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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

2 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.

Economics · 3.6% · Aug 10–16, 2026 · Losing attention in the latest report

Economics

The cost of building and running AI, and how money moves through the market.

Aug 10–16, 2026

3.6%Losing attentionDown 6.6 percentage points from last week

Choose a week to read the discussion.— Below threshold

Economics, 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

Economics · Aug 10–16, 2026

A closer read

What changed
Its share fell from 10.2% to 3.6%, with evidence across 7 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
5 cited episodes from 5 podcasts are shown below. The topic appeared across 7 podcasts in the full analysis.

Podcast moments from the week

9 quoted moments · 5 episodes · 5 podcasts

The AI Daily Brief

How to Decide What Work AI Should Do for You: The AI Deputization Audit

Open episode ↗
  1. A
    “it feels like the model just isn't strong enough on the benchmarks to justify the cost difference.”
    Open episode and seek to 02:28

    ConceptEconomics

    Report this moment
  2. A
    “test the theory that Kimi K3 and GLM 5.2 had reached frontier performance at a fraction of the cost. In practice, what the study found was that at least for this use case, they were both around the same level as Sonnet 5 and much more expensive than GPT-5.6 SOL.”
    Open episode and seek to 06:15

    ConceptEconomics

    Report this moment

The Cognitive Revolution

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

Open episode ↗
  1. A
    “One big question that brings to mind is how you are managing caching. And then caching is, of course, is just one, you know, angle on managing cost in general. So maybe we could expand beyond caching and talk about cost management.”
    Open episode and seek to 25:01

    ConceptEconomics

    Report this moment
  2. B
    “these things still cost more than the human employee, but not for very long.”
    Open episode and seek to 26:05

    ConceptEconomics

    Report this moment
  3. A
    “Do you, I'm sure you do, I don't know if you wanna share it, but do you have a ratio of Not, I don't mean all inference spend, like including your customers' use cases, but like your own internal inference versus your payroll. How is that ratio trending?”
    Open episode and seek to 1:00:18

    ConceptEconomics

    Report this moment

Last Week in AI

#254 - Rogue AI hacking, bio-weapons, Dean & Hassabis out

Play episode ↗
  1. B
    “A really good sign that a company is on the decline is that it starts caring about its actual stock market price.”
    Play from 1:40:33

    ConceptEconomics

    Report this moment

The Artificial Intelligence Show

#230: Big Google AI Leadership Shakeups, New Details of OpenAI’s Agent Hack, White House AI Framework & OpenAI’s Astra Model Delayed

Play episode ↗
  1. A
    “they're basically trying to sell this reorg to the market. that this is all part of the plan and it's all going to work out.”
    Play from 20:28

    ConceptEconomics

    Report this moment
  2. A
    “I thought that was really interesting because they were basically saying, you know, the people you talk to, a lot of their contacts are within the tech world, but are you talking to people who are spending more on tokens, more on AI and inference than they are on human workers...”
    Play from 1:17:17

    ConceptEconomics

    Report this moment
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