The main risk is premium-valuation fragility: any mix shift to lower-margin AI traffic, slower enterprise consolidation, or trust-impacting outages can trigger
multiple compression. Second is competitive bundling from hyperscalers and platform security suites. Third is capital efficiency—scaling GPU-heavy
edge inference requires tight forecasting, high utilization, and durable pricing power.