Using artificial intelligence to generate IPS rules has excellent potential to enhance network security, especially in detecting complex and evolving threats. However, it is not a panacea. AI models can generate too broad or specific rules, leading to false positives (over-alarming) or false negatives (missing threats). Many AI-generated rules may degrade the performance of IDS, especially in high-throughput networks. Based on the evaluation, a hybrid approach combining the strengths of AI and human expertise may be the most suitable approach for generating AI-driven IPS rules.