The integration of AI within smart contracts enables a level of adaptability and autonomy previously unattainable in network management. AI algorithms embedded in these contracts analyze real-time data, predict potential security issues, and adjust network operations accordingly. 

This means that instead of relying on manual interventions, the network can automatically optimize resource allocation, modify access controls, and initiate threat responses based on the latest data. This approach not only enhances security but also significantly reduces the risk of human error, ensuring that the network remains resilient and responsive to ever-evolving cybersecurity threats. 

Incorporating AI into smart contracts allows for a fully decentralized approach to network management, where control is distributed across the network rather than concentrated in a central authority. This decentralization eliminates the single points of failure that can be exploited by attackers, making the network more secure and robust. 

Additionally, the use of smart contracts ensures that all actions are executed transparently and immutably, with every decision and operation recorded on the blockchain. This combination of AI and blockchain not only secures the network but also builds trust, as all stakeholders can verify the integrity of the network’s operations.