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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

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 · 19.7% · Sep 7–13, 2026 · About the same in the latest report

Agents

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

Sep 7–13, 2026

19.7%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 · Sep 7–13, 2026

A closer read

What changed
Its share rose from 13% to 19.7%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism” and “How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes”.
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

17 quoted moments · 6 episodes · 6 podcasts

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

Open episode ↗
  1. A
    “Meanwhile, OpenAI had published its own measure in a post about research acceleration inside the company. The unit was the agent workday, and OpenAI reported 3.1 of them for every human workday.”
    Open episode and seek to 06:19

    ConceptAgents

    Report this moment
  2. B
    “Mozilla has a project called the CQ Project, and the CQ Project is kind of an open standard for agents to share uh knowledge that they've gained, kind of a Stack Overflow for agents, as it's been called.”
    Open episode and seek to 55:14

    ConceptAgents

    Report this moment
  3. F
    “these agentic harnesses are like unhinged by design, but that's not compatible with the way a company works”
    Open episode and seek to 55:31

    ConceptAgents

    Report this moment

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

Open episode ↗
  1. A
    “I became convinced that the future was going to involve agents that could really aid humans in making discovery and accelerate the rate of scientific progress”
    Open episode and seek to 04:35

    ConceptAgents

    Report this moment
  2. A
    “replication agent is going to go gangbusters trying ah to replicate this idea, which is actually a completely new result”
    Open episode and seek to 1:15:53

    ConceptAgents

    Report this moment
  3. B
    “Because now organizations can evolve their own agentic systems that are coherent for them.”
    Open episode and seek to 1:50:14

    ConceptAgents

    Report this moment

Eye on AI

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

Open episode ↗
  1. A
    “The, um, on, on besides agents calling, uh, LLMs, agents are passing data, uh, between themselves. And this is something I've talked to people about. I mean, you don't know, you look at what happened with Anthropic and OpenAI, Uh, you know, there were— the models were going ou...”
    Open episode and seek to 43:52

    ConceptAgents

    Report this moment
  2. B
    “being able to share that same dataset but only have those other agents be able to read subsets of it, it's very powerful.”
    Open episode and seek to 45:42

    ConceptAgents

    Report this moment

No Priors

Coinbase’s Everything Exchange: Agentic Finance, Stablecoins, and Tokenization with CEO Brian Armstrong

Play episode ↗
  1. A
    “It kind of stands to reason that the agentic economy will be bigger than the human economy at some point in the not too distant future as well.”
    Play from 00:00

    ConceptAgents

    Report this moment
  2. A
    “that's been really cool. And we put together like this little fun, uh, website called agentic.market where people can go see the stats of how many payments are flowing in this new economy”
    Play from 05:49

    ConceptAgents

    Report this moment
  3. C
    “You mentioned, uh, things like stablecoin or crypto-backed credit cards. How do you think about what proportion of the future volume in the agentic future is going to be crypto versus, you know, more standardized finance rails?”
    Play from 06:36

    ConceptAgents

    Report this moment

Practical AI

Computer-Use Agents and the Future of the Agentic Internet

Open episode ↗
  1. B
    “they're doing amazing things, what you can get agents to go do”
    Open episode and seek to 16:30

    ConceptAgents

    Report this moment
  2. B
    “I just need the agents to buy the stuff within thresholds and stuff like that and be done with it.”
    Open episode and seek to 43:17

    ConceptAgents

    Report this moment
  3. B
    “Your agent learns your preferences. And then when it, when a deal comes from the agent that it's interacting with, and they'll, uh you know, that kind of upsell thing, your agent understands your behavior and what would be acceptable. And it can act autonomously to a certain d...”
    Open episode and seek to 46:33

    ConceptAgents

    Report this moment

The AI Daily Brief

AI Model Month Is Off to a Blistering Start

Open episode ↗
  1. A
    “agents will become proactive by default, software will improve itself, and even resource allocation will become intelligent”
    Open episode and seek to 11:28

    ConceptAgents

    Report this moment
  2. A
    “concluded this could be one of the first true mainstream consumer agents to get adoption”
    Open episode and seek to 28:54

    ConceptAgents

    Report this moment
  3. A
    “personal assistant agents are going to be a very exciting AI category.”
    Open episode and seek to 30:02

    ConceptAgents

    Report this moment
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