Generative artificial intelligence has made a significant impact online, with AI-generated summaries and tools becoming increasingly common. OpenAI's release of ChatGPT set off a frenzy in Silicon Valley, leading to the widespread integration of AI tools powered by large language models. However, this proliferation of generative AI has come with a significant downside - the immense resource-intensive computing processes required to run these systems. This has ushered in an era of hyper-consumption on the internet, characterized by a surge in energy and water consumption in data centers where AI applications are developed. As companies race to build bigger and more advanced AI models, concerns about the environmental impact of these energy-intensive processes are mounting. Google's recent admission of increased energy consumption due to AI development underscores the challenges of reducing emissions from suppliers involved in creating physical components for these frontier AI models.