China is actively courting developing nations to adopt its artificial intelligence framework even as the country faces international scrutiny for its actions in the South China Sea, according to Semafor. Beijing’s outreach at the recent World AI Conference in Shanghai mirrors a broader geopolitical strategy, despite sustained legal and physical conflicts regarding territorial sovereignty in the region.

Lawyer Paul Reichler, who previously represented the Philippines in a successful challenge against China’s territorial claims at The Hague, noted that the international system currently faces significant instability. The 2016 ruling by a panel of jurists unanimously rejected China’s expansive maritime claims, yet the Chinese government dismissed the decision as invalid. Tensions have remained high in the waterway, evidenced by a recent incident where a Chinese coast guard vessel utilized water cannons against Philippine supply boats, accompanied by physical confrontations involving sailors at disputed reefs.

Furthermore, the China Daily recently released an AI-generated video targeting the Philippines, which was formally condemned by Manila as dehumanizing and racist. These actions occur simultaneously with Beijing’s push to export its open-source AI models to emerging economies, presenting these technologies as "public goods" despite concerns over the nation's adherence to international norms.

| Domain | Nature of Conflict | Status | | :--- | :--- | :--- | | South China Sea | Territorial/Maritime Rights | Disputed | | UN Convention on the Law of the Sea | Legal Framework | Challenged | | AI Governance | Digital Infrastructure | Ongoing Competition |

## Why It Matters The dual pursuit of maritime dominance and digital governance reveals a shift in global power dynamics. By framing its AI infrastructure as an essential utility for developing states, Beijing attempts to build a technological sphere of influence. This strategy effectively bypasses traditional Western-led security frameworks. If successful, the proliferation of Chinese-coded AI models could create long-term technical dependencies for emerging economies, complicating international efforts to establish universal safety and ethical standards for machine learning applications across global digital markets.