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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

11 topics shown · 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 · 5% · Aug 31–Sep 6, 2026 · Losing attention in the latest report

Economics

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

Aug 31–Sep 6, 2026

5%About the sameUp 0.1 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 31–Sep 6, 2026

A closer read

What changed
Its share rose from 4.9% to 5%, with evidence across 7 podcasts.
Where it showed up
It appeared in episodes including “How AI Changed This Summer” and “#236: AI Answers - No Time for AI, AI Budgets, Vendor Terms & Data Risk, AI Disclosure & Vanishing Entry Level Roles”.
How to read it
3 cited episodes from 3 podcasts are shown below. The topic appeared across 7 podcasts in the full analysis.

Podcast moments from the week

5 quoted moments · 3 episodes · 3 podcasts

The AI Daily Brief

How AI Changed This Summer

Open episode ↗
  1. A
    “the market started to understand that the total addressable market was not, in fact, number of knowledge workers times $20 per seat per month, but could be hundreds or even thousands of dollars for those same knowledge workers each month.”
    Open episode and seek to 17:36

    ConceptEconomics

    Report this moment

The Artificial Intelligence Show

#236: AI Answers - No Time for AI, AI Budgets, Vendor Terms & Data Risk, AI Disclosure & Vanishing Entry Level Roles

Play episode ↗
  1. B
    “Right. Number 8, how should a company fund its AI investments over the next few years? And where should I expect the new spending to come from?”
    Play from 30:29

    ConceptEconomics

    Report this moment

AI Inside

What Happens When Nvidia Owns Hugging Face

Play episode ↗
  1. B
    “more capability, but the price kind of still continuing to come down.”
    Play from 13:25

    ConceptEconomics

    Report this moment
  2. C
    “I can imagine that's going to be difficult. Um, it says vendors like Salesforce now tie their prices directly to the revenue gains or cost cuts customers see. So it's got to be about value, not just about buy more tokens, token max, and so on.”
    Play from 15:53

    ConceptEconomics

    Report this moment
  3. B
    “At the higher level, you understand that deeper work, let's say, costs more money, but how that translates into tokens and token usage when you hear that term flown around— but um there's no easy way to monitor that, or at least if it exists, most people don't know that it exi...”
    Play from 19:49

    ConceptEconomics

    Report this moment
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