Top AI podcasts this week (2026-w39)

The most-watched AI and tech podcasts this week, measured on the substance of what they actually said.

Top AI podcasts this week (2026-w39)
Key Takeaways
  • 1
    The Diary Of A CEO: 10.4M views, density 33.

  • 2
    All-In Podcast: 3.2M views, density 57.

  • 3
    BG2 Pod: 1.5M views, density 40.

  • 4
    Acquired: 839.8K views, density 87.

  • 5
    Machine Learning Street Talk: 618.6K views, density 21.

We read the transcripts so you do not have to. Here are the most-watched AI and tech podcasts this week, measured on how much checkable substance they actually delivered.

This week's top shows

  1. The Diary Of A CEO: 10.4M views. density 33, specificity 67, attribution 60%. Listen
  2. All-In Podcast: 3.2M views. density 57, specificity 62, attribution 38%, track record 39% (7/18 calls). Listen
  3. BG2 Pod: 1.5M views. density 40, specificity 73, attribution 70%, track record 64% (7/11 calls). Listen
  4. Acquired: 839.8K views. density 87, specificity 70, attribution 35%. Listen
  5. Machine Learning Street Talk: 618.6K views. density 21, specificity 65, attribution 68%. Listen
  6. Doom Debates: 399.5K views. density 34, specificity 57, attribution 47%, track record 33% (1/3 calls). Listen
  7. Gradient Dissent: 178.2K views. density 65, specificity 66, attribution 42%. Listen
  8. Dwarkesh Podcast: 155.3K views. density 36, specificity 66, attribution 47%. Listen
  9. The AI Daily Brief: 151.0K views. density 42, specificity 71, attribution 81%, track record 67% (8/12 calls). Listen
  10. Y Combinator: 106.8K views. density 34, specificity 75, attribution 70%, track record 70% (4/5 calls). Listen

How we score: every show is graded from its episode transcripts on information density (named companies, people, figures, and mechanisms per minute), specificity (concrete, checkable claims versus vague punditry), source attribution (how often a claim credits where it came from), and a prediction track record we resolve against what actually happened. The full, continuously updated board lives at the podcast rankings.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.