The first generation of smart-city language made technology conspicuous: command centers, sensor networks, dashboards, and citywide platforms. That framing helped cities experiment, but it also encouraged a catalog mentality in which the presence of devices stood in for institutional progress. A post-smart society would make the technology less theatrical and the public capability more visible.
In that model, a digital twin is valuable only when planners document which decision it changed. An adaptive signal earns legitimacy through safer, more reliable streets rather than the sophistication of its control logic. A data platform succeeds when departments can share well-described information under clear authority, not when it accumulates the largest number of feeds.
Post-smart does not mean post-technology. It means treating computation as ordinary civic infrastructure: maintained, audited, accessible, repairable, and subject to democratic limits. Procurement would fund data stewardship and staff training alongside software. Evaluation would include service quality, distributional effects, resilience, and the ability to exit a vendor relationship.
The transition is from novelty to competence. Cities should still test emerging tools, but pilots need expiration dates and evidence thresholds. The durable achievement is not a city that appears intelligent from a control room; it is a society that can decide where automation helps, where it does not, and who remains responsible either way.