This week, the a16z Podcast explored the widening gap between AI's theoretical capabilities and its real-world constraints. From debates over whether open models can match proprietary systems to deep dives on AI's limitations in cryptography, healthcare, and infrastructure, the episodes reveal an industry grappling with the messy reality of deployment—where recursive self-improvement remains theoretical, autonomous agents raise new financial risks, and even code-writing AI struggles with system-level complexity.
Episodes This Week
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Other Weeks
This Week in a16z Podcast (Oct 19 - Oct 25, 2026)
7 episodes · Oct 19 – Oct 25
This Week in a16z Podcast (Oct 5 - Oct 11, 2026)
7 episodes · Oct 5 – Oct 11
This Week in a16z Podcast (Sep 28 - Oct 4, 2026)
7 episodes · Sep 28 – Oct 4
This Week in a16z Podcast (Sep 21 - Sep 27, 2026)
7 episodes · Sep 21 – Sep 27
This Week in a16z Podcast (Sep 14 - Sep 20, 2026)
7 episodes · Sep 14 – Sep 20
This Week in a16z Podcast (Sep 7 - Sep 13, 2026)
7 episodes · Sep 7 – Sep 13
This Week in a16z Podcast (Aug 31 - Sep 6, 2026)
7 episodes · Aug 31 – Sep 6
This Week in a16z Podcast (Aug 24 - Aug 30, 2026)
7 episodes · Aug 24 – Aug 30
This Week in a16z Podcast (Aug 17 - Aug 23, 2026)
6 episodes · Aug 17 – Aug 23
This Week in a16z Podcast (Aug 10 - Aug 16, 2026)
5 episodes · Aug 10 – Aug 16
This Week in a16z Podcast (Aug 3 - Aug 9, 2026)
4 episodes · Aug 3 – Aug 9