This paper explores the intersection of AI, biodiversity and energy, emphasizing the need for a sustainable approach to tech developments. 

AI has the potential to boost economic growth, but its resource-intensive nature poses environmental risks, particularly due to energy and water consumption. We argue for a shift from a resource-intensive AI model to a symbiotic one, where biodiversity inspires sustainable energy solutions. Latin America and the Caribbean (LAC), rich in biodiversity and critical minerals, is well-positioned to lead this transition. 

Specifically, the paper highlights the potential of biomimicry, where nature-inspired innovations can enhance energy efficiency and sustainability in AI systems. Examples include using biological forms, processes and systems to optimize energy use and diversify sources to generate AI. Policy frameworks that support bio-innovation, interdisciplinary collaboration and sustainable AI practices are needed, particularly to foster transparency and incentives for investment in renewable energies. By integrating AI, biodiversity and energy, LAC can foster resilient, sustainable growth and become a global leader in green innovation.