The Future of Warfare | EYES ON GEOPOLITICS

The Team House1h 9mApril 16, 2026

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AI-Generated Summary

This episode of Eyes on Geopolitics dives deep into the rapidly evolving future of warfare, focusing on the growing threat of drone warfare and the urgent need for defensive innovation. Former special operations personnel John Hackett, Eric Ulrich, and Scott Canino—joined by the Lobo Institute team—discuss the alarming pace at which adversarial drones, like Iran’s Shaheed models, are outpacing U.S. countermeasures. They highlight the technological and bureaucratic hurdles slowing the Department of Defense’s response, from the high cost and limited availability of systems like Patriot missiles to the slow acquisition processes that hinder rapid deployment. The conversation shifts to AI’s role in warfare, with stark examples from Eastern Libya and Ukraine showing autonomous targeting in action, raising ethical questions about human-in-the-loop systems. The guests argue for a balanced approach: leveraging AI to augment human decision-making, especially in high-speed, high-volume scenarios like decoy identification, while preserving human oversight in lethal decisions. They also explore the broader implications of technological innovation, including the use of drones for communication mesh networks, resupply, and even pilot recovery. A recurring theme is the need to bypass bureaucratic inertia by embedding innovators directly in conflict zones and empowering agile special operations units. The episode concludes with a sobering critique of U.S. political polarization and its impact on defense funding through continuing resolutions, which have crippled long-term programs like mine countermeasure vessels. Despite these challenges, the guests express cautious optimism, emphasizing that the U.S. still leads in innovation culture and that solutions are emerging from both military veterans and private-sector tech entrepreneurs. Key takeaways include: (1) The U.S. is lagging in drone defense due to slow acquisition and outdated systems; (2) AI should augment, not replace, human judgment in warfare, especially in lethal decisions; (3) The future of combat lies in layered, networked drone systems that enable, rather than replace, human operators; (4) Bureaucratic and political gridlock—particularly around defense funding—threatens national security; and (5) Innovation must be decentralized and accelerated by embedding experts in real-world conflict zones. The episode ends on a hopeful note, underscoring that the U.S. still has the culture, talent, and technological edge to lead—if it can overcome internal inertia.

Key Takeaways
1

The U.S. is falling behind in drone defense due to slow acquisition and outdated systems like Patriot missiles.

2

AI should augment human decision-making in warfare, especially in high-speed scenarios like decoy identification.

3

The future of combat involves networked drone systems that enable human operators, not replace them.

4

Bureaucratic and political gridlock—especially through continuing resolutions—undermines long-term defense capabilities.

5

Innovation must be accelerated by embedding experts directly in conflict zones and empowering agile special operations units.

Chapters
0:00
10 min

The Drone Threat: From Shotgun to Shaheed Drones

The technology has evolved faster on the offensive side than it has on the defensive side. That's as simple as it gets.

Highlight
10:00
10 min

Counter-Drone Strategies: EW, Kinetic, and Directed Energy

The panel breaks down the three main counter-drone methods: electronic warfare (jamming control signals), kinetic destruction (using nets, missiles, or eagles), and directed energy (like lasers). They emphasize the logistical and power challenges of deploying lasers at scale, especially in forward operating positions.

20:00
10 min

Innovation in the Field: Learning from Ukraine

I would either take a handful of special operators and put them in the Ukrainian bunker for two to three weeks, or I'd take the smartest people in Ukraine that can come off the front lines and bring them right back to Stockholm headquarters.

Highlight
30:00
10 min

The Ethics of AI in Warfare: Human-in-the-Loop vs. Autonomous Targeting

I don't believe that you're going to lose a competitive advantage with a two-second delay or a 10-second delay even. I carried out hundreds of strikes. I do not see that as an impediment.

Highlight
40:00
10 min

The Future of Combat: Drones as Force Multipliers

The conversation shifts to how drones are transforming tactics—enabling mass assaults from all directions using motorbikes, acting as communication hubs, and even serving as remote JTACs. The guests emphasize that drones are not replacements for humans but tools that free them from dangerous tasks.

High-Impact Quotes
I would either take a handful of special operators and put them in the Ukrainian bunker for two to three weeks, or I'd take the smartest people in Ukraine that can come off the front lines and bring them right back to Stockholm headquarters.
John Hackett9:57
Viral: 90.0
The technology has evolved faster on the offensive side than it has on the defensive side. That's as simple as it gets.
Eric Ulrich7:11
Viral: 85.0
I don't believe that you're going to lose a competitive advantage with a two-second delay or a 10-second delay even. I carried out hundreds of strikes. I do not see that as an impediment.
Eric Ulrich35:32
Viral: 80.0
Speakers

Host

D

Guests

John HackettEric UlrichScott Canino
Topics Discussed
drone warfare95%ai in military applications90%defense innovation and acquisition88%counter-drone technology85%unmanned systems in combat85%political polarization and defense funding82%special operations tactics80%ethical use of autonomous weapons80%
People & Brands

Ukraine

place

18xPositive

AI

other

18xNeutral

Shopify

organization

15xPositive

Eric Ulrich

person

15xPositive

Scott Canino

person

14xPositive

Wanta

organization

12xPositive

Iran

place

12xNegative

John Hackett

person

12xPositive

Charissa

person

10xPositive

Lobo Institute

organization

10xPositive

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