Harnessing Agentic AI for Sustainable Innovation and Environmental Responsibility
DOI:
https://doi.org/10.5281/zenodo.17662706Keywords:
Agentic AI, Sustainable Innovation, Environmental Protection, Self-directed Systems, Climate Solutions, Green Computing, Circular Economy, AI Ethics.Abstract
We are facing a critical moment. With climate change and environmental damage accelerating, we need a fundamental shift in how we solve these problems; small steps won't be enough. This paper looks at a powerful new ally in this fight: Agentic AI. Think of it as AI that doesn't just analyse data but takes intelligent, independent action. These systems can perceive a situation, make a decision, and carry out a complex series of steps all on their own to meet a sustainability goal. We delve into how these AI agents are built and show them in action - managing complex energy grids, discovering new materials to capture carbon, creating smarter and less wasteful supply chains, and keeping a vigilant watch on our natural world. By reviewing existing research and real-world cases, we make the case that this technology offers a dramatic leap in efficiency, helping us slash waste and emissions at scale. But this power doesn't come without its own set of problems. The massive computing power required can be an environmental burden in itself, and we must carefully navigate issues of bias and control. Ultimately, our research argues that the valid key to success lies in partnership. By building a collaborative relationship between human wisdom and AI capability, we can steer this powerful technology toward a future that is both sustainable and resilient.
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