AI / ML
THE FACTORS DRIVING THE SUSTAINABLE AI IMPERATIVE
Environmental Concerns : The tech industry ’ s carbon footprint is growing , with data centres and AI training contributing significantly to global emissions .
Regulatory Pressure : Governments worldwide are implementing stricter environmental regulations , including those specifically targeting AI development .
Consumer Expectations : Increasingly environmentally conscious consumers are demanding sustainable products and services , including in the tech sector . recently that its carbon emissions had soared 48 % over the past five years primarily due to the rise of AI .
On the other hand , AI offers unprecedented capabilities to optimise resource management , predict and mitigate environmental risks and drive efficiencies across various sectors , potentially leading to significant reductions in overall environmental impact .
Investor Scrutiny : ESG ( Environmental , Social and Governance ) considerations are becoming central to investment decisions , pushing companies to adopt sustainable practices .
Operational Efficiency : Sustainable AI practices often lead to more efficient operations , reducing costs in the long run .
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