s AI systems grow increasingly sophisticated and powerful , a pressing concern has emerged : the environmental impact of these powerful technologies . The tech industry now faces a critical challenge – how to harness the transformative power of AI while ensuring its development and deployment align with global sustainability goals .
At the heart of this challenge lies something of an AI sustainability paradox . On one hand , the computational demands of AI contribute significantly to energy consumption and carbon emissions . Training large language models and running complex AI systems require vast amounts of processing power , often sourced from data centres with substantial carbon footprints , with Google reporting
186 October 2024