AI In Telecom - AI Shrink-Ray Finds Its Telco Edge
RCRWireless News, Thursday, July 10th, 2025
The rise of smaller, cheaper AI models is pushing AI closer to the edge, but telcos must weigh placement and ROI carefully amid escalating infrastructure investments just to make AI networks capable.
Edge efficiency - smaller models and edge deployments reduce energy use and enable wider AI applications beyond basic support.
Cost calculus - telcos face hard questions about training costs, energy use, and the actual value of solving specific problems with AI.
Network dependency - the success and scalability of AI workloads hinge on underlying network infrastructure and capacity.