#energyconsumption — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #energyconsumption, aggregated by home.social.
-
https://www.europesays.com/ie/598915/ ROHM Develops New Buck-Boost DC-DC Evaluation Board #AudioElectronics #BatteryPowered #BuckBoost #DCDCConverters #Éire #ElectronicsCorner #EnergyConsumption #evaluation #IE #Ireland #ProductDesign #ProductDevelopment #QuiescentCurrent #ROHMSemiconductor #Technology #wearables
-
https://winbuzzer.com/2026/07/18/utah-data-center-critics-sue-oleary-and-fox-news-xcxwbn/
Utah data center critics have sued Kevin O'Leary and Fox News over claims they are linked to China, seeking damages after O'Leary withdrew the claims and Fox apologized.
#FoxNews #KevinOLeary #DataCenters #China #ChineseGovernment #EnergyConsumption #AIInfrastructure
-
https://winbuzzer.com/2026/07/18/utah-data-center-critics-sue-oleary-and-fox-news-xcxwbn/
Utah data center critics have sued Kevin O'Leary and Fox News over claims they are linked to China, seeking damages after O'Leary withdrew the claims and Fox apologized.
#FoxNews #KevinOLeary #DataCenters #China #ChineseGovernment #EnergyConsumption #AIInfrastructure
-
https://winbuzzer.com/2026/07/18/utah-data-center-critics-sue-oleary-and-fox-news-xcxwbn/
Utah data center critics have sued Kevin O'Leary and Fox News over claims they are linked to China, seeking damages after O'Leary withdrew the claims and Fox apologized.
#FoxNews #KevinOLeary #DataCenters #China #ChineseGovernment #EnergyConsumption #AIInfrastructure
-
https://winbuzzer.com/2026/07/18/utah-data-center-critics-sue-oleary-and-fox-news-xcxwbn/
Utah data center critics have sued Kevin O'Leary and Fox News over claims they are linked to China, seeking damages after O'Leary withdrew the claims and Fox apologized.
#FoxNews #KevinOLeary #DataCenters #China #ChineseGovernment #EnergyConsumption #AIInfrastructure
-
https://winbuzzer.com/2026/07/18/utah-data-center-critics-sue-oleary-and-fox-news-xcxwbn/
Utah data center critics have sued Kevin O'Leary and Fox News over claims they are linked to China, seeking damages after O'Leary withdrew the claims and Fox apologized.
#FoxNews #KevinOLeary #DataCenters #China #ChineseGovernment #EnergyConsumption #AIInfrastructure
-
Europe’s energy use for cooling doubled in six years: Which countries use the most?
June 2026 was the hottest June on record for western Europe and the second warmest globally, according to…
#Europe #EU #cooling #Energy #energyconsumption #energydemand #EUcountries #TJ #WesternEurope
https://www.europesays.com/europe/95608/ -
Europe’s energy use for cooling doubled in six years: Which countries use the most?
June 2026 was the hottest June on record for western Europe and the second warmest globally, according to…
#Europe #EU #cooling #Energy #energyconsumption #energydemand #EUcountries #TJ #WesternEurope
https://www.europesays.com/europe/95584/ -
Europe’s energy use for cooling doubled in six years: Which countries use the most?
June 2026 was the hottest June on record for western Europe and the second warmest globally, according to…
#Europe #EU #cooling #Energy #energyconsumption #energydemand #EUcountries #TJ #WesternEurope
https://www.europesays.com/europe/95505/ -
EU still can’t prove €43 billion in home renovation funds actually saved energy
The European Union’s post-pandemic recovery fund has poured €43 billion into improving the energy efficiency of private homes,…
#Europe #EU #Energy #energyconsumption #energyefficiency #energysavings #EuropeanCourtofAuditors #EuropeanUnion #RRF #theCommission #TheEuropeanUnion
https://www.europesays.com/europe/88524/ -
Historic Electricity Load Measured Due to All-Time Temperature Highs https://www.byteseu.com/2156767/ #electricity #EnergyConsumption #HeatRecord #heatwave #HighTemperatures #HungaroMet #Hungary #MAVIR #SummerHeat
-
Historic Electricity Load Measured Due to All-Time Temperature Highs
Debrecen at noon on June 30 New records were set in Hungary during the prolonged heatwave: on Monday,…
#Hungary #HU #Europe #Europa #EU #electricity #energyconsumption #Heatrecord #heatwave #hightemperatures #hír #HungaroMet #hungary #Magyarország #MAVIR #summerheat
https://www.europesays.com/3101197/ -
Climate litigants target rapid expansion of artificial intelligence data centers https://www.byteseu.com/2141654/ #AI #AIDataCenters #ArtificialIntelligence #Buckinghamshire #California #Chile #CleanAirAct #ClimateLitigation #DepartmentOfJustice #ElonMusk #EnergyConsumption #EnvironmentalLawsuits #FossilFuels #google #Ireland #JoanaSetzer #LondonSchoolOfEconomics #LSE #mississippi #pittsburg #RenewableEnergy #UnitedKingdom #WaterConsumption #XAI
-
Can anyboddy tell me what information there is on energy mix/consumption and water consumption at the two German AI Factories, #HammerHAI and #JUPITER ?
For HammerHAI, I could find a webpage "Sustainability & Environment" [1] of the #HLRS in Stuttgart who are managing the metal, and I will work through that in the next days.
Is there something comparable for the #JSC in Jülich (I understand that's who manages the physical infrastructure for JUPITER & Co, right?)
[1] https://www.hlrs.de/social-responsibility/sustainability-environment
#AI #AIFactory #EnergyConsumption #EnergyMix #WaterConsumption
-
Can anyboddy tell me what information there is on energy mix/consumption and water consumption at the two German AI Factories, #HammerHAI and #JUPITER ?
For HammerHAI, I could find a webpage "Sustainability & Environment" [1] of the #HLRS in Stuttgart who are managing the metal, and I will work through that in the next days.
Is there something comparable for the #JSC in Jülich (I understand that's who manages the physical infrastructure for JUPITER & Co, right?)
[1] https://www.hlrs.de/social-responsibility/sustainability-environment
#AI #AIFactory #EnergyConsumption #EnergyMix #WaterConsumption
-
Can anyboddy tell me what information there is on energy mix/consumption and water consumption at the two German AI Factories, #HammerHAI and #JUPITER ?
For HammerHAI, I could find a webpage "Sustainability & Environment" [1] of the #HLRS in Stuttgart who are managing the metal, and I will work through that in the next days.
Is there something comparable for the #JSC in Jülich (I understand that's who manages the physical infrastructure for JUPITER & Co, right?)
[1] https://www.hlrs.de/social-responsibility/sustainability-environment
#AI #AIFactory #EnergyConsumption #EnergyMix #WaterConsumption
-
Can anyboddy tell me what information there is on energy mix/consumption and water consumption at the two German AI Factories, #HammerHAI and #JUPITER ?
For HammerHAI, I could find a webpage "Sustainability & Environment" [1] of the #HLRS in Stuttgart who are managing the metal, and I will work through that in the next days.
Is there something comparable for the #JSC in Jülich (I understand that's who manages the physical infrastructure for JUPITER & Co, right?)
[1] https://www.hlrs.de/social-responsibility/sustainability-environment
#AI #AIFactory #EnergyConsumption #EnergyMix #WaterConsumption
-
Can anyboddy tell me what information there is on energy mix/consumption and water consumption at the two German AI Factories, #HammerHAI and #JUPITER ?
For HammerHAI, I could find a webpage "Sustainability & Environment" [1] of the #HLRS in Stuttgart who are managing the metal, and I will work through that in the next days.
Is there something comparable for the #JSC in Jülich (I understand that's who manages the physical infrastructure for JUPITER & Co, right?)
[1] https://www.hlrs.de/social-responsibility/sustainability-environment
#AI #AIFactory #EnergyConsumption #EnergyMix #WaterConsumption
-
EU AI Act: Sustainability from an Environmental Perspective https://www.byteseu.com/2120775/ #AI #AIRegulation #Article40 #ClimateChange #CodesOfConduct #EnergyConsumption #EnergyEfficiency #environment #eu #EUAIAct #EuropeanGreenDeal #EuropeanUnion #GreenAI #RiskManagement #Sustainability #SustainableDevelopment
-
EU AI Act: Sustainability from an Environmental Perspective
The European Union Artificial Intelligence Regulation—the EU AI Act, officially known as Regulation (EU) 2024/1689—entered into force on…
#Environment #AI #AIregulation #Article40 #climatechange #codesofconduct #energyconsumption #Energyefficiency #EU #EUAIAct #EuropeanGreenDeal #EuropeanUnion #greenAI #riskmanagement #sustainability #SustainableDevelopment
https://www.europesays.com/3073371/ -
EU AI Act: Sustainability from an Environmental Perspective
The European Union Artificial Intelligence Regulation—the EU AI Act, officially known as Regulation (EU) 2024/1689—entered into force on…
#Europe #EU #AI #AIRegulation #Article40 #climatechange #codesofconduct #energyconsumption #energyefficiency #EUAIAct #EuropeanGreenDeal #EuropeanUnion #greenAI #riskmanagement #Sustainability #Sustainabledevelopment
https://www.europesays.com/europe/73877/ -
If datacentres "were a country, it would have ranked 11th in the world for electricity consumption in 2025, roughly on par with France."
-
If datacentres "were a country, it would have ranked 11th in the world for electricity consumption in 2025, roughly on par with France."
-
#Datacentre #opponents blocked or delayed 75 projects worth $130 billion in the first quarter of 2026, according Data Centre Watch. This represents a significant increase in #opposition, with the number of active groups more than doubling and #legislativeproposals for #moratoriums introduced in 14 states. The study highlights a shift in focus from incentives to regulatory oversight due to concerns about #energyconsumption and #environmentalimpact. https://www.nbcnews.com/tech/tech-news/data-center-opposition-sharply-rising-2026-study-finds-rcna349728?eicker.news #tech #media #news
-
#Datacentre #opponents blocked or delayed 75 projects worth $130 billion in the first quarter of 2026, according Data Centre Watch. This represents a significant increase in #opposition, with the number of active groups more than doubling and #legislativeproposals for #moratoriums introduced in 14 states. The study highlights a shift in focus from incentives to regulatory oversight due to concerns about #energyconsumption and #environmentalimpact. https://www.nbcnews.com/tech/tech-news/data-center-opposition-sharply-rising-2026-study-finds-rcna349728?eicker.news #tech #media #news
-
https://www.europesays.com/iran/159004/ Iraq’s electricity generation reaches 22,000 megawatts #Electricity #energy #EnergyConsumption #gas #GasSupplies #Iran #Iraq #Israel #PowerPlants
-
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 2026Excerpt: "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:
https://unu.edu/inweh/news/environmental-cost-of-AIs-Enrgy-use-carbon-water-and-land-footprints#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 -
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 2026Excerpt: "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:
https://unu.edu/inweh/news/environmental-cost-of-AIs-Enrgy-use-carbon-water-and-land-footprints#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 -
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 2026Excerpt: "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:
https://unu.edu/inweh/news/environmental-cost-of-AIs-Enrgy-use-carbon-water-and-land-footprints#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 -
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 2026Excerpt: "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:
https://unu.edu/inweh/news/environmental-cost-of-AIs-Enrgy-use-carbon-water-and-land-footprints#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 -
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 2026Excerpt: "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:
https://unu.edu/inweh/news/environmental-cost-of-AIs-Enrgy-use-carbon-water-and-land-footprints#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 -
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:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#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 -
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:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#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 -
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:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#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 -
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:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#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 -
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:
https://unu.edu/inweh/collection/environmental-cost-of-AIs-Enrgy-Use-Carbon-water-and-land-footprints#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 -
The #AI boom is gobbling up power faster than ever
By Hannah Beckler, June 7, 2026
Excerpt: "The data center boom is accelerating.
"A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.
"At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.
"The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.
"#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.
"#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.
"The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."
https://www.businessinsider.com/us-ai-data-center-power-electricity-use-consumption-2026-6
Archived version:
https://archive.ph/hJXeS#NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech
-
The #AI boom is gobbling up power faster than ever
By Hannah Beckler, June 7, 2026
Excerpt: "The data center boom is accelerating.
"A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.
"At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.
"The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.
"#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.
"#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.
"The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."
https://www.businessinsider.com/us-ai-data-center-power-electricity-use-consumption-2026-6
Archived version:
https://archive.ph/hJXeS#NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech
-
The #AI boom is gobbling up power faster than ever
By Hannah Beckler, June 7, 2026
Excerpt: "The data center boom is accelerating.
"A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.
"At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.
"The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.
"#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.
"#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.
"The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."
https://www.businessinsider.com/us-ai-data-center-power-electricity-use-consumption-2026-6
Archived version:
https://archive.ph/hJXeS#NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech
-
The #AI boom is gobbling up power faster than ever
By Hannah Beckler, June 7, 2026
Excerpt: "The data center boom is accelerating.
"A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.
"At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.
"The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.
"#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.
"#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.
"The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."
https://www.businessinsider.com/us-ai-data-center-power-electricity-use-consumption-2026-6
Archived version:
https://archive.ph/hJXeS#NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech
-
The #AI boom is gobbling up power faster than ever
By Hannah Beckler, June 7, 2026
Excerpt: "The data center boom is accelerating.
"A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.
"At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.
"The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.
"#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.
"#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.
"The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."
https://www.businessinsider.com/us-ai-data-center-power-electricity-use-consumption-2026-6
Archived version:
https://archive.ph/hJXeS#NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech
-
From AOF R&D New from R&D: Macro-Scale Artificial Intelligence versus the Micro-Scale Western Tech Household https://artoffaceless.org/macro-scale-artificial-intelligence-versus-the-micro-scale-western-tech-household/?utm_source=dlvr.it&utm_medium=mastodon #ArtificialIntelligence #DigitalAge #Sustainability #EnergyConsumption #TechHousehold
-
Schneider Electric links KNX with Samsung SmartThings
Schneider Electric has integrated its SpaceLogic KNX system with Samsung SmartThings,…
#France #FR #Europe #EU #SchneiderElectric #automation #Carbonemissions #Carbonfootprint #Consumertech #Decarbonisation #energyconsumption #Energyefficient #Homeautomation #InternetofThings(IoT) #interoperability #MobileApps #realestate #Samsung #Smartappliances #SmartBuilding #smarthome #SmartPhones #sustainability
https://www.europesays.com/france/27183/ -
RE: https://mastodon.green/@gerrymcgovern/116652858820351338
You pay for the energy hunger of the datacenters.
-
RE: https://mastodon.green/@gerrymcgovern/116652858820351338
You pay for the energy hunger of the datacenters.
-
Erin Brockovich Asks Americans For Help As She Launches Data Center Map
--
https://www.newsweek.com/erin-brockovich-asks-americans-for-help-as-she-launches-data-center-map-11989813 <-- shared media article
--
https://brockovichdatacenter.com/ <-- shared Brockovich AI Data Center Reporting web site
--
https://youtu.be/fp5ozQraKf4?si=7qu3g77iVVD3GGFJ <-- shared media video, @cbs Sunday Morning, “Nationwide boom in AI data centers stirs resistance”
--
#GIS #spatial #mapping #USA #nation #AI #datacenters #waterresources #utilities #energyconsumption #water #hydrology #hydrography #watermanagement #community #humanimpacts #costs #economics #ewaste #noise #risk #hazard #electricity #localcommunities #taxbreaks #cooling #energy #highenergyusage #infrastructure #landuse #environment #ecology #public #skepticism #environmentalimpact #scalability #growth #Virginia #Utah #Texas #Ohio #Arizona #Georgia
#ErinBrockovichFoundation #ErinBrockovich -
Erin Brockovich Asks Americans For Help As She Launches Data Center Map
--
https://www.newsweek.com/erin-brockovich-asks-americans-for-help-as-she-launches-data-center-map-11989813 <-- shared media article
--
https://brockovichdatacenter.com/ <-- shared Brockovich AI Data Center Reporting web site
--
https://youtu.be/fp5ozQraKf4?si=7qu3g77iVVD3GGFJ <-- shared media video, @cbs Sunday Morning, “Nationwide boom in AI data centers stirs resistance”
--
#GIS #spatial #mapping #USA #nation #AI #datacenters #waterresources #utilities #energyconsumption #water #hydrology #hydrography #watermanagement #community #humanimpacts #costs #economics #ewaste #noise #risk #hazard #electricity #localcommunities #taxbreaks #cooling #energy #highenergyusage #infrastructure #landuse #environment #ecology #public #skepticism #environmentalimpact #scalability #growth #Virginia #Utah #Texas #Ohio #Arizona #Georgia
#ErinBrockovichFoundation #ErinBrockovich -
https://www.europesays.com/iran/133145/ Fed’s Lorie Logan Issues Stark Hormuz Warning — Consumers May Face A World With Less Oil, Gas #AlternativeEnergySources #EconomicConsequences #EnergyConsumption #GlobalOilMarket #GlobalOilSupply #Hormuz #InternationalEnergyAgency #Logan #OilAndNaturalGas #StraitOfHormuz
-
Christ on a bouncy castle.... #bitcoin #EnergyConsumption https://www.compareforexbrokers.com/us/bitcoin-mining/
-
Christ on a bouncy castle.... #bitcoin #EnergyConsumption https://www.compareforexbrokers.com/us/bitcoin-mining/