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WEF says MENA needs 40% more electricity capacity by 2030, urges AI data centre overhaul

The World Economic Forum urged Middle East and North Africa governments to classify AI data centres as “critical dynamic loads” and rethink electricity planning. The report says the region’s electricity capacity needs to grow by 40 per cent by 2030, while cooling accounts for more than 40 per cent of data-centre electricity use in MENA.

AI-assisted synthesis · Based on 2 independent reports from 4 outlets · Full text read from 1 of 2 reportsHow it's made

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What happened

Key facts

  • The World Economic Forum urged Middle East and North Africa governments to classify AI data centres as critical loads and overhaul power planning amid rising demand (per etnownews.com).
  • The WEF described the proposed classification as “critical dynamic loads.” (per etnownews.com).
  • The report says MENA’s electricity capacity needs to increase by 40 per cent by 2030 (per etnownews.com).

The brief

The World Economic Forum is urging governments across the Middle East and North Africa to classify artificial-intelligence data centres as critical loads and revise electricity planning. The recommendation addresses the facilities’ power requirements and fluctuating demand, according to ET Now, which reported the WEF’s proposals and figures.

The WEF calls for the facilities to be treated as “critical dynamic loads.” It recommends that governments distinguish AI data centres from conventional industrial and commercial electricity consumers, citing their high power needs and changing demand. The report frames the classification as part of a wider adjustment to electricity planning as demand rises.

The report says MENA’s electricity capacity needs to increase by 40 per cent by 2030. It also compares the electricity use of AI server racks with traditional web workloads: AI racks consume between 30 and 100 kilowatts, against 3–10 kilowatts for traditional workloads, according to the figures reported by ET Now.

Cooling is another substantial part of the facilities’ electricity use. The report puts cooling’s share at more than 40 per cent of electricity consumption at data centres in MENA. That figure accompanies the WEF’s call for governments to account for AI data centres in their power planning, rather than treating them like conventional commercial or industrial users.

The WEF also points to behind-the-meter electricity generation as a way to reduce data centres’ dependence on utility grid connections. It says this approach could accelerate deployment by 12–36 months. The report presents the timeframe as a potential effect of reducing reliance on grid connections, not as a confirmed result of projects already completed.

The recommendations and figures are attributed to the WEF report in ET Now’s account. The report’s stated focus is regional: classify AI data centres as critical loads, plan for their power requirements and changing demand, and consider generation located behind the meter.

The article does not describe a government decision adopting those recommendations; it reports them as proposals from the WEF.

Why it matters

  • MENA governments face a stated power-planning requirement: the WEF report says regional electricity capacity needs to increase by 40 per cent by 2030.
  • Electricity demand at data centres includes substantial cooling use: the report says cooling accounts for more than 40 per cent of consumption at MENA data centres.
  • The reported power range for AI server racks is 30–100 kilowatts, compared with 3–10 kilowatts for traditional web workloads, informing the WEF’s recommendation to classify AI data centres separately.

What to watch next

  • Whether MENA governments adopt the WEF’s recommendation to classify AI data centres as critical dynamic loads.
  • Whether governments revise electricity planning to account for AI data centres’ power requirements and fluctuating demand.
  • Whether data-centre operators use behind-the-meter generation to reduce dependence on utility grid connections.
  • Whether behind-the-meter generation produces the 12–36-month deployment acceleration the WEF says could occur.

How it's being covered

Coverage analysisShow details
4 source articles · 4 unique outlets · 2 distinct reports
Coverage mix: Too few rated· 1 Center
Where the outlets are based: Unknown 75% · Asia 25%
Coverage mix
Too few rated
Left
Center
Right
0 outlets
1 outlet
0 outlets
The marker shows coverage balance: each unique outlet counts once. 3 unrated outlets are not included.
Geography
Where the outlets covering this story are based.
4 unique outletsDominant coverage: Asia
Coverage imbalance
  • Coverage is currently concentrated among outlets based in Unknown (3 of 4 geographically-identified sources).
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Timeline

Developments from this story's sources, dated background we compiled and fact-checked, and our earlier coverage. Each row says which.
  1. The infrastructure behind that demand grew with cloud computing: Amazon launched Amazon Web Services in 2006, offering computing capacity through remote data centres rather than only on local machines.
    Background · from our historical context
  2. OpenAI released ChatGPT to the public in November 2022, broadening access to generative AI.
    Background · from our historical context

How we got here

In April 2024, the International Energy Agency’s *Electricity 2024* report projected that global data-centre electricity consumption could more than double by 2026, reaching about 1,000 terawatt-hours; it identified artificial-intelligence services as one source of rising demand.

The infrastructure behind that demand grew with cloud computing: Amazon launched Amazon Web Services in 2006, offering computing capacity through remote data centres rather than only on local machines.

Original sources

1 of 4 articles · Asia · Show all

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