The International Energy Agency (IEA) reports that AI has the potential to reduce greenhouse gas emissions by as much as 1.4 billion tons by 2035. This figure could be triple the emissions from data centers under the most optimistic scenario. However, the IEA emphasizes that this is a scenario, not a prediction, and achieving these reductions depends heavily on technical advances and widespread adoption of AI applications. Currently, data centers, which operate around the clock, significantly increase energy demand and emissions, often powered by natural-gas turbines. The IEA also notes that cleaner energy alternatives like geothermal, nuclear, hydroelectric, wind, and solar power exist but may be more costly or time-consuming to implement. The report highlights existing uses of AI that could lower emissions, such as detecting methane leaks and improving energy efficiency in various industries. Despite these possibilities, the IEA acknowledges the uncertainty and lack of momentum toward ensuring these AI applications are widely adopted.
Strategy & Digital
@StrategyNDigita
·
6h Generative AI transforms energy efficiency and sustainability by optimizing distribution, predicting maintenance, integrating renewable sources, forecasting demand accurately, and reducing emissions, paving the way for a cleaner future.RT
@antgrasso
#ai #sustainability
Robin Monotti
@robinmonotti
·
Mar 24 ARTIFICIAL INTELLIGENCE DEBUNKS THEORY OF CO2 BASED ANTHROPOGENIC CLIMATE CHANGE:
This AI informed climate study used unadjusted observational data and synthesised findings from recent peer-reviewed literature:
“Our analysis reveals that human CO₂ emissions, constitute a mere
Peter D Carter
@PCarterClimate
·
Apr 10 AI ELECTRICITY DOUBLES BY 2030 IEA
AI energy accelerates-double by 2030 Bound to keep increasing Certain Climate Catastrophe
Most of increase from more coal
Heating over 2°C certain, by 2040 even.
https://iea.org/reports/energy-and-ai/energy-demand-from-ai… #energy #climatechange #AI #globalwarming
IEEE Spectrum
@IEEESpectrum
·
Apr 8 There’s another cost to using AI—an environmental one. Estimated #carbonEmissions of AI models are high, with Meta’s Llama 3.1 equating to the energy consumption of about 496 Americans in one year. (5/13)
Ronald van Loon
@Ronald_vanLoon
·
Apr 7 #AI Has A #Sustainability Problem: How To Tackle It’s Carbon Footprint
by Alexander Puutio
@Forbes
Read more: https://buff.ly/8eeJwmq
#ArtificialIntelligence #MI #MachineLearning #Tech
cc:
@ogrisel
@grattonboy
@grattongirl
Manfred Santen
@ManfredSanten
·
5h Big AI companies are responsible for the whole supply chain, energy consumption, water and resource usage for chipmaking endanger the environment. AI companies and data centre owners have to commit to achieve 100% renewable energy across supply chain by 2030.
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