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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

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 · 4.9% · Aug 24–30, 2026 · Losing attention in the latest report

Economics

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

Aug 24–30, 2026

4.9%About the sameUp 1.8 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 24–30, 2026

A closer read

What changed
Its share rose from 3.1% to 4.9%, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “Parallel’s Parag Agrawal: Building a New Web for AI Agents” and “#233: OpenAI Pauses Some AI Training, Anthropic Controversy, New State Opposition to Data Centers & AI Job Loss Among Young Workers”.
How to read it
4 cited episodes from 4 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

5 quoted moments · 4 episodes · 4 podcasts

Training Data

Parallel’s Parag Agrawal: Building a New Web for AI Agents

Play episode ↗
  1. A
    “Favorite thing. So the challenge with Shapley values is computing Shapley values in our context is way more expensive than the amount of dollars we spend on the agent. Forget the amount of dollars we want to pay a publisher, right? So to compute a content owner, to compute tha...”
    Play from 44:08

    ConceptEconomics

    Report this moment
  2. A
    “Efficient differential pricing. Paying for differentially a lot for extraordinarily high-value content. Paying a lot for high-value work accessing the same content. So it's differential on both dimensions, quality and value of work being done with it, and a way of doing this s...”
    Play from 39:26

    ConceptEconomics

    Report this moment

The Artificial Intelligence Show

#233: OpenAI Pauses Some AI Training, Anthropic Controversy, New State Opposition to Data Centers & AI Job Loss Among Young Workers

Play episode ↗
  1. A
    “First, on the revenue and the valuation, you know, the potential market cap at $2 trillion, it's just hard to comprehend. I don't know that most people have the ability to really think about these numbers and how significant they really are. And then just going back to a point...”
    Play from 22:56

    ConceptEconomics

    Report this moment

Eye on AI

95% of AI Agent Projects Fail to Reach Production. Here's Why | Manoj Saxena, TrustWise

Open episode ↗
  1. A
    “You gave an example of an agent that gets stuck in a loop and is burning tokens. Which of course is money. And there's been a lot of talk in the last couple of months as these systems move out of pilot mode into production that people are discovering that this can quickly get ...”
    Open episode and seek to 31:20

    ConceptEconomics

    Report this moment
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