AI companies face massive energy headaches as datacenter build outs accelerate
AI training is hugely energy intensive and not only is the grid struggling but companies building new datacenters are having issues securing the power they need.
Key takeaways
- Energy constraints are set to become the IT industry’s next major bottleneck, reckons Facebook co-founder and CEO Mark Zuckerberg.
- How long will the exponential AI training and energy curve keep going – Zuckerberg asks rhetorically.
- The Facebook CEO highlights that energy production is probably worth investing in soon.
Cite or link to this article
Griffin, M. (2024) 'AI companies face massive energy headaches as datacenter build outs accelerate', 311 Institute, 29 July. Available at: https://www.311institute.com/ai-companies-face-massive-energy-headaches-as-datacenter-build-outs-accelerate/ (Accessed: 1 October 2026).
Energy constraints are set to become the IT industry’s next major bottleneck, reckons Facebook co-founder and CEO Mark Zuckerberg. In a recent interview, he said he thinks that the long-running GPU drought is basically over, and Artificial Intelligence (AI) growth and development, such as increasingly massive training costs, won’t be reined in by capital constraints in the near term. Instead, energy issues are going to become the next major pinch point.
Zuckerberg tells interviewer Dwarkesh Patel that with the GPU drought now over, businesses will be tempted to “invest a lot of money in building out these things,” like data centers. However, before capital becomes a question, industry is going to be confronted by energy constraints, reckons Zuckerberg.
The Future of Energy 2050, with Futurist Matthew Griffin
Providing some support to his assertion, the Facebook boss observes that a lot of new data centers are consuming 50 to 100 megawatts, with particularly large ones that “might be 150 megawatts.” It seems only a question of time before data centers start requiring 300 or 500 megawatts, or even pushing to a Gigawatt like Elon Musks’ Grok data center which could soon have over 300,000 Nvidia Blackwell B200 GPUs.
How long will the exponential AI training and energy curve keep going – Zuckerberg asks rhetorically. This question brings the topic of energy production into focus. The Facebook CEO highlights that energy production is probably worth investing in soon.
Making a new power station is not a trivial task. Taking into account regulations (particularly with nuclear energy), powerline planning, and construction it can take many years from drawing up a plan to power flowing to the grid. In a timely article, the WSJ looks closely at the US state of Georgia and how it is coping with the opening of a multitude of tech and industrial businesses.
Energy will determine AI's future not compute
Many of the new businesses “hoover up huge amounts of electricity,” notes the WSJ. At the same time, states are trying to lessen reliance on fossil fuel generated electricity, making attracting key businesses while assuring them of energy supplies a tightrope walk. Making things more complicated is the question of demand and supply affecting consumer prices and supplies.
Going forward, flexibility seems key, utilising diverse power sources from renewables like solar and wind, employing batteries for spike management, using nuclear where available, such as in Amazon’s case, and pragmatically using fossil fuel resources as required.
Interestingly, and relevant to the Zuckerberg interview above, the WSJ notes that Facebook is collaborating with a Georgia co-op and solar developer called Silicon Ranch, to help power its data centers.
FAQ
Why does this matter?
AI training is hugely energy intensive and not only is the grid struggling but companies building new datacenters are having issues securing the power they need.

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
Source: first published by the 311 Institute on 29 July 2024. Cite as: Griffin, M. (2024). AI companies face massive energy headaches as datacenter build outs accelerate. 311 Institute. https://www.311institute.com/ai-companies-face-massive-energy-headaches-as-datacenter-build-outs-accelerate/
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