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Measured per individual task, the energy efficiency of AI is improving at a rate unprecedented in energy history. Software and hardware advances have resulted in the energy use per AI task dropping by at least an order of magnitude annually in recent years.
The need for sustainable software and AI has never been more urgent. … We are now at a defining moment where sustainability must become a core design principle of every software and AI system.
To ensure that the digital transformation truly works for our society, we must address the growing energy demand of data centres. Understanding their energy and resource consumption is the essential first step towards integrating them sustainably into our energy system. Digital sovereignty must go hand in hand with energy responsibility.
While digital technologies offer immense potential for climate action, their rising energy demands and emissions cannot be overlooked. Environmental sustainability must be built into how we design, power and scale the technologies shaping our shared digital future.
But AI is also hungry for land, water and power. The data centres behind it already consume more electricity than most nations. By 2030, they could use more power than all but five countries – and enough water to meet the basic needs of all 1.3 billion residents of sub-Saharan Africa for an entire year.
IT impacts sustainability in many ways and in 2024 the leading consideration for most IT organisations is their carbon footprint.
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IT impacts sustainability in many ways and in 2024 the leading consideration for most IT organisations is their carbon footprint.
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