The increasing complexity of contemporary built environments has exposed the limitations of static structural design methodologies that rely heavily on predetermined operational assumptions and fixed engineering responses. Buildings today are expected to perform under rapidly changing environmental conditions, fluctuating occupancy demands, evolving energy constraints, and growing resilience requirements associated with climate instability and urban densification. Under these conditions, architecture and structural engineering are progressively moving toward adaptive models capable of sensing, regulating, and optimizing performance dynamically throughout the lifecycle of the built environment. This study explores the concept of adaptive structural ecosystems as a new engineering- oriented architectural paradigm integrating responsive structural systems, computational sensing networks, predictive engineering analytics, intelligent materials, and self-regulating infrastructural coordination into cohesive adaptive environments. The article argues that future structural systems will increasingly function less as passive load-bearing frameworks and more as responsive engineering ecosystems capable of continuous operational adaptation. Particular attention is given to structural sensing infrastructure, kinetic and responsive structural systems, AI-assisted engineering optimization, adaptive load redistribution, smart material integration, environmental feedback coordination, resilience engineering, and computational lifecycle management. The study further examines how adaptive structural ecosystems may improve structural efficiency, environmental responsiveness, disaster resilience, operational sustainability, and long-term infrastructural intelligence. Ultimately, the article positions self-regulating engineering models not merely as technological enhancements to conventional architecture, but as foundational mechanisms driving the next generation of adaptive, resilient, and computationally intelligent built environments.