🚨 AI drives a 48% increase in Google's emissions 🚨 Google's data centers are consuming more power than ever, driven by the huge energy demands of AI. Did you know that asking ChatGPT a question uses 10x more electricity than performing a standard Google search? This raises a crucial question: Is AI moving us further away from our net-zero goals, or will it provide the inteilligence to help solve the climate crisis? Can technology save us? #EnergyConsumption #FutureTech #ArtificialIntelligence
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The quick development of AI technology since ChatGPT's launch in November 2022 has given rise to serious social, economic, and environmental issues. While AI's heavy dependence on energy-intensive data centers increases worldwide electricity consumption and carbon emissions, European regulators and financial institutions are closely examining the technology's effects on inflation and privacy. Large tech companies like Microsoft, Meta, and Google have shown significant increases in emissions as a result of their investments in AI, underscoring the pressing issues with water and energy use. Addressing these environmental effects and enhancing the sustainability of data management are vital worldwide imperatives as AI deployment picks up speed. #AI #ArtificialIntelligence #TechGiants #DataCenters #CarbonFootprint #EnvironmentalImpact #Sustainability #ClimateChange #ClimateFinance #RenewableEnergy #EnergyEfficiency #GlobalBank #InnovationLab #DisasterRiskReduction #PrivacyIssues
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Founder & MD of Fellowship – UK Dev Agency of the Year 2023 | We help large businesses grow through bespoke WordPress & WooCommerce websites and WordPress Multisites.
Will AI scupper our plans to save the planet? Although estimates on the internet's carbon footprint vary, last time I checked it was between 1 billion - 1.6 billion tonnes of greenhouse gas emissions per year. This translates to roughly 2% - 3.5% of global emissions, which is comparable to the aviation industry. On Tuesday, Google revealed that its greenhouse gas emissions have increased by 48% over the past 5 years. It stated the primary cause was increased electricity consumption by data centres, largely due to AI processing. This concerns me. As tech companies invest heavily in AI, and many of us embrace the efficiencies and benefits it delivers, are we inadvertently scuppering our chances of reaching net zero? Will AI contribute towards saving the planet, or destroying it? I sincerely hope it’s not the latter. And will this recent announcement have any impact on how you use AI? Will any of you think twice before firing up ChatGPT? I’d love to know. 𝘗.𝘚. 𝘐 𝘸𝘢𝘴 𝘨𝘰𝘪𝘯𝘨 𝘵𝘰 𝘶𝘴𝘦 𝘈𝘐 𝘵𝘰 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘢𝘯 𝘪𝘮𝘢𝘨𝘦 𝘧𝘰𝘳 𝘵𝘩𝘪𝘴 𝘱𝘰𝘴𝘵, 𝘣𝘶𝘵 𝘥𝘦𝘤𝘪𝘥𝘦𝘥 𝘵𝘰 𝘶𝘴𝘦 𝘢𝘯 𝘰𝘭𝘥 𝘴𝘵𝘰𝘤𝘬 𝘱𝘩𝘰𝘵𝘰 𝘪𝘯𝘴𝘵𝘦𝘢𝘥.
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AI technology is rapidly evolving, and with it comes a wave of opportunities and challenges. Elon Musk, the visionary behind Tesla and SpaceX, recently warned about the potential dangers of AI tools like OpenAI's ChatGPT and Google's Gemini. Despite the cautionary tone, these tools can also revolutionize business efficiency! ChatGPT, for instance, can generate human-like text, making it an invaluable tool for businesses. Imagine automating customer service responses or crafting engaging marketing content in a fraction of the time! Similarly, Google's Gemini, a machine learning model, can understand and generate human language. This could transform how businesses analyze customer feedback, leading to more personalized and effective strategies. However, Musk's warning reminds us to tread carefully. He emphasized the need for AI regulation, stating that the technology could be more dangerous than nuclear weapons. It's a stark reminder that while AI offers immense potential, it must be used responsibly. So, let's embrace the future, but with caution. AI can be a game-changer for businesses, but only if we navigate its complexities wisely. #AIinBusiness #ResponsibleAI #FutureTech
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There is so much chatter about AI but not much about how energy and water intensive ChatGPT and similar programs are to develop and run. I predict it will be water scarcity that limits AI, not any political action. #water #energy #energywaternexus https://lnkd.in/gyCB_zNQ
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EIC Engineering | Advanced Automation | Information Systems & Analytics | Ports & Terminals | Transportation | Infrastructure | Mining | Technology | Humanist
We have a major issue with artificial intelligence and its impact on water and energy consumption levels. Hence, thought I would share some key concerning facts on ChatGPT’s massive water and energy consumption that all board directors and executives need to be aware of: 1. ChatGPT's consumes over half a million kWh of electricity each day, an amount staggering enough to service about 200 million requests. 2. ChatGPT's daily power usage is nearly equal to 180,000 U.S. households, each using about 29 kWh. 3. A ChatGPT conversation uses about 50 cl of water. This is very concerning given the incredible growth of genAI product innovations not only from OpenAI, but also from major technology or new entrant players like: Amazon, Anthropic, Cohere, Microsoft and Nvidia. The AI industry's electricity consumption is already projected to increase significantly, potentially reaching between 85-134 TWh annually by 2027. We are going to need far more efficient genAI infrastructures to compress complex AI models, but also design more energy efficient and energy friendly technology innovations. Water is our most scarcest global resource and it is the purest source of life. #artificialintelligence #resources #water #efficiency #consumption #llms #sustainability
ChatGPT And Generative AI Innovations Are Creating Sustainability Havoc
forbes.com
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Multi-award Winning Keynote Speaker, CEO, Board Advisor: Technology, Future, Navigating Change, AI, Future-ready Leadership from30 years experience: - Adobe, Google, Microsoft, GE, Novartis, +
How are YOU using AI? In my board advisory work, this question often leads to........SILENCE The reality is AI is here - embedded into Microsoft apps, Google, Apple - your day to day activities. Plus Gen AI - ChatGPT, Dalle, Firefly, Gemini, Perplexity are easily available, safe (with responsible use) tools everyone can and should use to kickstart, speed, check, validate or just give a different option to daily tasks. This does not mean - turn over the task to AI and walk away.. but requires human engagement - in defining the problem to be addressed with AI, creating the prompts, carefully reviewing the results, discerningly looking for errors or hallucinations and integrating the results with human ingenuity. People PLUS AI will co-create a better future for all. #future #AI #leadership #boards
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The water is of little concern. The power consumption is costly. Very costly. And to scale up AI to replace all those pesky humans the AGI enthusiasts keep telling us about, they're going to need to process daily requests certainly several orders of magnitude greater than 200 million. Some mock the EV enthusiasts, asking where we will generate sufficient electricity to charge all the EVs they dream of, when we really ought to be mocking the AGI hypesters claiming their AI will replace millions of jobs. The question is where will the power come from when all those out of work humans are out enjoying a Sunday drive in their EV?
EIC Engineering | Advanced Automation | Information Systems & Analytics | Ports & Terminals | Transportation | Infrastructure | Mining | Technology | Humanist
We have a major issue with artificial intelligence and its impact on water and energy consumption levels. Hence, thought I would share some key concerning facts on ChatGPT’s massive water and energy consumption that all board directors and executives need to be aware of: 1. ChatGPT's consumes over half a million kWh of electricity each day, an amount staggering enough to service about 200 million requests. 2. ChatGPT's daily power usage is nearly equal to 180,000 U.S. households, each using about 29 kWh. 3. A ChatGPT conversation uses about 50 cl of water. This is very concerning given the incredible growth of genAI product innovations not only from OpenAI, but also from major technology or new entrant players like: Amazon, Anthropic, Cohere, Microsoft and Nvidia. The AI industry's electricity consumption is already projected to increase significantly, potentially reaching between 85-134 TWh annually by 2027. We are going to need far more efficient genAI infrastructures to compress complex AI models, but also design more energy efficient and energy friendly technology innovations. Water is our most scarcest global resource and it is the purest source of life. #artificialintelligence #resources #water #efficiency #consumption #llms #sustainability
ChatGPT And Generative AI Innovations Are Creating Sustainability Havoc
forbes.com
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The dark side of AI. 2 facts: - 20 ChatGPT prompts use 1 liter of water (to cool down servers) - Annually, AI's carbon footprint is approaching 1% of global emissions A recent study projects that by 2027, NVIDIA’s new AI servers will be consuming over 85.4 terawatt-hours annually, exceeding the energy usage of countries such as Sweden and Argentina. https://lnkd.in/eQBZTxDC Shall we use AI trying to solve climate change or keep usage to the minimum? What do you think?
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We asked ChatGPT about its carbon footprint. It responded in an unexpectedly candid manner, shining light on both its developer and the AI industry's lack of transparency on the subject. As a general-purpose technology, AI promises to deliver enormous benefits, including in terms of climate action. For instance, AI is already assisting in making air travel more fuel-efficient, in developing faster electric batteries, or in climate adaptation by improving forecast models for extreme weather. Recently, AI helped solve a major plasma confinement challenge, bringing us one step closer to safe fusion power. But how much energy is needed to deliver these breakthroughs? We know that large generative AI systems will soon consume more resources than entire nations (as much electricity as Japan and half of the UK’s freshwater use by 2027, according to recent reports). However, the exact environmental footprint of AI remains a closely guarded secret. In the fast-paced AI industry, companies fiercely compete by developing increasingly sophisticated and efficient algorithms. Disclosing the details of the infrastructure that underpins these breakthroughs (such as the location and efficiency of data centres or the size and optimization of AI models) could give rivals the blueprint they need to replicate success or even surpass the original innovators. Aware of the problem (a group of Facebook researchers called it the “elephant in the room”), AI companies have started making carbon-neutral pledges and releasing best practices that promise to reduce the footprints of AI systems: developing sparse models with fewer parameters (the evidence so far is that models are becoming larger and more complex); and relying on more efficient processors and data centres. The issue is that it is difficult to know whether they’re implementing them since AI companies disclose very limited information. But without a better understanding of just how much energy AI systems consume, AI companies and developers will have a hard time reducing it or driving the development of more energy-efficient technologies. Ultimately, if you don’t measure it, you can’t improve it. The development of AI holds lots of promises for climate action, but AI companies’ lack of accountability in terms of their environmental footprint cannot be addressed with voluntary measures alone. Enforcing clear environmental reporting requirements for AI companies is a necessary step to steer the industry towards a sustainable future. #sustainability #carbonfooptrint #GHGemissions #AI #LLMs #ChatGPT #OpenAi
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Q: How much energy and water does AI, such as ChatGPT consume? A: A whole heckuva lot * The estimated energy consumption of a Google search is .0003 kWh (1.08kJ). The estimated energy consumption of a ChatGPT-4 query is .01kWh (36 kJ) depending on the model size and number of tokens processed which is roughly 15 times more energy. As a point of context, a 60W incandescent light bulb consumes .06kWh in an hour. * As of 2021 Google's total electricity consumption was 18.3 TWh (terawatt-hour), with AI accounting for 10-15% of the total. Based on the growth trajectory of AI use it's not unrealistic to think that Google's AI alone could consume as much electricity as the country of Ireland (29.3 TWh per year). * To train a large language model each processing unit can consumer over 400 watts of power while operating. Therefore we're looking at up to 10 gigawatt-hour (GWh) to train a single large language model like ChatGPT-3. As a point of context, that is roughly equivalent to the annual electricity consumption of over 1,000 US households. * In 2021 Google's global data centres consumed approximately 4.3 billion gallons of water. Microsoft has said that it's global water consumption went from 4.7 million cubic metre in 2021 to 6.4 million cubic metre in 2022. That's almost 1.7 billion gallons which equates to more than 2500 Olympic-sized swimming pools.
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While AI does increase energy consumption, it might also has the potential to optimize energy use across industries, potentially offsetting its own carbon footprint. Innovations in green AI and energy-efficient data centers are crucial. The balance between AI's environmental cost and its problem-solving benefits will determine its role in achieving net-zero goals.