OmkarCodecarbon is a nice tool to get carbon emission metrics of your code. It can run offline, locally on machine.
mindful-echoesLiving Lightly on a Warming Planet
Copyright © [Surabhi Parashar] [2026]. All Rights Reserved. 1 Hello readers, how are you doing today? I call my website “Mindful Echoes” because that’s how I want to live. I want to be present in each and every moment and make mindful choices every day. Ironically, being mindful and fully present in the moment is one of the most difficult things to do in our chaotic world. Yet we all try, don’t we? Last week, I touched on mindfulness, and this week I'd like to continue the […]https://mindful-echoes.com/2026/06/11/living-lightly-on-a-warming-planet/
SustainabilityOnlineSuntory Beverage & Food Europe (SBFE), which is home to brands such as Ribena, Lucozade, Orangina and Schweppes, has reported a 20% reduction in its #carbonfootprint compared to 2019 levels, in its 2025 Sustainability Report.🥤
Suntory Beverage & Food Europe reports a 20% reduction in carbon footprint - Sustainability Online
Suntory Beverage & Food Europe (SBFE has reported a 20% reduction in its carbon footprint compared to 2019 levels, in its 2025 Sustainability Report.
Lumpenanalyst#CarbonCostOfGenocide: "The #CarbonFootprint from #Israel’s genocidal war on #Gaza has worsened an already fragile environment, with #emissions from the first 15 months of the assault estimated to surpass those of 100 countries." https://www.middleeasteye.net/news/study-finds-forever-chemicals-israeli-produce-due-genocidal-war-gaza?utm_source=twitter&utm_medium=social&utm_campaign=Social_Traffic&utm_content=ap_vm4ccxxy4h
DoomsdaysCWPress 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 However, the report reveals this framing is outdated.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:
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
Winbuzzerhttps://winbuzzer.com/2026/06/07/ai-water-demand-could-match-13-billion-people-by-2030-xcxwbn/
UN researchers estimate AI data centers could use water equal to 1.3 billion people's annual needs by 2030 as electricity and land pressures grow.
#AI #AIInfrastructure #DataCenters #AICompute #AIInference #Environment #CarbonFootprint #CarbonEmissions
Online Marketing ScoopsRemember How Sucking Carbon Out of The Air Was Going To Save The Planet? We Have Terrible News
Shutterstock / Futurism The idea of sucking CO2 out of the atmosphere to combat climate change might be a necessary intervention, but it always sounded like a longshot. Unfortunately, it seems like the strategy is already hitting a wall. A new report published this week found that ongoing carbon dioxide removal (CDR) efforts are barely putting a dent in the fight against global warming and that for them to start making an impact, they would need to be scaled up at a rate that rivals the […]https://onlinemarketingscoops.com/2026/06/07/how-sucking-carbon-out-of-the-air/
Remember How Sucking Carbon Out of The Air Was Going To Save The Planet? We Have Terrible News
Shutterstock / Futurism The idea of sucking CO2 out of the atmosphere to combat climate change might be a necessary intervention, but it always sounded like a longshot. Unfortunately, it seems like…
FRNstudioESG: Kunci Masa Depan Bisnis Berkelanjutan di Era Digital
Di tengah meningkatnya perhatian terhadap perubahan iklim, tanggung jawab sosial, dan transparansi perusahaan, konsep ESG (Environmental, Social, and Governance) telah menjadi salah satu indikator utama dalam menilai keberlanjutan sebuah bisnis. Tidak hanya investor, tetapi juga konsumen, pemerintah, dan mitra bisnis kini semakin mempertimbangkan praktik ESG sebelum mengambil keputusan. Foto di atas menggambarkan bagaimana teknologi digital memainkan peran penting dalam implementasi ESG. […]https://frnstudio.wordpress.com/2026/06/06/esg-kunci-masa-depan-bisnis-berkelanjutan-di-era-digital/
Kalvin Carefour JohnnyMy opinion is that AI increases the carbon footprint, and AI can contribute to unnecessary resource usage.
#AI #climatechange #environment #sustainability #tech #carbonfootprint #energy #ethics #awareness #truth #technology #future #responsibility #greenwashing #computing #datacenter #digitalrights #humantech #ecology #justice