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

VAIBE tracks AI-focused podcasts: what changed, and the moments behind it.

Agents attention gained ground while adoption use cases cooled

Across 26 episodes from 13 contributing podcasts, agents rose 6.7 points to 19.7% while adoption use cases fell 6.2 points to 28.5%.

The week, in context

What changed
Agents rose 6.7 points and Adoption Use Cases fell 6.2 points.
Where it showed up
Agents and Adoption Use Cases accounted for 48% of the relevant conversation across 26 episodes.
How to read it
Recurrence across podcasts does not mean agreement. The cited moments show the language behind each summary.

In the discussion

Meanwhile, OpenAI had published its own measure in a post about research acceleration inside the company. The unit was the agent workday, and OpenAI reported 3.1 of them for every human workday.
The Cognitive RevolutionAt 06:19Hear the context
Report this quote

What’s hot this week

Open a topic for the podcast moments behind it.

  1. AgentsAI systems that can plan, use tools, and carry out multi-step tasks.Discussion of agents grew compared with recent weeks. It made up 20% of the conversation across 12 podcasts this week.Gaining attention20% of this week · 12 podcasts
  2. Adoption Use CasesPractical ways people and organizations are putting AI to work.Discussion of adoption use cases eased compared with recent weeks. It made up 29% of the conversation across 13 podcasts this week.Losing attention29% of this week · 13 podcasts
  3. ResearchNew models, training methods, benchmarks, and discoveries from AI labs.Discussion of research eased compared with recent weeks. It made up 17% of the conversation across 12 podcasts this week.Losing attention17% of this week · 12 podcasts
  4. Safety & governanceWays to reduce harm, set limits, test behavior, and govern how AI is used.Discussion of safety & governance stayed near its recent level. It made up 14% of the conversation across 12 podcasts this week.About the same14% of this week · 12 podcasts
Showing 4 of 9 topicsShowing all 9 topicsView 5 more topicsShow fewer topics
  1. EconomicsThe cost of building and running AI, and how money moves through the market.Discussion of economics grew compared with recent weeks. It made up 7% of the conversation across 13 podcasts this week.Gaining attention7% of this week · 13 podcasts
  2. RegulationLaws, rules, and government decisions about how AI may be built and used.Discussion of regulation grew compared with recent weeks. It made up 6% of the conversation across 7 podcasts this week.Gaining attention6% of this week · 7 podcasts
  3. Open ModelsAI models whose weights or code are available for others to use and adapt.Discussion of open models stayed near its recent level. It made up 3% of the conversation across 6 podcasts this week.About the same3% of this week · 6 podcasts
  4. JobsHow AI is changing work, hiring, roles, and the skills people need.Discussion of jobs stayed near its recent level. It made up 2% of the conversation across 7 podcasts this week.About the same2% of this week · 7 podcasts
  5. HardwareThe chips, data centers, energy, and devices that AI depends on.Discussion of hardware eased compared with recent weeks. It made up 1% of the conversation across 7 podcasts this week.Losing attention1% of this week · 7 podcasts
Back to all concepts
From Sep 7–13, 2026

About this Concept

Agents

AI systems that can plan, use tools, and carry out multi-step tasks.

Trend this week

Gaining attention

12 of 12 published weeks met the cross-podcast threshold.

A closer read

What changed
Its share rose from 13% to 19.7%, with evidence across 12 podcasts.
Where it showed up
It appeared in episodes including “AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism” and “How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 12 podcasts in the full analysis.

Podcast moments from the week

17 quoted moments · 6 episodes · 6 podcasts

The Cognitive Revolution

AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

Open episode ↗
  1. A
    “Meanwhile, OpenAI had published its own measure in a post about research acceleration inside the company. The unit was the agent workday, and OpenAI reported 3.1 of them for every human workday.”
    Open episode and seek to 06:19

    ConceptAgents

    Report this moment
  2. B
    “Mozilla has a project called the CQ Project, and the CQ Project is kind of an open standard for agents to share uh knowledge that they've gained, kind of a Stack Overflow for agents, as it's been called.”
    Open episode and seek to 55:14

    ConceptAgents

    Report this moment
  3. F
    “these agentic harnesses are like unhinged by design, but that's not compatible with the way a company works”
    Open episode and seek to 55:31

    ConceptAgents

    Report this moment

Machine Learning Street Talk

How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

Open episode ↗
  1. A
    “I became convinced that the future was going to involve agents that could really aid humans in making discovery and accelerate the rate of scientific progress”
    Open episode and seek to 04:35

    ConceptAgents

    Report this moment
  2. A
    “replication agent is going to go gangbusters trying ah to replicate this idea, which is actually a completely new result”
    Open episode and seek to 1:15:53

    ConceptAgents

    Report this moment
  3. B
    “Because now organizations can evolve their own agentic systems that are coherent for them.”
    Open episode and seek to 1:50:14

    ConceptAgents

    Report this moment

Eye on AI

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

Open episode ↗
  1. A
    “The, um, on, on besides agents calling, uh, LLMs, agents are passing data, uh, between themselves. And this is something I've talked to people about. I mean, you don't know, you look at what happened with Anthropic and OpenAI, Uh, you know, there were— the models were going ou...”
    Open episode and seek to 43:52

    ConceptAgents

    Report this moment
  2. B
    “being able to share that same dataset but only have those other agents be able to read subsets of it, it's very powerful.”
    Open episode and seek to 45:42

    ConceptAgents

    Report this moment

No Priors

Coinbase’s Everything Exchange: Agentic Finance, Stablecoins, and Tokenization with CEO Brian Armstrong

Play episode ↗
  1. A
    “It kind of stands to reason that the agentic economy will be bigger than the human economy at some point in the not too distant future as well.”
    Play from 00:00

    ConceptAgents

    Report this moment
  2. A
    “that's been really cool. And we put together like this little fun, uh, website called agentic.market where people can go see the stats of how many payments are flowing in this new economy”
    Play from 05:49

    ConceptAgents

    Report this moment
  3. C
    “You mentioned, uh, things like stablecoin or crypto-backed credit cards. How do you think about what proportion of the future volume in the agentic future is going to be crypto versus, you know, more standardized finance rails?”
    Play from 06:36

    ConceptAgents

    Report this moment

Practical AI

Computer-Use Agents and the Future of the Agentic Internet

Open episode ↗
  1. B
    “they're doing amazing things, what you can get agents to go do”
    Open episode and seek to 16:30

    ConceptAgents

    Report this moment
  2. B
    “I just need the agents to buy the stuff within thresholds and stuff like that and be done with it.”
    Open episode and seek to 43:17

    ConceptAgents

    Report this moment
  3. B
    “Your agent learns your preferences. And then when it, when a deal comes from the agent that it's interacting with, and they'll, uh you know, that kind of upsell thing, your agent understands your behavior and what would be acceptable. And it can act autonomously to a certain d...”
    Open episode and seek to 46:33

    ConceptAgents

    Report this moment

The AI Daily Brief

AI Model Month Is Off to a Blistering Start

Open episode ↗
  1. A
    “agents will become proactive by default, software will improve itself, and even resource allocation will become intelligent”
    Open episode and seek to 11:28

    ConceptAgents

    Report this moment
  2. A
    “concluded this could be one of the first true mainstream consumer agents to get adoption”
    Open episode and seek to 28:54

    ConceptAgents

    Report this moment
  3. A
    “personal assistant agents are going to be a very exciting AI category.”
    Open episode and seek to 30:02

    ConceptAgents

    Report this moment

Signals to keep watching

Research

Holding steady

Research held its ground

Its share has stayed near 16.5% of the conversation for three weeks.

Share of this week’s podcast conversation

Recent weeks19.6%This week16.5%

Came up less often than in recent weeks.

Podcast moments5 cited moments
  1. The Cognitive Revolution

    AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

    You know, one of the people online, Ethan Mollick, who's a professor, um, who tests a lot of models, he, uh, posted the meter, the famous meter hours, you know, hours of work chart. There hasn't been an update for a while now. You know, I think it's—
    Open episode and seek to 05:27
    In Tuesday's closing, I read OpenAI's announcement about an internal model it described as significantly more capable than Astra. The announcement concerned a proposed Navier-Stokes proof with a smooth external force. The unforced problem remained separate.
    Open episode and seek to 26:43
  2. Machine Learning Street Talk

    How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

    it's not very good at training agents to come up with their own goals, to ask questions rather than answer them.
    Open episode and seek to 46:58
    base model can do the thing that harness could do.
    Open episode and seek to 1:40:46
  3. Interconnects

    One resignation turned the embers of AI fear into a wildfire

    This view dramatically undersells human bottlenecks in building models and allocating resources at organisations
    Open episode and seek to 05:13

Hardware

Changed direction

Hardware reversed course

Its share fell from 5.3% last week to 0.9% this week, reversing the previous week's rise.

Share of this week’s podcast conversation

Recent weeks4.6%This week0.9%

Came up less often than in recent weeks.

Podcast moments1 cited moment
  1. The Cognitive Revolution

    Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica

    maybe we can't even prevent them from training frontier models on their own chips right now anyway.
    Open episode and seek to 2:07:52

Agents

Gaining attention

Agents gained ground

Its share grew from 13% last week to 19.7% this week.

Share of this week’s podcast conversation

Recent weeks11.4%This week19.7%

Came up more often than in recent weeks.

Podcast moments5 cited moments
  1. The Cognitive Revolution

    AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

    Meanwhile, OpenAI had published its own measure in a post about research acceleration inside the company. The unit was the agent workday, and OpenAI reported 3.1 of them for every human workday.
    Open episode and seek to 06:19
    Mozilla has a project called the CQ Project, and the CQ Project is kind of an open standard for agents to share uh knowledge that they've gained, kind of a Stack Overflow for agents, as it's been called.
    Open episode and seek to 55:14
  2. Machine Learning Street Talk

    How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

    I became convinced that the future was going to involve agents that could really aid humans in making discovery and accelerate the rate of scientific progress
    Open episode and seek to 04:35
    replication agent is going to go gangbusters trying ah to replicate this idea, which is actually a completely new result
    Open episode and seek to 1:15:53
  3. Eye on AI

    The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

    The, um, on, on besides agents calling, uh, LLMs, agents are passing data, uh, between themselves. And this is something I've talked to people about. I mean, you don't know, you look at what happened with Anthropic and OpenAI, Uh, you know, there were— the models were going ou...
    Open episode and seek to 43:52

Adoption Use Cases

Losing attention

Adoption Use Cases cooled

Its share fell from 34.7% last week to 28.5% this week.

Share of this week’s podcast conversation

Recent weeks35.2%This week28.5%

Came up less often than in recent weeks.

Podcast moments5 cited moments
  1. The AI Daily Brief

    10 Ways to Think Bigger with Opportunity AI

    It is going to be the foundation for most of our use of AI. It's where a lot of the initial value for AI is going to come.
    Open episode and seek to 02:40
    I wouldn't be surprised if these more advanced models have a similar sort of democratization effect on video production as the coding agents have had with building software.
    Open episode and seek to 09:56
  2. The Cognitive Revolution

    AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

    open models crossed this invisible line of usefulness for, you know, long horizon agentic use cases
    Open episode and seek to 1:04:13
    I feel like some of these companies, how they're talking about this technology is not helpful.
    Open episode and seek to 1:12:01
  3. Machine Learning Street Talk

    How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes

    the things they were doing proactively became genuinely useful. And of course, now you have a lever that you can pull to scale the number of agents and then to scale the rate at which you can do useful stuff in the company.
    Open episode and seek to 1:49:22

Regulation

Gaining attention

Regulation gained ground

Its share grew from 2.8% last week to 5.9% this week.

Share of this week’s podcast conversation

Recent weeks2.2%This week5.9%

Came up more often than in recent weeks.

Podcast moments5 cited moments
  1. The Cognitive Revolution

    AI:AM Highlights: Astra as AGI, OpenAI's Pause, Mythos @ Mozilla & Human Agency vs Technocapitalism

    We might really fuck it up, frankly, because we are the government, right? And we do get heavy-handed
    Open episode and seek to 41:51
    Or would he rather have the EPA on his ass at every data center he's going to try to build, at every launch site he's going to try to build, The government has a lot of sticks and they're willing to bend the rules, right? So sure, you could challenge it in court, but I'll see ...
    Open episode and seek to 44:03
  2. The AI Daily Brief

    Anthropic Researcher Says AI Has Over a 10% Chance of Killing All Humans

    I fear that the generic hand-waviness of these sorts of predictions make them much more dangerous for policy.
    Open episode and seek to 29:02
  3. The Cognitive Revolution

    Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica

    This is the kind of thing we need more of in society, between these companies, and ultimately, eventually, I think, between governments.
    Open episode and seek to 3:00:32
  4. Last Week in AI

    #256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash

    you need the government the U.S. government to step in and regulate. You have to tell them you're going to have a third-party auditor look at your stuff
    Play from 55:17

Economics

Gaining attention

Economics gained ground

Its share grew from 5% last week to 7% this week.

Share of this week’s podcast conversation

Recent weeks4.3%This week7.0%

Came up more often than in recent weeks.

Podcast moments3 cited moments
  1. The TWIML AI Podcast

    Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776

    Which is real sticker shock. And you know, The analogy here is like, it used to cost me $20 to take a rideshare to the airport, Uber or Lyft, and now it costs $90.
    Open episode and seek to 26:55
  2. Last Week in AI

    #256 - Fable 5.1, Astra Tease, Gemini 3.8 Flash

    it would be unsurprising if NVIDIA continues to grow at an insane rate. And at this rate of growth, it will exceed Apple and Alphabet in size and become one of the biggest, if not the biggest tech company in the US market.
    Play from 26:32
    You actually do want to maintain realistic pricing. And so you can only monetize so much so aggressively.
    Play from 28:46

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