America's largest power grid is currently struggling to meet the rapidly increasing electricity demand driven by the expansion of artificial intelligence technologies, including data centers and AI chatbots. This surge in power consumption has outpaced the development of new power plants, leading to concerns over grid capacity and electricity costs. Electricity bills are projected to rise by more than 20% as a result. In response, there has been renewed public interest in nuclear power generation as a potential solution to the energy shortfall. Meanwhile, advancements in AI such as improved cooling systems, more efficient chips, and better algorithms are helping to reduce the energy consumption of AI infrastructure. Despite these improvements, AI data centers are expected to account for approximately 3% of global electricity demand by 2030. Experts emphasize the need for sustainable energy management strategies and regulatory guardrails to address the growing energy demands of the AI sector.
The artificial intelligence boom’s energy demand requires guardrails instead of just power to create a sustainable future. https://t.co/CReEVhNT7w
#Ciencias | La inteligencia artificial busca reducir sus frenéticas necesidades energéticas Las infraestructuras de IA se basan en centros de datos que representarán 3 por ciento de las necesidades mundiales de electricidad de aquí a 2030. https://t.co/Z9dMKMRcIh
🤖⚡ Gracias a nuevos sistemas de refrigeración, chips más potentes y mejores algoritmos, la #InteligenciaArtificial está reduciendo su consumo energético —justo cuando su crecimiento es más acelerado que nunca. https://t.co/Z9dMKMRcIh