PLA Establishes New AI and Drone Departments in 2026, Military Academy Reform Aims at Intelligent Warfare

On October 2, the South China Morning Post reported that the PLA is adjusting its military academy system by adding departments or specialized directions related to artificial intelligence, drones, and discipline construction. The focus of this news is not on "adding a few courses," but on the PLA beginning to treat the talent needed for intelligent warfare as equally important as combat power elements like ships and aircraft.

From Using Equipment to Designing Systems

In the past, discussions about PLA drones typically centered on the performance of platforms like the Wing Loong, Rainbow, or large reconnaissance systems. However, the Russia-Ukraine battlefield has proven that the operational value of drones is determined not only by individual flight range and payload but also by operator training, data link maintenance, target identification, electronic countermeasures, and rapid replenishment after combat losses. Once drones enter the stages of clustering and manned-unmanned collaboration, the traditional "one specialty corresponds to one piece of equipment" structure of military academies will appear too slow.

The value of an artificial intelligence department should not be simply understood as training officers who can write code. The real challenge lies in embedding algorithms into reconnaissance, command, and firepower chains while handling misidentifications, communication interruptions, and enemy interference. The PLA has previously been advancing research on intelligent combat, but the reform of military academies suggests that this work may transition from pilot projects to a stable talent supply chain.

Why Discipline Construction is Listed Alongside AI and Drones

Listing AI, drones, and discipline construction together may seem insufficiently "technical" at first glance, but it actually aligns well with the current practical needs of the PLA. Drone swarms and automated decision-making can amplify operational errors at the grassroots level; data poisoning, unauthorized use, leaks, and blind trust in algorithms can turn an advanced system into a new vulnerability. The targets of discipline education are not just traditional obedience to orders but also include data security, permission management, and the boundaries of human responsibility in automated kill chains.

The author believes this reveals an easily overlooked judgment: Beijing does not equate acquiring or manufacturing advanced drones with obtaining unmanned combat capabilities. The real bottleneck may lie in whether engineers, pilots, intelligence officers, and commanders can be integrated into the same training system. In simple terms, it is a shift from "equipment digitization" to "organization digitization."

What Combat Preparedness in the Taiwan Strait Means

The South China Morning Post has also recently focused on the PLA's WZ-7 high-altitude long-endurance drone, satellite coordination standards, and preparations for a blockade in the Taiwan Strait. When viewed together, the direction of the academy reform becomes clearer: drones are not standalone aerial platforms but nodes connecting satellites, maritime and aerial reconnaissance, electronic warfare, and long-range firepower.

In the Taiwan Strait scenario, the PLA needs to continuously obtain situational information about the strait and surrounding air and sea areas, and it also needs to maintain target updates under communication pressure. AI can shorten the time from target discovery to task assignment, while drones can provide reconnaissance coverage at relatively low losses. However, this system's requirements for software updates, data link anti-jamming, and spare parts supply are far greater than merely showcasing a prototype. Whether China's military industry can simultaneously convert its manufacturing capacity advantage in drones into stable software, chips, and battlefield maintenance capabilities remains an open question.

The Real Test is the Training Results

The names of departments and organizational adjustments alone cannot prove that the PLA has solved the problem of intelligent warfare. The next indicators to observe should be: whether relevant graduates enter frontline units rather than remaining in academies for long periods; whether drone swarms and manned-unmanned collaboration appear in more complex live exercises; and whether the military openly acknowledges "negative subjects" such as algorithm failures and communication disruptions. If only the number of specialties is increased without new assessment and logistics systems, the reform may simply be a more modern label.

This adjustment resembles a capability catch-up rather than a technological leap. The PLA has already been able to rapidly manufacture platforms; the next challenge is whether it can continuously cultivate a team that understands algorithms, combat, and constraints. In the future, what will ultimately determine drone battlefield performance: the next type of aircraft or a system of talent and organization that can operate normally in a highly jammed environment?

References

• South China Morning Post, China sets up new military academy colleges for AI, drones and discipline, October 2, 2026
• South China Morning Post, China deploys advanced WZ-7 drone for first time near Scarborough Shoal, September 28, 2026
• South China Morning Post, Can China’s new satellite coordination standards boost PLA targeting and resilience, September 29, 2026