The Bezos Earth Fund has awarded $1.2 million in initial funding to 24 projects as part of Phase I of its AI Grand Challenge for Climate and Nature, a global initiative exploring how artificial intelligence can drive environmental innovation. Each selected team will receive a $50,000 grant to advance AI-powered solutions addressing critical issues such as biodiversity loss, grid decarbonization, and food sustainability.
Vice Chair Lauren Sánchez stated that the selected projects explore previously unthinkable solutions, including converting food waste into reusable proteins and detecting poaching through audio analysis. Dr. Amen Ra Mashariki, Director of AI and Data Strategies, emphasized that AI has the potential to “significantly accelerate our response” to climate and nature challenges.
Projects span sustainable proteins, biodiversity conservation, and power grid optimization, with institutions like Cornell University, Yale, Wageningen University, National Audubon Society, and The Nature Conservancy among the grantees. Phase I recipients will enter an Innovation Sprint, receiving mentorship and refining their implementation strategies.
Phase II, launching later this year, will award up to 15 teams $2 million each to scale their solutions. The initiative forms part of the Bezos Earth Fund’s broader $100 million commitment to advancing AI for environmental progress.
