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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

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.

Economics · 9.5% · Jul 20–26, 2026 · Losing attention in the latest report

Economics

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

Jul 20–26, 2026

9.5%Gaining attentionUp 3.3 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 · Jul 20–26, 2026

A closer read

What changed
Its share rose from 6.2% to 9.5%, with evidence across 10 podcasts.
Where it showed up
It appeared in episodes including “A Field Guide to AI Market Freakouts” and “Inside the Model Factory — Eiso Kant, Poolside AI”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 10 podcasts in the full analysis.

Podcast moments from the week

9 quoted moments · 6 episodes · 6 podcasts

Latent Space

Inside the Model Factory — Eiso Kant, Poolside AI

Open episode ↗
  1. C
    “I thought it was interesting. So in the Laguna medium and extra small, you even quoted number of GPU hours for how many days and whatever for different size. And I'm like, oh, you can also work backwards to how much that costs, right? What GPUs, how many hours.”
    Open episode and seek to 1:18:46

    ConceptEconomics

    Report this moment

AI Inside

GPT-5.6 Broke Out and Hacked Hugging Face

Play episode ↗
  1. C
    “I think that's part of it. And then when it gets, uh, for everyone so popular— whereas an American capitalist company will undercut themselves with a loss leader until they got you hooked, and then they raise the price.”
    Play from 18:44

    ConceptEconomics

    Report this moment

The AI Native Dev

From Living Room Hack to 30 AI Agents at Cyera

Play episode ↗
  1. C
    “The tools drive another set of constraints and determinism. So I like that you're sort of building that. And I love also, like, as we had conversations about this, it also sounds like you didn't set out to do this, but in practice, this also saves you substantial cost, because...”
    Play from 37:40

    ConceptEconomics

    Report this moment

Training Data

Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself

Play episode ↗
  1. B
    “Because it feels like the world has changed a lot. We've gone from token maxing to now cost rationalization. What does that mean for Factory?”
    Play from 23:34

    ConceptEconomics

    Report this moment
  2. C
    “What does outcome-based mean for your market? What would be the definition of an outcome?”
    Play from 33:26

    ConceptEconomics

    Report this moment
  3. B
    “Maybe this is a good time to talk about business model, given that especially with the rise of open weight models, The cost differential. I imagine that means very different things for your cost structure, but very similar value delivered to customers. How do you think about b...”
    Play from 32:37

    ConceptEconomics

    Report this moment

Me, Myself, and AI

Creating Shared Prosperity With AI: Stanford Digital Economy Lab’s Erik Brynjolfsson

Open episode ↗
  1. C
    “Actually, I like that point. I mean, the US government, I think, put like $1.5 billion or so into non-defense research spending last year, and that's roughly what Google is putting in. You know, the NIH and NSF budgets are just small. And so, as you point out, we are not going...”
    Open episode and seek to 28:20

    ConceptEconomics

    Report this moment
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