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From smart to AI-powered: AI Cities build on smart city foundations by using AI to learn, predict, and act in real time
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From data to action: AI continuously analyzes data to predict conditions and automate responses with less manual intervention
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Connecting urban services: AI Cities coordinate services across mobility, energy, and safety to deliver more integrated outcomes
As cities digitize, two terms get thrown around a lot — Smart City and AI City. They sound similar, but they aren’t the same. A Smart City uses connected technologies (sensors, IoT, digital platforms) to make urban services more efficient and transparent. An AI City is the next step in the evolution of a smart city – embedding artificial intelligence directly into the city’s operating system so that core functions can learn, predict, and act — often in real time. You can think of AI City as Smart City 4.0.
Put simply, transitioning to an AI City empowers cities to create an urban ecosystem where their citizens can genuinely feel greater convenience, safety, and trust in their daily lives
The 5 Biggest Differences
|
Dimension |
Smart City |
AI City |
|
Operating Model |
Relies on connected infrastructure and digitalized services. |
Learning systems embedded in operations; city behaves like an adaptive system. |
|
Decision Loop |
Human-in-the-loop: Decisions are made by humans using data presented in dashboards. |
AI-in-the-loop: Decisions are generated and executed automatically by AI systems based on continuous data analysis and prediction. |
|
Time Horizon |
Its focus lies in describing current situations and understanding their causes. |
It forecasts future conditions and recommends the most effective response. |
|
Coordination Scope |
Optimizes individual services, such as waste collection or parking. |
Orchestrates multiple domains — such as mobility, energy, and safety — to deliver integrated outcomes. |
|
Governance & Trust |
It emphasizes transparent data practices, clearly defined service standards, and digital channels that strengthen citizen engagement and trust. |
It requires transparent AI models, rigorous testing for bias, clear lines of accountability, and explicit consent for how data and algorithms are used. |
To sum up:
Smart City: Connected & data‑driven. Systems collect and visualize data to help people decide.
AI City: Learning & decision‑driven. Systems continuously learn from data and take actions with minimal human intervention.
Click here for the AI City 2026 Media Kit
To learn more about AI Cities, please visit: AI City: The Next Stage in the Evolution of Smart Cities
About ASUS
ASUS (2357.TW) is an innovative technology leader delivering the world’s most comprehensive AI solutions across Infrastructure, Physical AI, AI PC/Devices, and Engineering the AI Advantage. Guided by its “Ubiquitous AI. Incredible Possibilities” strategy, ASUS is bringing enterprise-to-edge AI to life. The ASUS portfolio also includes the ROG and ProArt sub-brands, which serve gamers and creators worldwide.
