The 2025 Iberian blackout took out 15 GW in 5 seconds. The official cause wasn't renewables — it was a monitoring blind spot. The ENTSO-E final report (March 2026) is the most instructive grid document in a decade. While 400 kV transmission readings sat at a calm 418 kV — well within limits — collector substations one level down at 220 kV were already hitting 242 kV. Transformer tap-changers couldn't adjust fast enough. Nobody saw it, because the monitoring stopped at the transmission level. Then one generation facility injected reactive power into an already over-voltage grid instead of absorbing it. Positive feedback loop. Cascading trips. 60 million people in the dark. The lesson isn't "renewables are unstable" — the report explicitly rejects that framing. It's that legacy SCADA watches the wrong voltage level, and PI/PID controllers can't handle the nonlinear dynamics of a low-inertia grid under oscillation stress. The same blind spot runs through the US grid. PJM just fell 6,625 MW short of its reliability target for the first time ever — with $163B in cumulative capacity costs now projected through 2033 — driven almost entirely by data-center load concentrated in a handful of transmission zones. ERCOT's interconnection queue sits at 233 GW with only 23 GW of new generation synchronized last year. Same conditions, different continent. The fix isn't ripping out the GE Vernova and Siemens SCADA/EMS utilities already own. It's the AI analytics layer nobody is building: collector-level observability, physics-informed planning models that run faster than PSS/E, and queue intelligence that can actually process a 2,600 GW national backlog. Save this if you work anywhere near grid operations, interconnection, or resilience planning — and tell us which gap hurts most on your system: observability, queue throughput, or reactive-power control? #PowerGridAI #GridResilience #EnergyInfrastructure #InterconnectionQueue #GridEdge