Networks Under Strain: Infrastructure Realities in the AI Era

Session details:

• How AI-driven applications (autonomy, manufacturing, remote diagnostics) change traffic patterns and network expectations
• Why legacy architectures struggle with uplink-intensive demand — and what operators are doing now
• Where investment priorities and engineering models must shift to balance capacity and cost
• How fiber, wireless, and hybrid layers must coordinate under new usage realities  
• What this means for middle mile, peering, and edge infrastructure planning