Source: SiliconANGLE
Notre Dame's decision to systematically replace aging network infrastructure before deploying AI exposes a gap between public narrative and operational reality: most organizations lack the underlying systems to run advanced AI workloads, but won't say so. The "AI-ready" label obscures what actually happens first—enterprises strip out decades of technical debt by replacing legacy hardware, consolidating data silos, modernizing security—before they can safely integrate AI. The bottleneck is unglamorous infrastructure work that requires sustained investment with no immediate competitive payoff, not innovation itself.