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- The US grid can’t handle the drain of growing generative AI energy use
The US grid can’t handle the drain of growing generative AI energy use
Jacqueline Choi
August 20, 2024
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What's in this week's issue?
🔋 The US grid can’t handle the drain of growing generative AI energy use
💻️ AI will change 92% of ICT roles – these are 7 job types most affected
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Generated by Midjourney
The growth of generative AI requires huge amounts of water and energy and the US grid is struggling to cope.
As AI has taken off in the last few years, new data centers are popping up across the country to support the paid acceleration of AI. Learning models need such data centers to provide the vast amount of computing resources required to train and deploy complex machine learning models and algorithms.
However, data centers also require a huge amount of power to run and maintain them, as well as water to cool the servers inside. Concerns are rising about whether the US power grid can generate enough electricity for the growing number of necessary data centers. While AI has been helping to improve sustainability in some fields, if it’s not a sustainable technology in itself, it won’t be doing any good for the planet.
Generated by Midjourney
With the rumbles of AI chasing our tails, many are concerned about the impact this will have on the future workforce. If predictions are correct, more than 92% of Information and Communications Technology (ICT) related jobs will suffer.
This is thought to affect seven categories of jobs the most, ranging from data science to business reporting.
This estimation comes from the ‘AI-Enabled ICT Workforce Consortium’ which formed in April and includes some of the world’s largest technology companies, including Google, IBM, Microsoft, Intel, Accenture, and more.
The consortium was created to address challenges with AI talent and they’ve now published a report looking at the gloomy possibilities. The report details how “100% of jobs will require AI literacy skills,” as workers will be forced to upskill to keep up-to-date.
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