the uh coding agents. And obviously everybody knows that the frontier companies are very focused on getting their models to be good at ML research.”
    Open episode and seek to 55:32

    ConceptAgents

    Report this moment

The Artificial Intelligence Show

#234: How HubSpot Is Reimagining the Entire Customer Journey With AI Agents

Play episode ↗
  1. A
    “built agents to basically help us, um, you know, execute that AEO strategy so that we could, uh, you know, show up better, get cited better”
    Play from 12:54

    ConceptAgents

    Report this moment
  2. B
    “I love that. So it sounds like you've actually correct me if I'm wrong been deploying agents to almost every phase of this cycle, you know from AEO to uh further demand qualification and to the actual strategy and TAM itself.”
    Play from 14:39

    ConceptAgents

    Report this moment
  3. A
    “you can deploy a prospecting agent to actually go and do the BDR job for you”
    Play from 14:53

    ConceptAgents

    Report this moment

The AI Daily Brief

What the Top AI Users Are Doing Differently

Open episode ↗
  1. A
    “the flippening where all of a sudden agentic output tokens are representing 53%. And by June, when this dataset ends, we're down to 36% while agentic tokens were up to 64%.”
    Open episode and seek to 19:23

    ConceptAgents

    Report this moment
  2. A
    “agentic takes a lot of those individual workflows and instead moves them into systems-level work that can impact more than just the individual”
    Open episode and seek to 23:23

    ConceptAgents

    Report this moment

The AI Native Dev

Lada Kesseler: I Trust AI Tests Less Than AI Code

Play episode ↗
  1. B
    “by default, agents aren't always the best at getting— at nailing something that we, you know, want.”
    Play from 06:12

    ConceptAgents

    Report this moment
  2. B
    “Because that's how the agent determines whether it should use that skill or not.”
    Play from 12:20

    ConceptAgents

    Report this moment
  3. B
    “if they're very generic, then they're gonna overlap so, so much, the agent's got no chance”
    Play from 12:25

    ConceptAgents

    Report this moment

Training Data

Parallel’s Parag Agrawal: Building a New Web for AI Agents

Play episode ↗
  1. A
    “We started Parallel with the bet that agents would do it 1,000x more than humans ever have.”
    Play from 01:25

    ConceptAgents

    Report this moment
  2. A
    “now it's way more tractable as a problem because of the existence of agents”
    Play from 00:00

    ConceptAgents

    Report this moment
  3. C
    “I'm like, I feel like I have this incredible, I can just see it coming a mile away. How do agents deal with things like that, right? Where these are, you know, well-trafficked pages, they have seemingly good answers, but you just know they're not real.”
    Play from 16:43

    ConceptAgents

    Report this moment
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