THE LONG VIEW

Bottom Line Up Front: China’s central AI policies exhibit high structural consistency and increasing density, posing a strategic threat to Western AI governance models by enabling faster standardization, state-aligned innovation, and global influence through regulatory export. Threat Identification: The rapid, coordinated issuance of AI policies by China’s central government demonstrates a highly institutionalized governance approach. Using the PMC index, the study identifies persistent strengths in policy design across strategic planning, sectoral integration, and implementation clarity—indicating a maturing, data-driven regulatory system optimized for execution [Fig 3, Table 7]. This contrasts with fragmented, reactive AI regulation in liberal democracies. Probability Assessment: High likelihood (85%) that China will solidify its AI governance framework as a de facto global benchmark by 2030, particularly in Global South nations seeking ready-made regulatory templates. The annual growth in policy volume (peaking in 2023–2025) and emphasis on 'security' and 'autonomy' suggest a trajectory of tightening state control concurrent with technological expansion [Fig 3, Fig 4]. Impact Analysis: The consequences include erosion of pluralistic AI ethics norms, displacement of EU- or US-led regulatory paradigms, and competitive disadvantage for open-innovation ecosystems. Policies P1–P5 show strong scores in 'government supervision' and 'risk regulation' but weaker performance in public participation and cross-border interoperability—raising concerns about transparency and human rights alignment [Table 8, Fig 12]. Over time, this could enable China to shape international AI standards via BRI-linked technology transfers and digital infrastructure projects. Recommended Actions: 1) Launch a comparative PMC-indexed audit of G7 AI policies to identify structural gaps; 2) Fund rapid-response policy labs to accelerate democratic AI governance cycles; 3) Develop interoperability coalitions with allied nations to counter normative capture; 4) Integrate PMC-style evaluation into national AI strategy reviews to improve policy coherence. Confidence Matrix: - Structural consistency in Chinese AI policy: High confidence (based on PMC scores >0.70 for all five policies [Table 7]) - Competitive threat to Western models: Medium-high confidence (inferred from policy volume, design maturity, and geopolitical trends) - Global standard-setting potential: Medium confidence (dependent on adoption by non-aligned states) - Ethical transparency deficits: High confidence (evident in low scores on public engagement indicators [Fig 12]) Citations: Figures and tables referenced per PLOS study: [Fig 3], [Fig 4], [Table 7], [Table 8], [Fig 12] — Structural consistency in AI governance: A PMC index assessment with evidence from China’s central-level policies, PLOS, 2026.