Intelligent Governance: The AI-Driven New Paradigm of Governmental Adaptive Governance

Amidst the 21st-century transformative landscape, governmental operating environments have evolved into volatile, uncertain, complex, and ambiguous (VUCA) systems, rendering traditional bureaucratic models increasingly obsolete due to systemic inefficiencies and contextual misalignment. To address these multifaceted governance challenges, a paradigm shift toward adaptive networked governance has emerged, emphasizing the integration of artificial intelligence (AI) to enable agile, data-driven decision-making. This AI-powered adaptive governance framework leverages advanced data analytics to dynamically perceive environmental shifts, recalibrate strategies in real time, and enhance systemic resilience against complexity. Transcending the rigid hierarchies of conventional bureaucracy, this intelligent governance model reconfigures state-society-market relations through decentralized collaboration, fostering open, flexible, and responsive governance architectures. By institutionalizing flattened organizational structures, dynamic sensing mechanisms, and iterative policy experimentation, governments can elevate decision-making precision, cultivate cross-sectoral synergies, and nurture talent with systemic thinking and innovative capacities. This paradigm shift furnishes both theoretical foundations and practical pathways for constructing smarter, more adaptive governance systems, thereby advancing the modernization of national governance frameworks.