In 2023, General Cherry started making 10 drones a month. Today they're approaching 100,000. Marko Kushnir, communications director of one of Ukraine's top-five drone manufacturers, joins Craig Smith for one of the most operationally specific conversations available about what drone warfare looks like at industrial scale, from the daily feedback loops with front-line units that drive product iteration, to the $2,000 interceptor drone that can destroy a $100,000 Shahed, to the on-device AI targeting model that guides an interceptor to impact at 70% accuracy after the operator activates it and steps back.

The conversation's most important insights are structural rather than technical. Marko describes the fundamental asymmetry of the conflict with unusual precision: Ukraine's decentralized, startup-driven ecosystem produces new technologies faster than Russia's command economy, but Russia's vertical industrial structure copies and scales those technologies faster than Ukraine can stay ahead. He also expresses genuine alarm about fully autonomous AI drones, not from an ethical standpoint but from a practical one: any autonomous capability Ukraine deploys will be in Russian hands within weeks, making full autonomy a danger Ukraine would share immediately with its enemy.

The episode closes with his most far-reaching argument: just as the internet era created a cybersecurity industry that every organization eventually had to build, the drone era is now beginning, and every government, police force, and major corporation will soon need a drone security department to function safely in a world where drones are as common as smartphones.

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A Ukrainian entrepreneur who spent 14 years building cameras for pets pivoted to building cameras that down Shaheds, and is now building the autonomy software that could define how wars are fought for the next generation. Yaroslav Azhnyuk, co-founder of Fourth Law, joins Craig Smith in Kyiv to explain why Ukraine has become what he calls the Defense Valley or the Florence of Defense: a dense, fast-moving ecosystem of founders, engineers, and military operators who are building, testing, and iterating on autonomous drone systems in real combat conditions, with a feedback loop that no defense contractor in the West can currently match.

The conversation covers Azhnyuk's five-level autonomy framework for drones, the eight-dimensional model for what a fully autonomous battlefield ecosystem requires, and the economic math that he believes makes global rearmament inevitable: a $500 drone that can already destroy a $5 million tank becomes roughly 10,000 times more capable when full autonomy is added for a few hundred dollars more. The competitive landscape is mapped with unusual candor, an "Apple vs. Android" comparison between Eric Schmidt's vertically integrated interceptors and Fourth Law's modular platform approach, alongside two arguments that cut against the mainstream narrative. First, that within 5 to 10 years it may become unethical to use weapons without AI, because non-AI weapons cause more collateral damage, not less. And second, that the real AGI risk isn't Skynet, it's the subtle transfer of power that happens when 100 smarter advisors gradually stop waiting for the President to decide, and nobody notices until the President is no longer the one making decisions.

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The most consequential arms race in the world right now isn't nuclear, it's software. Craig Smith speaks with Alexander Palamarchuk, an engineer in the R&D department of Ukraine's Azov Brigade, calling in from approximately 18 kilometers from the front line in the Pokrovsk region. What emerges is one of the most technically candid accounts available of what drone warfare actually looks like from the inside: how Ukraine went from homemade reconnaissance drones in 2014 to AI-guided systems being developed and tested in real combat today, how the jamming arms race has forced his unit to develop custom frequency systems spanning 100 to 3,000 megahertz in a constant search for clean windows Russia hasn't yet closed, and why the tank - once the defining weapon of land warfare - has been reduced on the modern battlefield to a mobile jamming platform.

The most important distinction Alexander draws is one that rarely surfaces in mainstream coverage: AI already exists that can recognize and classify vehicles and people with high accuracy. The unsolved problem isn't recognition, it's discrimination, determining with certainty whether a recognized target is military or civilian. That gap is the only thing standing between today's AI-assisted drones and fully autonomous lethal systems, and Alexander puts the timeline for closing it at approximately two years. The US maintains an official policy of not developing fully autonomous lethal weapons for ethical reasons. On the battlefield 18 kilometers from where Alexander is speaking, that policy is being outpaced in real time, and he is clear that NATO's software advantage positions Western countries to win that race before anyone else gets there.

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