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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.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 · 15.4% · Aug 10–16, 2026 · About the same in the latest report

Agents

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

Aug 10–16, 2026

15.4%Gaining attentionUp 6.7 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 10–16, 2026

A closer read

What changed
Its share rose from 8.7% to 15.4%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “How to Decide What Work AI Should Do for You: The AI Deputization Audit” and “Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses”.
How to read it
6 cited episodes from 5 podcasts are shown below. The topic appeared across 12 podcasts in the full analysis.

Podcast moments from the week

12 quoted moments · 6 episodes · 5 podcasts

The Cognitive Revolution

Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He Uses

Open episode ↗
  1. B
    “I think like what we are releasing today is called Lindy teammate. It is an AI employee that lives in your Slack, connects to all of your tools, accumulates your entire teams context. And it's really like a team scaffold. I think like AI right now is in the middle of making th...”
    Open episode and seek to 04:07

    ConceptAgents

    Report this moment
  2. B
    “I'm very bullish on this like agentic management approach because you have an actual agent which has its own memory.”
    Open episode and seek to 11:25

    ConceptAgents

    Report this moment
  3. B
    “That's like, I think it's like 20 or 30% more token efficient than JSON. JSON is actually not that token efficient. So Toon works better. It's 20 or 30%. So this works. This is less important for like memory agents, but it's just, I recommend everyone like makes their agent us...”
    Open episode and seek to 44:46

    ConceptAgents

    Report this moment

The AI Daily Brief

The AI Agent Platform for Everyone

Open episode ↗
  1. A
    “The promise of AI agents might finally be becoming a reality.”
    Open episode and seek to 00:00

    ConceptAgents

    Report this moment
  2. A
    “the agent likely will be good enough to handle a wide range of work tasks end to end.”
    Open episode and seek to 15:23

    ConceptAgents

    Report this moment
  3. A
    “this is currently the best mainstream interface for agentic AI that I've seen from any leading company”
    Open episode and seek to 18:29

    ConceptAgents

    Report this moment

AI For Humans

Zuck Wants Superintelligence. Do People Even Want AI?

Play episode ↗
  1. B
    “Told his agent to go get it. The agent realized, oh, the class is full, but it did not give up. It was full dog with a bone mode. It found a vulnerability in the software, in the API of the booking system that allowed it to cancel someone else's booking and put its owner right...”
    Play from 18:32

    ConceptAgents

    Report this moment

The AI Native Dev

The Background Check You Can't Run on an AI Agent

Play episode ↗
  1. A
    “'Cause the feature and the bug are the same. And the fundamental question is, how do I know that an agent is performing actions aligned with the intent of whoever sent that agent to do something?”
    Play from 00:21

    ConceptAgents

    Report this moment
  2. A
    “Exactly, right? And so that is— Makes it snappy. Makes it snappy, but that would be deeply unaligned with what the actual user wants that agent to do. And so that's finally a question of identity and access. And the difference between what we've had and what with agents is I a...”
    Play from 06:49

    ConceptAgents

    Report this moment
  3. A
    “Or another way to think is, do I trust an agent to be able to perform this action?”
    Play from 08:30

    ConceptAgents

    Report this moment
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