Global records indicate that in 2020 alone, weather-related disasters displaced over 30 million individuals, outnumbering conflict-related displacement by three times. Climate change displacement has emerged as a serious threat to achieving inclusive and equitable education and lifelong learning for all, set out by SDG4. A study (UNU-IAS and UNESCO, 2023) revealed that drop-out rates of children from the climate change displaced families are increasingly high and there is an urgent need for data-informed planning for education provision in the context of climate change. This roundtable is to explore issues and opportunities that AI can offer from diverse sectors in enhancing the data-informed decision to ensure undisrupted, inclusive and equitable education for migrants and displaced children in the context of climate change. The session features experts from intersectoral areas, including education policy, AI-generated data, human mobility, and climate change. It will discuss potential policy recommendations, including shifting from census-based education data to transactional student data, exploring innovative data, e.g. GIS data, disaster data and Big Data to project potential in/outflux of learner displacement, and creating a simulation to support education planning reflecting climate change impact, human mobilities and required resources for inclusive education. The session will conclude with inter-sectoral collaboration opportunities to put the discussion outputs into practice.