While driving IT transformation with Generative AI, CxOs are increasingly asking about environmental implications e.g., with respect to company net zero strategies. Our latest report delves into the environmental footprint of Gen AI, providing a roadmap for developing sustainable Gen AI practices.
Key insights:
- 47% of organizations have seen an increase in GHG emissions due to Gen AI.
- Only 12% of organizations measure the environmental impact of their Gen AI initiatives.
- 74% of executives cite a lack of transparency from Gen AI providers as a major challenge.
Strategic considerations:
- Sustainability Metrics: Establish robust frameworks to measure and report the environmental impact of Gen AI. This includes tracking energy consumption, GHG emissions, and e-waste.
- Provider Transparency: Advocate for greater transparency from Gen AI providers regarding the environmental footprint of their models.
- Energy Efficiency: Invest in energy-efficient hardware and optimize AI models to reduce resource consumption.
- Green Data Centers: Transition to green data centers and renewable energy sources to mitigate the environmental impact.
- Regulatory Compliance: Stay ahead of emerging regulations related to AI and sustainability to ensure compliance and avoid potential penalties.
By addressing these concerns, CxOs can lead their organizations towards a sustainable future while harnessing the transformative power of Gen AI. Let’s commit to responsible innovation and drive sustainable business value together. 🌱
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