Breakthrough in PLA AI Drone Swarm Technology: The Strategic Intent Behind a Single Soldier Controlling 200 Drones

The recent public display of the "Atlas" drone swarm combat system by the People's Liberation Army (PLA) marks a significant technological breakthrough for China in the field of intelligent warfare. According to a report by China Central Television's military channel on March 25, this system has achieved the capability for a single operator to simultaneously control 96 drones, and in experimental environments, the scale of control has exceeded 200 units. This technological advancement not only showcases the rapid development of the PLA in the integration of artificial intelligence and unmanned systems but also suggests a fundamental transformation in future combat modes in the Taiwan Strait.

Xiang Xiaojia, a researcher at the School of Intelligent Science at the National University of Defense Technology, stated in an interview with CCTV that each drone is equipped with intelligent algorithms, allowing them to form a powerful collaborative swarm through interconnectivity and autonomous negotiation. Technically, the "Atlas" system consists of "Swarm-2" ground combat vehicles, command vehicles, and support vehicles. A single "Swarm-2" launcher can carry and launch 48 fixed-wing drones, while a single command vehicle can simultaneously control up to 96 drones in swarm combat. Each drone can carry various payloads, including electro-optical reconnaissance, strike munitions, and relay communications, which can be flexibly combined into different combat formations to execute complex tasks.

The core advantage of the system lies in its algorithm-driven autonomous combat capability. In a demonstration, three visually similar targets were set in the strike area, and the "Atlas" system quickly conducted coordinated reconnaissance, autonomously identifying the command vehicle among the targets, opening the launcher, and launching the drones. The drones rapidly locked onto the targets in the air and executed precise strikes. Throughout the process, the "Swarm-2" vehicles employed a three-second launch interval mechanism, releasing one drone every three seconds to ensure safe spacing and flight paths for each unit.

Importantly, the type and sequence of drone launches can be flexibly configured according to combat needs. Reconnaissance drones can be deployed first for intelligence collection, while electronic warfare drones can precede attack drones to suppress the opponent, thus providing customized responses for different combat scenarios. Supported by swarm intelligence, nearly 100 high-speed drones can form dense and precise formations in a short time and can autonomously adjust based on environmental factors such as airflow disturbances to avoid mid-air collisions.

From a tactical application perspective, this system can significantly expand battlefield application scenarios. First, in a saturation attack on enemy air defense systems, a large number of drones can be launched in multiple waves and from various directions, overwhelming interception capabilities and making it difficult for defenders to respond effectively. Chinese military expert Wang Yunfei pointed out that unlike traditional long-range munitions, whose accuracy may be affected by atmospheric conditions and electronic interference, drones can loiter over targets and conduct continuous surveillance, allowing for strikes at closer ranges with higher precision.

Secondly, in deep strike operations, drones with ranges of hundreds or even thousands of kilometers can penetrate at low altitudes and low speeds, with small radar cross-sections making early detection and interception more challenging, effectively striking targets deep within hostile territory, thereby blurring the boundaries between traditional frontline and deep areas. This capability is of significant importance for the PLA in breaking through the "first island chain" defenses in Taiwan Strait operations.

From a technological driving force perspective, these capabilities stem from China's advancements in artificial intelligence and large models. In complex battlefield environments, drones need to perform highly complex tasks such as target recognition, task allocation, and route planning—processes that are difficult or inefficient to achieve through manual control. Through AI-driven pre-training and embedded algorithms, drones can autonomously execute these functions and even dynamically adapt to changing battlefield conditions.

A commentary article published by the PLA Daily on March 25 cited examples from the armed forces of Ukraine, Russia, the United States, and Israel, pointing out that developing AI autonomous capabilities for unmanned systems is crucial for countering electronic warfare methods, which have proven effective against drones, particularly on the Ukrainian battlefield. The article emphasized that high-end air defense systems are either insufficient or too costly for intercepting drones. This indicates that the PLA is acutely aware that large-scale swarm attacks can overwhelm and weaken Taiwan's air defense network, making it difficult for Taiwan to intercept precision missiles, which China may leverage to create favorable conditions for amphibious landings.

An analysis report released by the Institute for the Study of War (ISW) on April 3 noted that China's emphasis on developing AI drone swarm technology is likely aimed at overwhelming Taiwan and the advanced air defense systems of the United States in the Indo-Pacific region during conflicts. The report suggests that China appears to be emphasizing AI swarm technology in its drone development to produce systems capable of saturating modern air defense systems in the event of a crisis in Taiwan.

Taiwan's President Lai Ching-te proposed the T-Dome air defense concept in October 2025 to address this need. Taiwan's "asymmetric warfare special budget" includes funding for T-Dome, but the opposition party in the Legislative Yuan has blocked it, instead proposing a budget that omits funding for integrated air and missile defense (IAMD) systems. China's emphasis on developing drone swarm technology designed to overwhelm complex air defense and missile defense systems highlights the urgency for Taiwan to develop its IAMD network. Without dedicated anti-drone systems as part of a multi-layered air defense network, the Taiwanese military may struggle to cope with emerging drone threats from China.

From a broader strategic perspective, the public display of the "Atlas" system also reflects the PLA's ability to learn from contemporary conflicts. The conflicts in Ukraine and the Middle East demonstrate that the ability to create battlefield transparency and ubiquitous precision strike threats through low-cost systems has reshaped modern warfare, with the widespread use of unmanned systems. The combination of long-range strike drones and precision missile strikes also requires an IAMD network capable of addressing such threats.

It is noteworthy that this technological breakthrough also poses challenges to the United States and its allies. While the U.S. Department of Defense is working to deploy AI drone swarms through its "Replicator" program by 2027, the program faces interoperability challenges. The large-scale coordinated capabilities recently demonstrated by China are on a scale that U.S. systems have not yet publicly replicated. This technological gap could have decisive implications in future conflicts in the Taiwan Strait.

Additionally, the PLA also publicly unveiled intelligent canine robots capable of swarm combat at the end of March. These "wolf pack" robots can be equipped with grenade launchers and machine guns for urban warfare, demonstrating that China has also made significant progress in ground unmanned systems. This air-ground integrated unmanned swarm combat capability will greatly enhance the PLA's joint operational effectiveness.

From the perspective of defense industrial development, the "Atlas" system was developed by the China Electronics Technology Group Corporation, which first showcased the "Swarm-2" ground combat vehicle at the 2024 Zhuhai Airshow. This indicates that China has established a relatively complete research and production capability for unmanned swarm combat systems, enabling rapid conversion of laboratory technologies into deployable combat equipment. This rapid transformation capability from research and development to equipment is an important achievement of China's defense technology industrial system reform.

Overall, the breakthrough progress of the PLA's AI drone swarm technology not only represents a leap in technological terms but also reflects profound trends in the evolution of warfare. The strategic intent of this system clearly targets the Taiwan Strait combat scenario, aiming to break through Taiwan and U.S. multi-layered defense systems in the Western Pacific through large-scale, low-cost, high-intelligence unmanned swarms. In the face of this emerging threat, Taiwan and the United States must accelerate the construction of a comprehensive and intelligent air defense and missile defense system, or they may face serious asymmetric disadvantages in future conflicts.