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

This week across AI podcasts

Adoption Use Cases and research led the first week of tracking

Across 27 episodes from 15 contributing podcasts, adoption use cases held 30.1% of the relevant conversation and research held 18.5%.

27 Episodes analyzed15 Podcasts contributed this week1 Week observed

All 27 public episodes released by tracked podcasts that week were analyzed. Podcasts without a release are not counted as weekly contributors.

The TL;DR

What changed
This is the first published week, so there is no earlier report to compare.
Where it showed up
Adoption Use Cases, Research, and Safety & governance accounted for 65% of the relevant conversation across 27 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.

Inside this report

Leading conversations this week

Percentages show how much of the relevant podcast conversation each topic occupied—not whether hosts agreed with it. Open a topic for its moments and sources.

  1. Adoption Use CasesPractical ways people and organizations are putting AI to work.14 podcasts · 445 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and The Cognitive Revolution +11 more30%of this week's conversation
  2. ResearchNew models, training methods, benchmarks, and discoveries from AI labs.11 podcasts · 301 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and No Priors +8 more19%of this week's conversation
  3. Safety & governanceWays to reduce harm, set limits, test behavior, and govern how AI is used.13 podcasts · 268 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI Inside +10 more17%of this week's conversation
  4. AgentsAI systems that can plan, use tools, and carry out multi-step tasks.12 podcasts · 152 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and The Cognitive Revolution +9 more8%of this week's conversation
  5. EconomicsThe cost of building and running AI, and how money moves through the market.13 podcasts · 95 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI Inside +10 more7%of this week's conversation
  6. RegulationLaws, rules, and government decisions about how AI may be built and used.8 podcasts · 95 relevant passagesThe AI Daily Brief, The Cognitive Revolution, and AI For Humans +5 more6%of this week's conversation
  7. Open ModelsAI models whose weights or code are available for others to use and adapt.7 podcasts · 27 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and Last Week in AI +4 more5%of this week's conversation
Showing 7 of 11 leading conversationsView 4 more conversationsShow fewer conversations
  1. JobsHow AI is changing work, hiring, roles, and the skills people need.9 podcasts · 30 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and No Priors +6 more4%of this week's conversation
  2. HardwareThe chips, data centers, energy, and devices that AI depends on.8 podcasts · 44 relevant passagesMachine Learning Street Talk, The Cognitive Revolution, and AI For Humans +5 more2%of this week's conversation
  3. InfrastructureThe software and systems needed to build, deploy, and monitor AI.6 podcasts · 44 relevant passagesThe Cognitive Revolution, AI For Humans, and Last Week in AI +3 more2%of this week's conversation
  4. OtherAI discussion that does not fit another recurring topic.9 podcasts · 33 relevant passagesMachine Learning Street Talk, The AI Daily Brief, and AI For Humans +6 more1%of this week's conversation
Back to all concepts
From Jun 22–28, 2026

About this Concept

Adoption Use Cases

Practical ways people and organizations are putting AI to work.

Trend this week

1 of 1 week tracked had mentions across multiple podcasts.

A closer read

What changed
This was its first published appearance at 30.1% of the conversation, with evidence across 14 podcasts.
Where it showed up
It appeared in episodes including “The Thermodynamic AI Computing Chip - Thomas Ahle” and “The Capability Overhang Playbook”.
How to read it
6 cited episodes from 4 podcasts are shown below. The topic appeared across 14 podcasts in the full analysis.

Podcast moments from the week

Moments are grouped by episode so repeated excerpts from one conversation do not look like separate sources.

16 quoted moments · 6 episodes · 4 podcasts

Machine Learning Street Talk

The Thermodynamic AI Computing Chip - Thomas Ahle

Open episode ↗
  1. C
    “Well, you know, there's a tendency to anthropomorphize it, but no, like millions of people are using Claude code because this is tangentially related to how we you know, how we come up with causal abstractions in the world. So, you know, the way we do it is we are in the world...”

    ConceptAdoption Use Cases

    Report this moment
  2. C
    “And eventually you'll come into the landing track and it works really well.”

    ConceptAdoption Use Cases

    Report this moment
  3. A
    “Yeah, I was thinking about, there is this older tweet by Elon Musk. I don't know if people were laughing at him. I mean, I don't know, he tweets a lot, but He was saying, why don't LLMs just write the binaries directly or the assembly?”

    ConceptAdoption Use Cases

    Report this moment

The AI Daily Brief

The Capability Overhang Playbook

Open episode ↗
  1. A
    “Okay, so the setup and premise is clear. We're in a forced AI pause, but we're in a forced AI pause where we are all already dealing with the capability overhang. So what can you do and what can your organization do to close that overhang? What follows is all just my ideas for...”

    ConceptAdoption Use Cases

    Report this moment
  2. A
    “Now, we do have our new website where each of the episodes is chunked into highly shareable little cards, but the next step is to wire that together with an agentic system for distributing that out into the world. So that's the type of thing that I'm going to be thinking about...”

    ConceptAdoption Use Cases

    Report this moment
  3. A
    “The personal context portfolio builder is going to allow you to interact with an agent that through the interview will be building out a set of context documents, which then you can share with any new AI tool or agent you're using.”

    ConceptAdoption Use Cases

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The AI Daily Brief

The Ad Hoc AI Licensing Regime

Open episode ↗
  1. A
    “I think we're going to see a lot more experimentation and discussion around the idea of AI as moving to multiplayer in the coming weeks.”

    ConceptAdoption Use Cases

    Report this moment

The Cognitive Revolution

AI:AM #4: Cameron on Model Consciousness, Duvenaud's Gradual Disempowerment, swyx's AI-Eng Alpha

Open episode ↗
  1. C
    “Creating evals that reflect the problems that they have but are not solved, that are all private, is good for them Good for business, good for the industry.”

    ConceptAdoption Use Cases

    Report this moment
  2. C
    “Quite simply, it just takes one security incident where you leak information that you weren't supposed to leak because you trained on customer data. Or my information was somehow exposed to my teammate's information, even though if we work in the same team, I'm like, wait, wai...”

    ConceptAdoption Use Cases

    Report this moment
  3. C
    “The company should have a sovereign system of record, not the individual SaaSes, like, because like, ultimately, like a lot of the SaaS economy is built on, we will sit on this, we will be a system of record for this kind of data. data, like your meeting notes, your calendar, ...”

    ConceptAdoption Use Cases

    Report this moment

The AI Daily Brief

Botsitting: The Work Draining AI Gains

Open episode ↗
  1. A
    “Now, one of the things that you may or may not have noticed this year is that I've done a little bit less coverage of studies from, for example, consulting firms or enterprise-focused research houses. And there is an actual specific reason for that. There's actually a couple o...”

    ConceptAdoption Use Cases

    Report this moment
  2. A
    “I disagree with the report's key argument about why only 13% of those workers say their organization is performing better”

    ConceptAdoption Use Cases

    Report this moment
  3. A
    “My position is that even if they weren't spending those 6.4 hours a week bot sitting, you still wouldn't see a direct translation from individual productivity to organizational performance.”

    ConceptAdoption Use Cases

    Report this moment

AI Inside

Liz Reid on What Publishers Get Wrong About AI

Play episode ↗
  1. B
    “And so, at some level, you know, I think of keyword ease as kind of like you had this question in your mind, and then it was your job to translate it to the computer so the computer could understand.”

    ConceptAdoption Use Cases

    Report this moment
  2. D
    “Liz, I'm fascinated with the notion that search has now expanded so much. And it started with a keyword, search for this word and find it, right? And then it became most recently, I think, questions. And people— I'm in the habit now of asking it questions because I know I'm go...”

    ConceptAdoption Use Cases

    Report this moment
  3. C
    “Obviously, bugs happen and everything like that. Totally understandable. Something like that was a pretty low-impact thing. I mean, maybe a lot of people saw it, but it wasn't the worst outcome in the world. It was just kind of hilarious.”

    ConceptAdoption Use Cases

    Report this moment

Changes across weeks

Patterns worth following

The changes that stood out compared with recent weeks. A Pattern must show up across multiple podcasts and weeks.

Opening edition

This week is our starting point.

Patterns need at least two weeks to compare. This is the first published week, so there is no change to show yet.

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