Developing sustainable Gen AI
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Gen AI has the potential to accelerate sustainable business priorities, control costs, and drive growth. However, organizations must weigh these benefits against the technology’s environmental costs.
“Gen AI has increased the GHG emissions of our organization”
Source: Capgemini Research Institute, Gen AI and Sustainability, August-September 2024, Global N = 2,000 executives from organizations that are working on Gen AI initiatives.
Gen AI’s hardware requirements put a strain on natural resources and habitats
Gen AI models are water-thirsty
Widespread Gen AI adoption will see e-waste levels shoot up
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Percentage of executives saying their organization measures their Gen AI footprint
Source: Capgemini Research Institute, Gen AI and Sustainability survey, August-September 2024, N = 2,000 executives from organizations that are working on Gen AI initiatives.
Organizations identify a number of challenges to measuring the impact
They are looking to tech companies for greater transparency
How are tech companies responding?
“We compare and contrast key Gen AI models and training choices for their energy implications, before choosing one”
Organizations are starting to refine how they address the impact of Gen AI, breaking it down into hardware, algorithm, and model architecture measures
Percentage of executives that agree with the statements:
The last section of our report details a 5-step roadmap to creating sustainable business with Gen AI
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