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#environmentaldegradation — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #environmentaldegradation, aggregated by home.social.

  1. Press Release: Rising #Emissions, Depleting #Water and Vanishing #Land—UN Scientists: #AI Is Threatening #NaturalResources for Billions

    By 2030, AI's water use will match the needs of 1.3 billion people while its power use triples that of 650 million, UN University investigation warns

    Date Published
    3 Jun 2026

    Excerpt: "Inference, efficiency, and the rebound effect

    "Public discussion has largely focused on the energy required to train massive models. Training GPT-3 was estimated to require 1.3 gigawatt-hours (GWh) of electricity, while estimates suggest GPT-4 consumed between 50 and 70 GWh. However, the report reveals this framing is outdated. Once a model is deployed, inference—the continuous running of models to answer everyday user prompts—becomes the dominant cost, accounting for 80 to 90 per cent of total #AI energy use. ChatGPT alone is estimated to process around 2.5 billion prompts per day, translating to roughly 383 GWh of electricity per year for a single product. Offsetting associated carbon emissions would require 2.6 million tree seedlings grown for 10 years, enough trees to cover a land area the size of Manhattan. The water footprint is equivalent to the minimum annual domestic water needs of roughly 500,000 people in Sub-Saharan Africa, and the land footprint is equal to over 800 football fields."

    Read more:
    unu.edu/inweh/news/environment

    #AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
    #DatacenterMoratoriums #ArtificialIntelligence

  2. The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints

    #AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

    Date Published 3 Jun 2026

    UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).

    "This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health ( #UNU - #INWEH ) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.

    "The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.

    "Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."

    Download PDF:
    unu.edu/inweh/collection/envir

    #AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
    #DatacenterMoratoriums

  3. #Wikipedia - #UnitedStates
    See also: #Superfund

    "Perhaps the best-known sacrifice zone in the United States is '#CancerAlley' in #Louisiana, an 85-mile stretch of land along the #MississippiRiver containing over 200 #petrochemical plants. Serious air and water quality violations have been documented since the 1970s, and elevated #cancer risk has been found. The region's population is disproportionately #Black and #LowIncome.

    "Commentators including Chris Hedges, Joe Sacco, Robert Bullard and Stephen Lerner have argued that #corporate business practices contribute to producing #SacrificeZones and that these zones most commonly exist in low-income and minority, usually #AfricanAmerican communities. Sacrifice zones are a central topic for the graphic novel #DaysOfDestructionDaysOfRevolt, written by Hedges and illustrated by Sacco.

    "In 2012, Hedges stated that examples of sacrifice zones included #PineRidge, South Dakota and #CamdenNJ. In 2017 a #WestCalumet public housing project in East Chicago, Indiana built at the former site of a lead smelter needed to be demolished and soil replaced to bring the area up to residential standards, displacing 1000 residents. In 2014, Naomi Klein wrote that 'running an economy on energy sources that release poisons as an unavoidable part of their extraction and refining has always required sacrifice zones."

    Related link:
    The Spread of Sacrifice Zones
    By David Swanson, June, 2012
    cdn.countercurrents.org/swanso

    #BigOil #BigOilAndGas #SacrificeZones #SEZs #HumanRights #HumanRightsFreeZone #Pollution #EnvironmentalDegradation #EnvironmentalRacism #EconomicSacrificZones #WaterIsLife #Industries #IndustrialUse #PollutionSacrificeZones
    #GlobalSacrificeZones #CorporateColonialism

  4. #SEZs in #India: Balancing Economic Growth and #Environmental Concerns

    July 27, 2024

    "Picture this: vast stretches of industrial land buzzing with activity, modern factories producing goods for global markets, and thousands of job opportunities emerging overnight. This is the promise of Special Economic Zones (SEZs) in India. But behind this gleaming facade lies a complex web of environmental challenges and social concerns that demand our attention. SEZs represent one of India’s most ambitious economic policies, designed to accelerate industrial growth and boost exports, yet they often come at a significant cost to the environment and local communities.

    [...]

    "[T]he rapid expansion of SEZs has raised significant environmental red flags. The most pressing concern is land acquisition, which often involves converting fertile agricultural land into industrial zones. This conversion not only reduces the country’s agricultural capacity but also disrupts local ecosystems and biodiversity.

    "The establishment of SEZs typically requires large tracts of land – sometimes spanning thousands of acres. Much of this land is acquired from agricultural areas, leading to the displacement of farming communities who have depended on these lands for generations. For instance, the proposed #RaigadSEZ in #Maharashtra would have required over 14,000 hectares of #agricultural land, leading to massive #protests from local farmers.

    "The conversion of agricultural land to #IndustrialUse has long-term implications for #FoodSecurity. As India’s population continues to grow, the loss of productive #farmland could exacerbate food shortage issues in the future. Moreover, agricultural land often has better soil quality and water retention capacity compared to industrial land, making this conversion environmentally costly.

    "Industrial activities within SEZs generate various forms of #pollution. Air pollution from #manufacturing processes, water #contamination from industrial effluents, and #SoilDegradation from chemical usage are common problems. The concentration of industries in SEZs can create pollution hotspots that affect air and water quality in surrounding areas.

    "#WaterScarcity is another critical issue. SEZs require substantial water resources for industrial processes, often competing with local communities for this precious resource. In water-stressed regions, this competition can lead to conflicts and further environmental degradation.
    Human rights and social displacement

    "The human cost of SEZ development cannot be overlooked. Land acquisition for SEZs often involves displacing local communities, particularly small farmers and agricultural workers. These communities frequently receive inadequate compensation and struggle to find alternative livelihoods.

    "The displacement process can be traumatic for local communities who have strong cultural and emotional ties to their land. Traditional occupations like #farming, #fishing, and #SmallScaleTrading are disrupted, forcing people to adapt to entirely new economic realities. The promised employment opportunities in SEZs often don’t materialize for displaced communities, as they may lack the required skills for industrial jobs.

    "Women in these communities face particular challenges, as they often have limited access to alternative employment opportunities and may lose traditional income sources like kitchen gardening or small-scale agricultural activities. The social fabric of rural communities can be severely disrupted, leading to increased poverty and social inequality."

    csr.education/urban-planning-d

    #HumanRights #HumanRightsFreeZone #CorporateColonialism
    #IMFLoanSharks #Exploitation #WorldBank #RaceToTheBottom
    #HumanRightsViolations
    #Pollution #EnvironmentalDegradation
    #EconomicSacrificZones
    #ForcedRelocation #ForcedDisplacement #TraditionalLifestyles #EnvironmentalRacism #Exploitation
    #CorporateColonialism