"The technology is already available. From Amazon Nova to Anthropic's Claude and other cutting-edge foundation models, the tools to tackle complex sustainability challenges already exist. The next step is encouraging adoption. With AI advancing at remarkable speed, we need stronger systems for sharing how these tools can be applied-so their benefits can scale faster and serve the broader public good."
"That's why we developed a framework we call "3D Sustainability", which identifies three core ways AI is already making an impact: Digitizing data, Discovering insights, and Delivering breakthroughs. When deployed in real-world systems, AI transforms climate action from incremental to exponential-optimizing energy use, accelerating materials discovery, improving agricultural efficiency, and strengthening supply chains. AI is the force multiplier that sustainability efforts have desperately needed."
Rapid advances in artificial intelligence intersect with accelerating climate change, creating opportunities to accelerate climate solutions beyond risks and unintended consequences. Existing AI foundation models and tools can tackle complex sustainability challenges, but wider adoption and stronger systems for sharing application methods are needed to scale public benefits. The "3D Sustainability" framework identifies three impact pathways: digitizing data, discovering insights, and delivering breakthroughs. When integrated into real-world systems, AI can optimize energy use, accelerate materials discovery, improve agricultural efficiency, and strengthen supply chains, enabling faster, larger-scale climate progress.
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