AI STRATEGY
Amy states . “ EY data shows 69 % of businesses say they need to learn more about the risks of AI adoption , so leaders need to invest in upskilling to build their employee ’ s confidence and ensure they understand the consequences of using AI .”
In order to reduce environmental footprint across a company ’ s operations , businesses can address where their impact is largest and work to mitigate that .
“ Aligning AI initiatives with corporate sustainability goals and gaining stakeholder buy-in can be difficult , requiring clear communication of AI ’ s potential benefits and strategic value ,” Heiko explains . “ Overcoming these challenges necessitates careful planning , investment in training , and a commitment to continuous improvement .”
There is also the problem of AI requiring a significant amount of energy , resulting in greater carbon emissions for businesses .
“ AI comes with its own environmental footprint and businesses should be mindful of this when integrating it into their operations ,” Amy notes . “ Smaller , more efficient AI models , and new PCs with generative AI ( Gen AI ) capabilities built in , can reduce the carbon footprint associated with training large language models ( LLMs ), which is critical for environmental sustainability .”
She adds : “ Businesses should transparently report the net impacts of AI development and deployment , balancing negative and positive sustainability
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