Artificial Intelligence (AI) is increasingly being applied to insect conservation, providing innovative tools for monitoring, analyzing, and protecting insect populations. AI-driven technologies such as machine learning algorithms, computer vision, and automated data analysis are revolutionizing how we study insect behaviour, distribution, and diversity. For example, AI can analyze vast amounts of environmental data to predict habitat changes or identify areas most at risk of biodiversity loss, enabling more targeted conservation efforts. AI-powered image recognition software is being used to automatically identify and track different insect species from camera trap footage, reducing the need for manual labour while improving accuracy and speed. Moreover, AI is enhancing our understanding of insect behaviour by processing complex data from sensor networks, which can track movements, feeding patterns, and environmental interactions. Through these advancements, AI is offering new solutions for managing threatened insect species, monitoring ecosystem health, and even aiding in the restoration of degraded habitats, ultimately supporting the broader goals of biodiversity conservation and ecosystem sustainability.