The intensifying depletion of natural resources, fueled by world population growth and unsustainable consumption, poses severe threats to global sustainability. Specifically, the ICT and smart infrastructure industries make substantial contributions to resource inefficiencies through growing e-waste, inefficient material recovery, and unsustainable construction methods. Forecasts suggest that by 2050, with a projected 9.8 billion world population, resource use will surpass planetary limits, urging rapid interventions in resource management and the transition to circular economies. Despite growing recognition, inefficiencies in recycling infrastructure, defective waste-to-energy technologies, and inadequate water management persist to drive global resource insecurity and further environmental degradation. Solutions must be backed by evidence-based policy design, technological development, and systemic change. In this context, the combination of Artificial Intelligence and biomimicry offers a new way to increase sustainability and resilience in systems. AI-based models improve resource efficiency, reduce environmental footprint, optimize waste management, facilitate predictive maintenance, and enhance material recovery, while biomimicry offers nature-inspired solutions for sustainable design, energy efficiency, and waste reduction. These technologies not only foster resource recovery but also set the stage for the creation of wiser, more sustainable industries and cities. In conclusion, this study high-lights the revolutionary power of ICT that AI and biomimicry make possible to create closed-loop, self-sustaining models that boost urban resilience, sustainability, and efficiency, maximize recovery of resources, minimize waste, and maximize value for a truly circular future.