The increasing complexity of telecommunication infrastructure, climate-induced environmental hazards, and geographically distributed network assets necessitates intelligent monitoring platforms capable of delivering real-time situational awareness and predictive decision support. Conventional telecom asset management systems often rely on centralised cloud processing and periodic inspections, resulting in delayed fault detection, limited environmental awareness, and inefficient maintenance planning. This study proposes a Qualcomm-powered Spatial Intelligence Platform that integrates edge artificial intelligence (AI), Global Navigation Satellite System (GNSS) positioning, Geographic Information Systems (GIS), remote sensing, Internet of Things (IoT) sensing, and Digital Twin technologies to enable autonomous telecom asset monitoring and climate risk forecasting. The proposed framework leverages Qualcomm's heterogeneous computing architecture, including neural processing units, graphics processing units, and energy-efficient edge processors, to perform low-latency geospatial analytics directly at distributed telecom sites. Spatial AI models continuously evaluate infrastructure condition, environmental variables, terrain characteristics, vegetation encroachment, flood susceptibility, wildfire exposure, and extreme weather patterns to predict infrastructure vulnerabilities before service disruption occurs. Furthermore, multi-source geospatial data fusion and machine learning-based climate forecasting enhance predictive maintenance, optimise field resource allocation, and strengthen network resilience under changing environmental conditions. The study also introduces quantitative optimisation and spatial intelligence models for autonomous infrastructure assessment, climate-aware decision-making, and resilient asset management. The proposed platform provides a scalable, energy-efficient, and intelligent framework for next-generation telecom infrastructure management, supporting sustainable network operations, proactive climate adaptation, and reliable digital connectivity.