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SPACEX AND ΧΑΙ ENTER PENTAGON RACE TO BUILD VOICE-CONTROLLED AUTONOMOUS DRONE SWARMS

AppleMagazine

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February 20, 2026

SpaceX and xAl have joined a high-profile Pentagon technology competition focused on next-generation autonomous drone systems, marking one of the most ambitious efforts yet to accelerate artificial intelligence deployment in defense operations.

SPACEX AND ΧΑΙ ENTER PENTAGON RACE TO BUILD VOICE-CONTROLLED AUTONOMOUS DRONE SWARMS

The six-month challenge, valued at roughly $100 million, aims to produce operational prototypes of voice-controlled drone swarms capable of performing coordinated missions with minimal human input. The initiative is part of the Department of Defense's broader Al Acceleration Strategy, which seeks to shorten development cycles and bring advanced private-sector technology into military programs faster than traditional procurement processes allow.

The contest is being organized through the Defense Innovation Unit and the Defense Autonomous Warfare Group, agencies tasked with integrating commercial technology into military systems. Officials designed the program to attract major technology companies alongside startups, encouraging rapid experimentation in autonomous navigation, swarm coordination, and real-time command interfaces. By structuring the challenge as a competitive prize model rather than a conventional contract, the Pentagon aims to lower barriers for participation while incentivizing faster engineering milestones and field testing.

imageMULTI-PHASE PROGRAM TARGETS RAPID DEPLOYMENT CAPABILITIES

The competition is structured in five phases that progress from software simulation to live operational trials. Early stages focus on developing command-and-control software capable of interpreting natural-language voice instructions and translating them into coordinated swarm behaviors. Later phases involve integration with real drone hardware, field demonstrations, and mission simulations designed to test reliability, security, and operational performance under battlefield-like conditions.

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