The use of AI in environmental conservation, especially biodiversity conservation and sustainable resource management, makes a desirable contribution to the optimisation of the allocation of environmental resources and enhances predictive analytics. This is done with the help of SEM-based mediation analysis, a sample size of 248, and studies in the context of Tanzania that can process meaningful datasets which can be used to track environmental trends, optimise the use of resources, and enable more informed decision-making. The synthesis of big data and AI further optimises these capabilities, allowing for the creation of predictive models for the purposes of monitoring habitats and managing species. Such technological developments play a required function in meeting the complex challenges of biodiversity conservation, especially in areas that are subject to major ecological pressures. Developing cost-effective models for resource sharing and forming strategic partnerships with local technology companies and universities.