What happened

Wen Jun discusses how artificial intelligence can compress governance time in megacities by enhancing sensing, digital twins, and proactive risk mitigation, pushing decision-making closer to real-time and enabling more rehearsed, virtual testing of plans.

Why it matters

Repacking time alters the pace and order of city governance, but it must be balanced with equity and human judgment rather than treated as a universal speed-up.

Wen Jun argues that artificial intelligence is not just a tool but a way to reorganize the tempo of megacity governance. By enabling faster perception and virtual trial through digital twins, AI helps authorities anticipate and respond more quickly, yet the core of governance still rests on human choices about when to act and what goals to prioritize.

The article emphasizes a staged shift: from accelerating reporting and response to shaping when and how to intervene, including preemptive actions in risk-prone systems like water, transport, and infrastructure. It warns that simulations cannot replace every real-world variable and that the best outcomes come from aligning machine time with human time and public values.

FOR PEOPLE

Benefits

AI can help decision-makers move faster, but people must guide pace and values.

FOR AI TOOLS AND COMPANIES

Benefits

AI amplifies sensing, simulation, and preemptive action in city governance.

Original sources · 1
  1. Wen Jun: How artificial intelligence can transform the time logic of urban governance in megacities ↗ecnu.edu.cn · 2026-09-16

Reporting discovered in China. Discovery market does not mean the event happened there.

What this does not tell us

The argument rests on theoretical and situational observations rather than uniform empirical findings across all megacities; outcomes depend on data quality, model coverage, governance culture, and explicit validation of ethical and fairness considerations.