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In the latest report, the remaining 1% of attention can include unpublished topics and podcasts with no qualifying discussion.

3 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.

Infrastructure · 9.3% · Jul 13–19, 2026 · About the same in the latest report

Infrastructure

The software and systems needed to build, deploy, and monitor AI.

Jul 13–19, 2026

9.3%Gaining attentionNo comparable prior week

Choose a week to read the discussion.— Below threshold

Infrastructure, 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

Infrastructure · Jul 13–19, 2026

A closer read

What changed
This was its first published appearance at 9.3% of the conversation, with evidence across 9 podcasts.
Where it showed up
It appeared in episodes including “The Self-Driving Company” and “The Future of AI Infrastructure with CoreWeave”.
How to read it
6 cited episodes from 6 podcasts are shown below. The topic appeared across 9 podcasts in the full analysis.

Podcast moments from the week

13 quoted moments · 6 episodes · 6 podcasts

The AI Daily Brief

The Self-Driving Company

Open episode ↗
  1. A
    “Compare that to a software bug where when the code runs, it does something verifiably wrong. That bug is gonna be much easier for AI to fix than the much more intangible marketing issue. And while I don't believe that that means that this sort of self-driving should be enginee...”
    Open episode and seek to 17:10

    ConceptInfrastructure

    Report this moment

Practical AI

The Future of AI Infrastructure with CoreWeave

Open episode ↗
  1. C
    “We are seeing the opportunities for AI-based applications to evolve and grow into a similar way that cloud-based opportunities back in the early days grew and evolved”
    Open episode and seek to 02:12

    ConceptInfrastructure

    Report this moment
  2. B
    “When you, when you talk about that kind of AI-centric approach that you're taking, With a lot of people, and we certainly are guilty of it on the show, like people here, for a long time we were talking about the latest models coming out and we were in that. And the last year i...”
    Open episode and seek to 04:09

    ConceptInfrastructure

    Report this moment
  3. C
    “Yeah, absolutely. Well, you know, maybe as a starting point, it would help to explain maybe the different, the sort of different streams of AI, right? And you sort of mentioned agentic. And so maybe I'll start there and talk because I think it helps a little bit of a frame. An...”
    Open episode and seek to 05:14

    ConceptInfrastructure

    Report this moment

Latent Space

🔬 The Lab of the Future Should Feel Like a Data Center — Andy Beam & Rafa Gómez-Bombarelli, Lila Sciences

Open episode ↗
  1. B
    “We think that like the lab of the future should feel like a data center, rows of server racks as densely packed as possible and also as energy efficient as possible and things like that.”
    Open episode and seek to 00:36

    ConceptInfrastructure

    Report this moment
  2. B
    “This is going to be a boring and obvious one, but like, um, there's a metric that you use to track how efficient your training runs are. Um, it's called mean flop utilization or MFU. So the GPU comes with an advertised like peak flop throughput, which is under the best situati...”
    Open episode and seek to 1:38:13

    ConceptInfrastructure

    Report this moment

AI Inside

Apple Says OpenAI Stole Its Secrets

Play episode ↗
  1. B
    “And they, they kept it at that range because smaller, um, data— because data centers aren't just about AI, they're about a lot of different things, right? They're a lot about all sorts of infrastructure. And so they didn't want to cut it off from that.”
    Play from 1:06:02

    ConceptInfrastructure

    Report this moment

Eye on AI

6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana

Open episode ↗
  1. A
    “6 in 10 enterprises cannot automatically identify the root cause across AI infrastructure domains when AI workloads fail. Why root cause is so much harder in an AI factory than in traditional enterprise IT to discover. What you're saying, we're entering a phase where AI ROI wi...”
    Open episode and seek to 00:00

    ConceptInfrastructure

    Report this moment
  2. A
    “Right. And the study that you've done, the AI Factory Reality Check, I believe it's called, you're finding that these AI factories, to use that term, but these systems are growing faster than there is ability to operate them or maintain them or—”
    Open episode and seek to 09:10

    ConceptInfrastructure

    Report this moment
  3. B
    “make sure the governance and controls that you've got built into all of your legacy infrastructure get replicated in this AI data center world”
    Open episode and seek to 09:42

    ConceptInfrastructure

    Report this moment

Last Week in AI

#252 - GPT 5.6, Grok 4.5, Nemotron-Labs-Diffusion, AI 2040

Play episode ↗
  1. A
    “We have seen, by the way, I mean, this is not just speculation. We do know that these models, if you ask them about Things that relate to state-sanctioned discourse. If you ask about Chinese history, the models are going to give you the Chinese history from the government's pe...”
    Play from 37:28

    ConceptInfrastructure

    Report this moment
  2. B
    “I like that the word kajillion has now become a unit of measure on the Last Week in AI podcast. We've given up now. The economy is unmoored. Yeah. There's a lot going on here. One piece is it is absolutely true that Meta— so every company has the SpaceX, I'll call it problem o...”
    Play from 39:41

    ConceptInfrastructure

    Report this moment
  3. B
    “By its institutional and cultural capacity to build infrastructure really, really fast. Meta has historically not been scale-pilled. It has historically not been the company that believes in superintelligence through scaling. It has historically not been the company that like ...”
    Play from 40:46

    ConceptInfrastructure

    Report this moment
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