75F’s Post

The absence of discussions about AI's carbon footprint in presidential campaigns likely stems from a combination of factors, including the broad focus on climate change. Candidates prioritize addressing more visible sources of emissions, such as transportation and energy production, over AI's less tangible environmental impact. AI's carbon footprint, primarily linked to energy demands, remains a niche issue for voters, overshadowed by more familiar climate concerns. The complexity of addressing AI's environmental impact poses a challenge in political discourse, requiring nuanced solutions difficult to communicate effectively during campaigns. The influence of the tech industry and regulatory lag in addressing emerging technologies further contribute to this gap in conversation. As public awareness grows, future political campaigns may integrate AI's environmental impact more directly into their policies.

Meeting the unparalleled data challenges of the #AI era will require unrelenting commitment to our environmental goals. At #SEDEX2024, #SamsungSemiconductor demonstrated our commitment to achieving sustainability for all in the age of AI using #TechnologyThatMakesTechnologySustainable, including how we plan to meet our existing carbon, water, waste, and pollutant goals. Check out the infographic to learn more.

AI can be a central part of your sustAInability journey but balancing AI's benefits with its environmental impact is crucial. Today's episodes covers responsible AI practices and innovations to reduce its environmental footprint. https://pwc.to/40geiCj

🌍🔍 The debate on AI's environmental impact is heating up! This technology is already being used to tackle climate change, especially in the private sector. However, we must also consider its ecological consequences, which can be surprisingly severe due to high electricity consumption and transparency issues. 🌱 Using AI in the environmental field is a trade-off. The Parliamentary Assembly of the Mediterranean and CGS are enhancing global expertise, helping governments align practices and pushing the private sector towards greater transparency. 🌐💡 #AI #ClimateChange #Sustainability

The shift towards energy-efficient AI practices will not only help in reducing operational costs but also align with global efforts to combat climate change and promote sustainable development. As businesses become more aware of their environmental responsibilities, this approach underscores the importance of integrating sustainability into the core of AI strategy. This paradigm shift not only enhances corporate responsibility but also fosters a more sustainable technological landscape, paving the way for a future where AI and environmental stewardship coexist harmoniously. Keep track of AI trends by subscribing to our newsletter. #AIWithCAIO

The devastating effects of climate disaster is upon us and we must choose well what to prioritize. It isn’t time for war. It isn’t time yo increase greenhouse gases emissions It is time to come together, temporarily sacrifice personal gains to preserve the environment that sustains life on Earth. I believe we can still reverse it. During the great pause we learned that if we give Earth a chance it can heal itself… #earth #sustainability

DISGenAi represents the transformative potential of generative AI in advancing digital transformation, Industry 4.0, and sustainability agendas, ultimately driving economic growth, environmental stewardship, and social responsibility.

Alternative insight divisions as an strategy to adapt to climate challenges and AI advancements. These divisions can foster innovation, diverse perspectives, and ethical decision-making, helping organizations navigate complexity and drive sustainable progress. #AlternativeInsights #Innovation #EthicalDecisionMaking #Sustainability #ClimateChallenges #AIAdvancements #StrategicForesight #FutureOfWork #ChangeManagement #LeadershipDevelopment https://lnkd.in/dptZXeEt

AI’s Staggering Electricity and Water Consumption. This is a new report with a balance perspective. Highly recommend watching this video. The rapid growth of AI-driven cloud computing has undoubtedly brought significant financial gains for investors. However, it is crucial to address the environmental consequences and consider the implications for future generations. Currently, a large portion of our electricity production still relies on burning fossil fuels, which is detrimental to the environment. The training and inference processes of AI models require a substantial amount of electricity, further exacerbating the demand. Moreover, the escalating demand for water, a scarce resource, to cool data centers has become a threat to the water supply of communities. This unsustainable practice puts both the environment and livelihoods at risk. We must adopt a more forward-thinking approach that allows time for innovation to catch up with clean energy production at scale. It is essential to develop new methods for cooling data centers that do not heavily rely on water consumption, thus safeguarding the communities that depend on it. This serves as a call to action for conscious capitalism and the integration of technology for the greater good. By orchestrating the scaling of AI in a responsible manner, we can ensure a sustainable future that balances economic prosperity with environmental preservation. #ai #sustainability #climatechange #environmentalimpact #technologyforgood

The rapid growth of AI-driven cloud computing has undoubtedly brought significant financial gains for investors. However, it is crucial to address the environmental consequences and consider the implications for future generations… #technologyforgood #innovationorchestration