This chapter emphasizes how artificial intelligence (AI) is transforming the field of agricultural entomology. Conventional methods for studying insects and managing pests do not address core issues in entomology. AI technologies, such as machine learning, deep learning, computer vision, and natural language processing, have the potential to transform insect science. These technologies help with accurate insect identification and assessment of biodiversity and provide insights for understanding insect behavior. AI will transform the strategies used for pest management because of image-based pest identification and monitoring, coupled with forecasting and pest management. AI extends beyond pest management and benefits the industry by optimizing mass production systems for beneficial insects. AI has enabled citizen science initiatives to expand insect monitoring worldwide. AI contributes to academic writing, knowledge dissemination, and interdisciplinary collaboration in entomology. Despite their promise, AI models face critical challenges related to data availability, data accessibility, and interpretability of AI output. Integrating AI into entomology is not only an opportunity but also a necessity to address biodiversity loss, invasive pests, and climate-driven challenges, thereby accelerating progress in insect science.