China’s AI-driven intelligence support to Iran is turning the war into a deniable, data-driven proxy conflict in which battlefield advantage increasingly depends on information rather than force.
The Washington Post reported over the weekend that Chinese private technology firms are marketing AI-driven intelligence tools that claim to track and “expose” US military movements in the context of the Iran conflict, underscoring a growing security concern despite China’s efforts to distance itself from the war.
Companies such as Hangzhou-based MizarVision and Jing’an Technology are using artificial intelligence to analyze open-source data, including satellite imagery, flight tracking and shipping information, to map US deployments in the Middle East, including pre-operational buildup.
While these firms are not formally part of China’s military, some hold certifications linked to the People’s Liberation Army (PLA) and are part of China’s broader civil-military integration strategy, which has funneled funding into AI-enabled defense applications.
US officials remain divided over the credibility of the firms’ claims, particularly those related to sensitive capabilities such as intercepting stealth communications, but warn that their rapid proliferation reflects a broader effort to expand China’s intelligence reach and complicate efforts to conceal US operations.
Illustrating these capabilities, a Kharon brief from March 2026 notes that Jing’an Technology claimed to track US B-2A Spirit stealth bombers during US strikes on Iranian targets, highlighting how such firms use AI-driven open-source intelligence (OSINT) that blends data aggregation with inference rather than true penetration of classified systems.
According to the brief, Jing’an Technology said its “Jingqi” platform tracked four B-2 aircraft, “reconstructed” flight paths, and “intercepted” communications, but these claims may be overstated, as the audio likely came from publicly available aviation channels and the routing estimates were based on past operational patterns.
Even if overstated, these claims highlight a critical shift: China is not penetrating classified systems but extracting actionable intelligence from open-source data—lowering the barrier to entry for state-level targeting.
Illustrating this dynamic, Tahir Azad notes in a March 2026 Small Wars Journal (SWJ) article that China’s technology-enabled intelligence support, integrated with satellite intelligence, surveillance, and reconnaissance (ISR), navigation systems, radar, and electronic warfare capabilities, can enhance Iran’s targeting accuracy and operational effectiveness against the US.
Azad argues that Chinese satellite surveillance and integrated intelligence networks can enable Iran to identify and strike high-value targets despite weaker indigenous capabilities, contributing to a modern “kill chain” in which Chinese ISR supports Iranian missile and drone operations.
Taken together, these developments suggest China’s role extends beyond passive observation, forming a functional intelligence layer that links data collection to Iranian strike capability.
This model operates in the gray zone between peace and war, where states combine commercial tools, private actors, and open-source data to generate usable intelligence without clear attribution. In practice, Chinese firms publish AI-processed insights, Russia passes targeting data, and Iran acts on it—creating a distributed, deniable intelligence network that exploits legal ambiguity while managing escalation.
This emerging intelligence model also carries escalation risks, as deniable support can gradually blur into direct involvement. Juan Quiroz argues in a 2025 Military Review article that proxy wars are becoming more escalatory and increasingly resembling conventional warfare, as great powers, in some cases, forgo deniability and deepen their direct involvement to pursue strategic objectives.
He notes that proxy wars persist because they allow states to avoid the costs of direct conflict—particularly under nuclear constraints—but that when vital interests are perceived to be at stake, sponsors may escalate their involvement.
While nuclear deterrence continues to restrain direct clashes between major powers, he suggests that the dynamics of modern proxy wars increase the risk of escalation into direct interstate conflict.
This dynamic is not isolated. Max Boot argues in a March 2026 Council on Foreign Relations (CFR) article that the war has become a secondary front of the Russia-Ukraine conflict, with Russia reportedly providing Iran with satellite imagery and drones, which may have supported Iranian targeting of US-linked facilities.
In turn, Boot says Russia benefits strategically by diverting US resources, raising oil revenues to fund its Ukraine War, and building on prior military exchanges, allowing Russia to benefit indirectly without direct confrontation.
Beyond immediate battlefield effects, this model also serves long-term strategic purposes. Nadia Helmy notes in a March 2026 article for Modern Diplomacy that the war serves as a real-world testing ground for China, allowing it to collect battlefield data on US and Israeli systems and refine its capabilities for future conflict.
Helmy explains that China uses the battlefield to study the performance of Western weapons systems, radar signatures, and operational networks, enabling analysis, reverse engineering, and AI integration into its own systems.
She argues that Iran functions as an indirect proxy, allowing China to study, counter, and prepare for US military power without direct confrontation, particularly in anticipation of future conflicts in Taiwan and the South China Sea.
This layered proxy structure extends beyond US-Iran dynamics into the broader regional battlefield. While Iran arguably serves as a proxy for China and Russia against the US, it also notably uses proxies mainly against Israel, its premier regional adversary.
As noted by Assaf Orion and other authors in a March 2026 The Washington Institute (TWI) for Near East Policy article, the war features Iran using regional proxies such as Hezbollah, Iraqi militias, and the Houthis to open multiple fronts and dilute Israeli military focus.
According to the authors, Iran—particularly through the Islamic Revolutionary Guard Corps’ (IRGC) Quds Force in the case of Hezbollah—has helped drive the opening of additional fronts, with these groups conducting attacks across Lebanon, Iraq and potentially Yemen. They note multi-front pressure can strain Israel’s air power, interceptor stockpiles, logistics, and endurance, while helping divert military pressure away from Iran.
The Iran war points to a new model of conflict in which AI-driven data fusion and deniable intelligence networks allow smaller actors to punch above their weight while major powers quietly prepare for future high-intensity war.
For China, this is not just about sustaining Iran’s battlefield viability, but about refining a scalable model of proxy warfare in which data—not direct force—becomes the decisive instrument. As these capabilities develop further, upcoming conflicts might be influenced more by who perceives, analyzes, and reacts to information quickest than by who fires first.
