Falcon and other post-quantum cryptography algorithms were developed in response to the serious threats that the emergence of quantum computing posed to established cryptographic systems. In parallel, blockchain technology which is renowned for its decentralization and security faces difficulties preserving robustness and efficiency in the face of changing computational demands and security risks. The goal of this work is to better understand how adaptive block segmentation can be incorporated into post-quantum blockchain infrastructures to improve resilience and speed, especially when CPU loads fluctuate. Our results show that, while segmentation increases computing overhead, it considerably enhances the blockchain’s ability to manage high-intensity computational processes, resulting in enhanced scalability and security. For example, our experiments show that segmentation reduces mining time by an average of 15% under high demand while boosting transaction processing capacity by 20%. These findings add to the continuing topic about improving the performance of post-quantum blockchains.