China’s leadership is signaling a renewed elevation of artificial intelligence within its national development agenda, framing the technology as both a growth driver and a systemic risk that requires coordinated oversight. In a high level study session with senior officials, Xi Jinping described
Alibaba Group Holding is preparing a structural separation of its wholly owned chip design unit T Head, signalling a renewed emphasis on internal semiconductor capability as part of its long term cloud and artificial intelligence strategy. The unit is expected to be reorganised
From regulatory obligation to systemic function Cybersecurity in China is undergoing a conceptual shift. What was once treated primarily as a compliance requirement is increasingly recognized as a foundational component of national infrastructure. As digital systems permeate finance, manufacturing, energy, transport, and public
From innovation speed to system reliability Artificial intelligence development in China has entered a phase where speed alone is no longer the primary objective. As AI systems are deployed at scale across finance, healthcare, transportation, and public administration, concerns around safety, reliability, and
Policy Signals a Strategic Shift China’s artificial intelligence policy is increasingly signaling a move away from abstract experimentation toward applied industrial intelligence. Rather than focusing on AI as a standalone frontier technology, policymakers are positioning it as a practical tool embedded within manufacturing,
China’s artificial intelligence strategy has become a cornerstone of its national industrial policy. The government’s focus on self-reliance in AI technologies aligns with its broader goal of reducing dependence on foreign innovation ecosystems. The State Council’s New Generation AI Development Plan serves as
China’s technology sector is entering a new phase where responsible development of artificial intelligence is becoming as critical as innovation itself. Leading universities, state regulators, and AI enterprises are now working together to draft ethics frameworks that ensure transparency, fairness, and accountability in
