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“THAT DATA CRNTER IS WASTING WATER, STOP ALL DATA CENTERS” I see, let’s talk about that t-shirt you are wearing first or the jeans, the water could support 100s of AI queries or days of computation. In the grand theater of human consumption, few spectacles rival the quiet hypocrisy of decrying data centers while embracing mountains of disposable clothing. Fast fashion: cheap, trend-driven garments churned out in endless cycles, represents a voracious, often invisible drain on water, energy, and ecosystems. Meanwhile, data centers, the engines powering AI and digital life, face scrutiny for their cooling needs. A clear-eyed comparison reveals misplaced priorities: the garment industry’s water use is vast, frequently consumptive or polluting in water-stressed regions, with products destined for landfills after minimal use. Data center water, by contrast, is largely local, often recyclable or evaporative (returning to the hydrological cycle), and supports immense economic and innovative value. It also is just a fraction of the garment industry. Water in the Garment Industry: Hidden Rivers and Polluted Legacies The fashion and textile sector consumes staggering volumes of water annually. Estimates range from 79 to 215 billion cubic meters (roughly 79–215 trillion liters), supplying the drinking needs of millions of people. This makes it one of the world’s most water-intensive industries, second only to agriculture in some assessments. Breaking it down garment by garment: • A single cotton T-shirt requires ~2,500–2,700 liters of water across its lifecycle (growing, processing, dyeing). • A pair of jeans: 7,500–10,000 liters. • Leather items push even higher (8,000+ liters for shoes).21 Cotton, which dominates natural fibers, is particularly thirsty. Global averages hover around 8,920 liters per kg of cotton lint (much from rainwater/“green” water, but ~2,344 liters/kg from irrigation/“blue” water in stressed areas like parts of India, Pakistan, and China). Processing and dyeing add 100–150 liters per kg of fabric, often with toxic chemicals. The dyeing phase alone accounts for hundreds of billions of liters yearly and contributes to ~20% of global industrial water pollution. Untreated wastewater laden with dyes, heavy metals, and chemicals flows into rivers, devastating local ecosystems and communities. Fast fashion amplifies this: Production has doubled in recent decades, with consumers buying 60% more clothes than 15–20 years ago, while usage duration drops. About 100 billion garments produced yearly; 92 million tonnes of textile waste generated, much ending in landfills (a garbage truck’s worth every second). In the U.S., landfills received 11.3 million tons of textiles in 2018. Synthetics (polyester ~55–68% of fibers) add microplastics via washing, now a major ocean pollutant. Cheap clothes are worn briefly, discarded, and replaced—embodying “take-make-waste” at planetary scale. This water is not local and often lost or ruined: Irrigation depletes aquifers in arid regions; polluted effluent renders water unusable downstream. The full supply chain spans continents—cotton from India/Uzbekistan, dyeing in Bangladesh/China, exporting environmental costs to vulnerable areas. Data Centers: Local, Cyclical Water Use for Digital Progress Data centers primarily use water for evaporative cooling (or increasingly air/closed-loop/immersion systems). Global estimates: ~560 billion liters annually now, potentially doubling or more by 2030 with AI growth: still a fraction of fashion’s footprint and far below agriculture (~70% of global freshwater). U.S. data centers consumed ~64 billion liters directly in 2023. BRAND NEW CLOTHING IS TOSSED IN THE DESERT WITH PRICE TAGS STILL ON IT. All to make the brand look rare. Can’t have poor folks wearing it. Meet the infamous fast fashion “clothing graveyard” (also called the “great fashion garbage patch”) in Chile’s Atacama Desert here: 1 of 3








Meta reached to interview me for a principal role the same week they decided to layoff 8,000 people! I’m sure there was at least 1 out of those 8,000 people who got let go who would’ve been a good fit for the role they wanted to hire me for. A few of my staff engineer friends got let go so I know this is true. Instead they: - axe everybody - treat them like a cost - rehire where there’s pain What ever happened to employee retention? Why do companies expect us to be loyal to them if they don’t even try to retain us when they have hundreds of billions of dollars? It would be cheaper financially for them to retain one of those 8,000 people. It would be cheaper emotionally for the people who got let go too How do these big tech companies expect people to put their blood, sweat and tears into work while also saying, “yeah we’ll cut you at any moment.” I don’t know. The culture around AI and layoffs has gotten unbelievably toxic





