The concept of 'digital twin' has evolved from a niche engineering tool into a cornerstone of modern infrastructure management. A digital twin is a virtual replica of a physical asset, system, or process, continuously updated with real-time data from sensors and IoT devices. This dynamic model allows engineers to simulate scenarios, predict failures, and optimize performance without disrupting actual operations. For instance, in urban planning, digital twins of entire cities enable authorities to test the impact of new traffic policies or flood defenses before implementation. However, critics point out that the reliance on vast data streams raises concerns about cybersecurity and data privacy, while the high cost of implementation can exacerbate inequalities between wealthy and developing regions. Despite these challenges, proponents argue that the potential for increased efficiency and resilience makes digital twins indispensable for future sustainable development.