The AI industry's rapid growth has led to a self-reinforcing cycle, with companies and investors relying on complex models and data, yet lacking transparency in their operations, including energy consumption, water usage, and land ownership. This opacity raises concerns about the environmental and social impact of large-scale AI deployment, particularly in the context of data centers and cloud computing. As the industry continues to evolve, there is a need for a more nuanced understanding of the complex relationships between humans, technology, and the environment. AI summary
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