This is another costly Meta moonshot that may not deliver returns, similar to the company's $60 billion metaverse spending since 2020, which has yielded no clear profits. The shift away from open-source models contradicts years of company philosophy, and the astronomical spending raises questions about the sustainability of its business strategy.

AI-driven data centers consume vast amounts of energy and water due to the high computational power required for training and operating large models. Cooling systems alone demand significant electricity and water to prevent overheating. As AI usage grows, so does its environmental footprint, and the need for more sustainable infrastructure and greener technologies increases, raising concerns about the toll of expanding digital infrastructure.

AI-driven data centres are vital for powering advanced technologies that support healthcare, finance, research, and communication. They enable real-time data processing, large-scale model training, and global connectivity. As the backbone of AI innovation, these centres accelerate automation, enhance decision-making, and drive digital transformation across industries, making them essential for economic growth and technological advancement in the modern world.