AI-driven transformation to achieve sustainability targets

Artificial intelligence (AI) can help organizations reduce their carbon footprint by optimizing processes, reducing waste, and improving resource efficiency, but it also contributes to rising energy demand.
The use of AI is accelerating across industries, driving a central leadership challenge: scaling AI while ensuring it supports environmental goals.
While organizations focus on specific AI use cases for sustainability outcomes, execution often remains fragmented, reinforcing the need for a more structured approach.
Companies like Unilever demonstrate measurable environmental impact through AI-driven initiatives in supply chain and production processes.
To unlock the full potential of AI-driven sustainability, organizations need to adopt a coherent, enterprise-wide strategy, better governance, and closer alignment between technology and sustainability strategies.
As technology leaders take on new roles as sustainability orchestrators, they must drive integrated approaches embedding sustainability into technology decisions.
The opportunity lies in governing AI effectively and using it in an environmentally friendly way to achieve enterprise-wide climate targets.

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