Peter Jang
April 22, 2025 11:06
Take a look at how AI can lead to sustainability due to energy demands and climate challenge tasks. Experts discuss the potential, efficiency and policy impact of AI.
Artificial intelligence (AI) is at the forefront of discussions on sustainable development because experts assess advantage and challenge in solving climate change. According to NVIDIA’s blogs, experts from Columbia University and the Wilson Center in the NVIDIA GTC 2025 panel and the Wilson Center informed us whether AI worsen us more sustainable future or global energy and climate tasks. Discussed whether or not.
AI’s energy impact
Fast expansion of AI technology raises concerns about energy consumption, especially in data centers. According to a report from the International Energy Agency, the data center used about 1.5%of global electricity in 2024 and increased to 6%by 2035, resulting in an increase in AI’s energy demands, but is relatively smaller than sectors such as manufacturing and transportation.
The panelists have organized a data center and selected energy sources to emphasize the importance of strategic plans to avoid overloading local grids. David Sandalow of Columbia University pointed out that the power generation of AI chips has greatly increased energy efficiency, reducing the energy required for calculations by 100,000 times.
Breaking AI and Climate Policy
Significant obstacles are the gap between AI function and climate policy. Lauren Risi of Wilson’s Center emphasized the need to understand the limitations of policy makers limiting the potential and effective regulations of AI. She compared the current situation to “Whack-A-Mole’s Game”, and solving a problem often causes new challenges.
Creating a shared understanding between AI and climate professionals is important for the use of AI in sustainability efforts. Cooperation between governments, corporations and researchers is essential to ensure that AI’s applications match the environmental goals.
The role of AI in energy optimization
The panel also explored the ability of AI to improve energy systems and accelerate clean technology innovation. AI tools are optimizing energy production through better predictions to improve weather predictions in solar and wind energy sectors. Smart grid management driven by AI can integrate renewable energy into the power system.
In material science, AI revolutionizes the discovery and testing of new materials for energy storage and carbon capture. David Sandalow emphasized the ability of AI to quickly simulate millions of interactions, resulting in groundbreaking consequences of energy efficient technology.
Future
AI has an appointment for sustainability, but its impact depends on the prevalent efforts of all stakeholders. As David Sandalow pointed out, the potential of AI to reduce greenhouse gas emissions depends on effective mobilization. AI can optimize the process, reduce waste and increase efficiency, but only if it is integrated with a strong climate policy.
RISI emphasized the importance of behavior in AI -based insights, such as foresting and carbon storage measurement. The panel concluded that AI is a powerful tool, but that in order to succeed in solving climate change, joint action is needed in the sector.
To get more insights, visit the NVIDIA blog.
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