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Air Street Press

Hosted by Nathan Benaich (Air Street Capital) · technology · EN

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About this Podcast:

As an AI-native investor, we believe it’s important to be a hands-on contributor to the community. Since our earliest days, we’ve been building in public - whether that’s sharing our perspectives on the direction of the field, emerging best practice for building AI-first companies, organizing meet-ups, and campaigning for policy change.Air Street Press brings together all of our content under one umbrella. Subscribe to listen to our analysis, portfolio news, Guide to AI monthly newsletter, annual State of AI Report, and our policy work.

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Public web form

Booking probability

29%

Guest openness

Selective

80/100
Required Score

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Questions about Air Street Press

What is Air Street Press about?

As an AI-native investor, we believe it’s important to be a hands-on contributor to the community. Since our earliest days, we’ve been building in public - whether that’s sharing our perspectives on the direction of the field, emerging best practice for building AI-first companies, organizing meet-ups, and campaigning for policy change.

Who hosts Air Street Press?

Air Street Press is hosted by Nathan Benaich (Air Street Capital). The show has published 145 episodes to date.

What has Air Street Press covered recently?

Recent episodes include "State of AI 2026: My conversation with Matt Turck" (30 October 2026, 6 minutes), "State of AI Report 2026: AI is building AI" (8 October 2026, 18 minutes), and "Our investment in Jack & Jill: a job market that works for you" (15 September 2026, 5 minutes).

How often does Air Street Press publish?

Air Street Press publishes roughly every two weeks, with episodes averaging 8 minutes across 145 episodes.

How hard is it to get booked on Air Street Press?

Booking probability for Air Street Press is 29%, and the host is rated Selective on guests. Air Street Press requires a Pod Score of 80 or higher. Air Street Press's contact route on record: public web form.

Who should pitch Air Street Press?

The strongest fits for Air Street Press are Investing & Wealth Management and Scientific Research & Development. Air Street Press has a technology audience.

About the host

Nathan Benaich (Air Street Capital) hosts Air Street Press, a technology podcast with 145 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • Oct 30, 20266 min

    AGI in 2027, scientific superintelligence, world models, and putting AI to work. In this audio edition of my Air Street Press essay, I reflect on my conversation with Matt Turck on the MAD Podcast. I share how agents...

  • Oct 8, 202618 min

    What changed in artificial intelligence in 2026, and what comes next? From AI agents helping build better AI to advances in robotics, the State of AI Report 2026 examines the breakthroughs, businesses, and risks shaping...

  • Aug 13, 202610 min

    Scientific papers preserve the happy path and lose the abandoned experiments and arguments that produced it. Starting with Alasdair Russell's genome editing group at the CRUK Cambridge Institute, Nathan Benaich examines...

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  • Jul 21, 20267 min

    Raia Hadsell, VP of Research at Google DeepMind, makes the case that intelligence is more than language: the same recipe that learns the patterns of text can learn the patterns of any complex system. She walks through...

  • Jul 16, 20267 min

    At RAAIS 2026, Nathan Benaich sits down with Hadrien Canter, co-founder and CEO of Alta Ares, the air-defense company building AI-guided interceptors to shoot down cheap drones and cruise missiles. They get into why...

  • Jul 14, 20268 min

    World models are the bet that AI should learn the world by watching it and acting in it, not just by reading about it. At RAAIS 2026, Odyssey co-founder and CTO Jeff Hawke makes the case: a world model is a neural...

  • Jul 9, 20267 min

    Ted Moskovitz leads the Science of Scaling team at Anthropic, the group that works out how to turn compute into smarter models. In this RAAIS 2026 fireside with Air Street Capital's Nathan Benaich, he argues that...

  • Jun 30, 20268 min

    Angelos Perivolaropoulos, a research engineer at ElevenLabs, on turning GPU scarcity into an inference-engineering problem: how to serve far more users on the same hardware, from batching to frontier architecture...

  • Jun 29, 202613 min

    The fifth State of AI Compute Index, in collaboration with Zeta Alpha. After a soft 2025, open AI research citations rebounded in 2026 - and NVIDIA still appears in ~91% of them. But the bigger story has moved off the...

  • Jun 26, 20265 min

    Air Street Capital backs Stark, the German multi-domain defense company, in its €500M led by Founders Fund and Sequoia. In this episode, we discuss why cheap, software-defined unmanned systems in the air and at sea are...

  • Jun 25, 20268 min

    Nikolay Donets, Head of Machine Learning Engineering at Revolut, on what it takes to run AI across more than 70 million customers, 200+ products, and 40+ countries - and why the hard part is no longer the model but the...

  • Jun 23, 20267 min

    Odyssey just raised a $310M Series B at a $1.45B valuation to build world models. We wrote the first check into the seed back in July 2024, so in this episode we walk through what the team has actually built, and why it...

  • Jun 22, 20264 min

    Macrodata just raised a $4M pre-seed, led by Air Street, to build the data layer for robotics. The team behind FineWeb - Guilherme Penedo and Hynek Kydlíček - is bringing the discipline that made open LLMs work to messy...

  • Jun 21, 20267 min

    Last week the US government ordered Anthropic to switch off its most capable model for every foreign national on earth - four days after it launched. Nathan Benaich (founder of Air Street Capital, co-author of the State...

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