[AI]Sustainability is key in 2025 for businesses to advance AI efforts

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Since AI hit the mainstream in the last few years, industries across the world are feeling the positive impacts. From

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to helping doctors to detect

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, AI’s potential and impact are growing by the day.

Regardless of whether this is being powered via a supercomputer, edge computing methods, or a traditional data centre, society is truly feeling the positive effect of advances in the AI industry.

However, with fresh innovation has always come questions around environmental impact. These concerns are gaining momentum, especially around the energy consumption associated with the increased processing power required to run increasingly large systems.

The United Nations Environment Programme

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about the rising levels of e-waste and cooling considerations for data centres more specifically. This also follows on from

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, who have flagged that a larger carbon footprint might be the price we are paying for innovation.

Add on top of this the fact that governments globally are implementing new regulations and reporting requirements as part of initiatives to curb the impact of climate change, such as the EU’s

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(CEAP), and it becomes clear this issue is coming to the forefront of the AI agenda.

Analysts around the globe are also beginning to focus on this, with Gartner naming energy-efficient computing as a

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, as organisations come under pressure to show they are considering the impact AI is having on the environment.

Businesses that are not considering sustainability as part of core AI infrastructure and expansion or technology strategies are at risk of hindering their own progress. Failing to keep pace with sustainable practices can cause reputational damage, as organisations may be seen as behind the curve in an increasingly sustainability-focused world, alongside risking non-compliance with regulation.

When looking at the previously mentioned example of e-waste, if organisations are found to be not properly recycling devices (such as our

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), they could face negative feedback and lose business as a result of poor brand image. With these factors in mind, it’s clear that businesses must consider building a sustainable AI framework that supports operational efficiency, encouraging business growth.

Prioritising the implementation of technologies that limit energy consumption can be a huge help when it comes to ensuring regulatory compliance and the ability to meet greater sustainability goals. These also come with the ability to help organisations to future-proof against market instability with reduced reliance on energy along with strengthening brand reputation in an increasingly environmentally-conscious world.

This is within easy reach for many businesses as there is a large number of offerings in the market that can balance sustainability efforts, with high processing capabilities. At ASUS we have partnered with Intel to

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. There is so much available to businesses today if they choose to take the initial step and consider a strategy to implement technologies which balance regulatory pressures, customer expectations, and overall business goals will help organisations to feel confident innovation won’t come at a cost to the environment.

IDC has raised this with its audience,

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which outlined; “To address the environmental challenges of harnessing AI’s benefits, enterprises are turning to Sustainable AI Frameworks that focus on minimising the environmental impact of artificial intelligence by addressing key elements such as energy efficiency, resource optimisation, and e-waste reduction.”

As AI innovation continues to grow, alongside market pressure, businesses will find it becomes clear which organisations within the market are able to cope, and which will be left behind. Ultimately, those who choose to embed sustainability into AI strategies will lead the way.

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