05/06/2026
Artificial intelligence is becoming one of the most influential tools in how we address environmental challenges.
In energy, transportation, biodiversity, and water management, there are already applications capable of optimizing resources, reducing waste, and improving system efficiency. But this potential comes with one essential condition: it is not automatic.
The same technology that can help reduce emissions and improve environmental management also requires large volumes of data, computational power, and energy infrastructure, which raises new challenges regarding environmental impact, privacy, and equitable access.
The real question is no longer “what AI can do for the environment” but rather “how we are implementing it.”
Without governance, transparency, and conscious decisions about its use, the positive impact of AI may be limited or even counterproductive.
The future of sustainability with AI depends not only on the technology itself, but on how we choose to design, regulate, and apply it.
Source: Springer Nature Link