China's Military Purges Collide With AI Command Ambitions
As Xi Jinping removes experienced commanders, the PLA insists only humans can bear responsibility for warfare—even as it races to adopt AI decision systems.
China's People's Liberation Army faces a stark contradiction: Its official doctrine insists that artificial intelligence cannot replace human commanders, even as the military's most experienced leaders disappear from its ranks.
On January 24, 2026, China announced that Zhang Youxia and Liu Zhenli—the last two Central Military Commission members with substantial operational experience—were under investigation. Their removal means five of six members Xi Jinping appointed in 2022 are now gone. Only Xi himself and Zhang Shengmin, a career discipline officer who has never commanded troops, remain. The chief of the Joint Staff Department, responsible for operational planning, sits vacant for the first time since the Cultural Revolution.
The doctrine versus reality gap
Analysis of more than 145,000 articles from the PLA Daily, the military's official newspaper, reveals a consistent institutional position: AI may process sensor data and generate options, but final command authority must rest with human officers who can bear responsibility for wartime decisions. Articles explicitly asserting this principle increased from 45 in 2018 to 153 in 2025—a more than threefold rise even as AI-related coverage expanded dramatically.
The newspaper frames this stance in operational rather than political terms. Commanders are described as indispensable not because they embody party authority, but because responsibility for war cannot be delegated to systems incapable of accountability. One 2025 article states plainly that AI cannot resolve the allocation of command authority because only human commanders can bear the risk and responsibility of conflict.
Yet the leadership removing these commanders is simultaneously investing heavily in AI decision-support systems across targeting, cyber operations, and command functions. Recent analysis of Chinese military procurement documents shows prototyping at a scale that suggests AI may be intended to compensate for what some researchers describe as a "weak and inexperienced" officer corps.
The information corruption problem
This substitution strategy faces a fundamental obstacle. AI systems that support command decisions depend on accurate data from human reporting chains. When an organization is shaped by purges and political fear, those chains produce what leaders want to hear rather than ground truth. Inflated readiness reports, scripted exercises, and performative compliance flow into the same AI systems meant to overcome human judgment failures.
The problem extends beyond the commission itself. Barely one-fifth of the PLA's key leadership positions are permanently filled, with nearly half occupied by interim appointees. Only two of five theater commands are led by full generals. Xi could reverse this through normal party procedures but has not, suggesting either that he views the damage as acceptable or considers the commission increasingly ceremonial as authority flows through him directly.
Why it matters
The gap between China's military doctrine and its leadership reality creates strategic uncertainty for both Beijing and Washington. If experienced commanders remain as irreplaceable as PLA doctrine claims, then their systematic removal represents a profound degradation of military capability that no amount of AI investment can quickly remedy. If AI can genuinely substitute for human command judgment, then China's military is pursuing a model of algorithmic warfare that its own institutional voice has spent years arguing against. Either way, the collision between purges and AI ambitions suggests structural tensions in Chinese military modernization that extend well beyond technology adoption.
These details were first reported by Jaehwan Lim in War on the Rocks, drawing on systematic analysis of PLA Daily coverage and recent developments in China's military leadership.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
Want systems like this working for your business?
Book a Call