According to @_KarenHao, there was an error in the cited water footprint data for a proposed data center in Chile, and updated figures are now being addressed to ensure accuracy in reporting on AI infrastructure's environmental impact (source: @_KarenHao, Twitter). The correction highlights the growing importance of reliable environmental data in AI data center operations, as water usage is a critical sustainability concern for hyperscale AI infrastructure. Recent industry reports show that leading AI companies are increasingly transparent about their water consumption and are adopting water-efficient cooling technologies to mitigate environmental impact, which offers new business opportunities for AI-driven sustainability solutions (source: Uptime Institute, 2024).