13.2 AI Use Cases Within the Network

The integration of AI enables multiple operational and application-level use cases.

At the infrastructure level, AI systems analyze validator behavior, transaction patterns, and network load to improve efficiency and detect anomalies. At the application level, AI enables predictive systems such as energy demand forecasting, dynamic pricing, and automated decision-making.

For developers, this means that applications can incorporate predictive analytics, automated execution triggers, intelligent resource allocation and anomaly detection and fraud prevention.

These capabilities extend the functionality of smart contracts by introducing context-aware decision making.