The article predicts that by 2026 NetOps will be deeply transformed by AI, shifting from reactive troubleshooting to predictive and autonomous network operations. AI will be widely used to analyse telemetry at scale, detect anomalies early, and recommend or automate remediation, reducing mean time to identify and resolve issues. AIOps and large-model analytics will enable intent-driven assurance, translating business policies into automated network validation and compliance checks. As networks grow in complexity with hybrid cloud, edge, and multi-vendor environments, AI-powered observability will provide context-aware insights tying performance to business impact. Self-driving networks—with automated configuration, forecasting, and capacity planning—will become achievable, supported by rea

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