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MENA Should See AI Data Centres for Sustainability Needs

MENA Should See AI Data Centres for Sustainability Needs

Oct 18, 2026

Above is an aerial view of Riyadh at night featuring the iconic Kingdom Centre Tower, by Abul Lais via Pexels

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MENA urged to classify AI data centres as critical loads

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ETDatacenters

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The World Economic Forum (WEF) has called for Middle East and North Africa (MENA) countries to classify artificial intelligence (AI) data centres as “critical dynamic loads”. This recommendation aims to address rising electricity demand, water scarcity, and extreme heat threatening the region’s AI infrastructure ambitions.

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Highlights

  • WEF urges MENA to classify AI data centres as “critical dynamic loads”.
  • MENA’s electricity capacity needs 40 per cent increase by 2030, but only 15 per cent projected.
  • AI server racks consume 30-100 kW, compared to 3-10 kW for traditional web workloads.
  • Cooling accounts for over 40 per cent of data centre electricity use in MENA.

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The World Economic Forum (WEF) has urged countries in the Middle East and North Africa (MENA) to classify artificial intelligence (AI) data centres as “critical dynamic loads”. This move aims to overhaul energy planning, as rising electricity demand, water scarcity, and extreme heat could threaten the region’s ambitions for AI infrastructure.

The WEF report indicates that MENA’s electricity capacity needs to increase by 40 per cent by 2030. However, current projections show only 15 per cent growth, raising concerns about supporting energy-intensive AI facilities. The report highlighted that AI server racks consume 30 to 100 kilowatts of power, significantly more than the 3 to 10 kilowatts for traditional web workloads.

Cooling requirements also pose a challenge, accounting for over 40 per cent of data centre electricity consumption in the region. Extreme temperatures and limited water availability increase operating costs and resource pressures.

The WEF recommended that governments distinguish AI data centres from conventional industrial and commercial electricity consumers. It also proposed mandatory energy-demand forecasts and coordination mechanisms involving developers, utilities, grid operators, and regulators.

Projects exceeding 10 megawatts of IT load should submit detailed electricity-demand forecasts as part of grid-connection applications, according to the report. Behind-the-meter electricity generation could accelerate data centre deployment by 12 to 36 months, reducing dependence on utility grid connections.

Key Recommendations

The WEF outlined four areas for action: smarter infrastructure design, integrated energy systems, advanced cooling and water management, and forward-looking regulation. It recommended greater use of solar power combined with battery storage, on-site electricity generation, and AI-based energy management.

Closed-loop cooling systems and treated wastewater were also suggested. Small modular nuclear reactors and enhanced geothermal systems could offer longer-term power solutions, though their commercial viability remains a constraint.

Regional governments are urged to harmonise regulatory standards and promote cross-border cooperation. This would improve infrastructure efficiency and investment confidence.

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Urban Planning Can Benefit from AI: Opportunities Ahead

Urban Planning Can Benefit from AI: Opportunities Ahead

Oct 17, 2026

A stunning aerial view of Monopoli, Italy, showcasing its grid-like urban layout during the day. by K via pexels

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Urban planning can benefit from AI but must not lose critical judgement and local specificity, warns UNECE

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UNECE SDGs
16 October 2026

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Urban Planning Can Benefit from AI: Opportunities Ahead

Image credit: Thomas/stock.adobe.com

AI is going to permeate urban planning as it has in other forms of intellectual work, including the generation of urban design forms. Exploring its opportunities and challenges, a new paper by the United Nations Economic Commission for Europe (UNECE) notes that AI can widen access to high-quality planning support, lower some entry costs, and help municipalities explore sustainability options with greater speed and clarity. At the same time, it can weaken professional capacity, standardize urban imagination, reproduce dominant cultural assumptions, and create new forms of dependency if adopted without institutional safeguards. 

As highlighted in intergovernmental discussions informed by the paper at UNECE’s Committee on Urban Development, Housing and Land Management in Geneva this week, the most important issue is not whether AI will plan cities better than humans and make the planning process less costly and more efficient, but whether municipalities can use AI to enlarge their planning capacity without surrendering their critical judgment, cultural plurality, and institutional autonomy.

Like in many other areas, the paper notes that AI can advise, forecast and even out-predict human judgement on narrow questions, but it cannot bear responsibility for the consequences of a decision. AI does not experience the lived cost of a plan gone wrong, nor is it accountable to the residents affected by it, bringing risks for municipalities. 

For resource-constrained cities, AI may indeed democratize access to analytical and design capabilities; but without strong public governance, the same tools could centralize expertise elsewhere, narrow the range of legitimate urban futures, and make weaker municipalities more dependent rather than more capable. 

In the context of Urban Development, Housing and Land Management policy, the task is therefore to shape conditions under which AI becomes a public instrument for better planning rather than a shortcut that erodes the very capacities planning requires. That means treating innovation, capacity-building, pluralism, and procurement sovereignty as a single agenda rather than separate concerns.

The paper suggests a balanced framework to address these concerns, resting on five principles:

1. Support vs. substitution. AI should assist evidence synthesis, scenario exploration, design generation, communication, and administrative burden reduction, while elected officials and qualified planners retain responsibility for framing problems, weighing values, and making final decisions. 

2. Capacity vs. scale. Municipalities should invest in staff literacy, governance procedures, and evaluation capacity before large-scale deployment, particularly where departments are already under-resourced. 

3. Plural datasets & contextual evaluation. Tools should be tested against diverse urban contexts and assessed for their treatment of minority, informal, and nondominant planning forms, rather than evaluated only on generic technical performance. Architectural forms are a common, shared resource for humanity, and there should be public oversight over how the relevant models are trained.

 4. Open standards & exit options. Procurement should minimize lock-in through interoperability, portability, auditability, and clear rights over data and outputs. Multilateral organizations and development finance could fund open-source, public interest planning platforms, both to keep decision-relevant data, models, and infrastructure from concentrating in a few private hands beyond public scrutiny and to give low-resource municipalities access to these systems on public terms. 

5. Participation & accountability. Because AI is entering the normative core of planning, residents and affected communities should have meaningful routes to understand, question, and influence how these systems are used.

In the discussions, Norway shared practical applications of AI to support planning administration and public participation in local governments. One example focused on the use of AI to analyze large volumes of public consultation submissions by automatically classifying comments, identifying recurring themes, grouping similar inputs and generating summaries for planners. This helps reduce administrative burdens and enables planning authorities to process stakeholder feedback more efficiently while maintaining human oversight of final assessments. A second example highlighted the use of AI to analyze extensive planning archives accumulated over decades, making historical planning documents more searchable and accessible by extracting and structuring information from large collections of unstructured records.

The United Nations Innovation Technology Accelerator for Cities (UNITAC) presented an example of the use of AI and Earth observation technologies in Namibia to monitor urban growth and land-use change through the analysis and comparison of satellite imagery over time. These tools enable authorities to identify patterns of urban expansion, track the pace of informal urbanization and assess areas requiring infrastructure investment, thereby enhancing the timeliness and accuracy of spatial data, providing a stronger evidence base for urban planning and decision-making. At the same time, the it was stressed that technological solutions alone are insufficient. Effective application of AI requires the integration of local knowledge, community engagement, institutional capacity and government ownership, with local planners and communities playing a critical role in validating AI-generated outputs and ensuring that planning decisions reflect realities on the ground.

 

Read more on : Artificial Intelligence Housing and Land Management Sustainable Development

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Countries Most Vulnerable to Fossil Fuel Phaseout Insights

Countries Most Vulnerable to Fossil Fuel Phaseout Insights

Oct 16, 2026

Wide shot of an empty Conoil gas station in Nigeria, showcasing fuel pumps and canopy. by Bashir Hussaini Ahmed via Pexels

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Countries most vulnerable to fossil fuel phaseout generate just 6% of global output, climate analysis finds

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by Potsdam Institute for Climate Impact Research

Edited by Gaby Clark, reviewed by Robert Egan

Phys.org – 15 October 2026

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Countries highly vulnerable to the phase-out of oil, gas and coal account for just 6% of global economic output, countries in Africa stand to benefit from their vast solar energy potential, and the economic interests of the U.S., Europe and China are affected by climate policy in surprisingly similar ways. A study by the Potsdam Institute for Climate Impact Research (PIK) published in Nature Sustainability now shows, for 169 countries around the world, how the fight against global heating affects national assets—and what geopolitical challenges and opportunities arise as a result.

The comprehensive dataset compiled by the research team shows how climate policy affects national assets in four ways: it reduces demand for fossil fuels, potentially leading to losses in oil, gas and coal revenues; it reduces climate-related damage to the national economy; it creates new economic opportunities for solar and wind energy development; and it increases the value of a country’s capacity to absorb and store CO₂ from the atmosphere—whether “naturally” via forests or “managed” through the stewardship of natural areas.

“Based on our data analysis, we can map how countries could gain or lose from different aspects of decarbonization by the end of this century, depending on the level of ambition in climate policy,” reports Guanna Pan, PIK researcher and lead author of the study. “We explore geopolitical tensions that may arise from some countries experiencing losses, but we also show how national interests can foster international cooperation, and how this can be further strengthened through targeted incentives.”

Five groups of countries with similar interests

To better understand potential economic gains and losses across countries, the research team has identified clusters—that is, groups of states in which climate policy generates similar economic opportunities and risks, and potentially shared interests. According to the study, 19 fossil fuel–dependent countries would potentially oppose ambitious measures.

By contrast, 51 countries in the Global South have a strong interest in a rapid climate transition as they would otherwise face particularly severe climate damage. Likewise, 13 countries “with high potential for renewable energy”—the majority of which are in Africa—and 17 countries “with high carbon sequestration capacity” would also naturally favor swift action in the fight against global heating.

However, these four clusters do not carry all that much political weight: the group of oil-, gas- and coal-dependent countries accounts for only 6% of global economic output, and the three groups of countries that especially stand to benefit from climate protection account for only 13% combined.

The remaining 81% of economic output is accounted for by the fifth cluster—the 69 “economies with moderate impacts”—which includes the EU, China and the U.S. In this group of countries, the economic benefits of climate policy are, in absolute terms, considerable in many cases, particularly due to avoided climate damage. Calculated as a percentage, however, they are not as large as in the three clusters of strong winners.

Climate policy safeguards long-term prosperity

In summary, the research team notes that humanity as a whole must take a collective interest in climate action, but that the differences in gains and losses between countries need to be fully understood. The study provides the necessary guidance and concludes with the recommendation that, where interests diverge, climate cooperation should be strengthened through “package deals.” This means that concessions on climate protection for hesitant countries should be linked with promises regarding trade or research and development; it could also mean simply offsetting losses through financial transfers.

“In view of the current resurgence of opposition to a committed climate policy, it is important to recognize that climate policy does not merely devalue certain assets—namely those of fossil fuel suppliers,” emphasizes Ottmar Edenhofer, PIK director and one of the co-authors. “Our study also demonstrates quite precisely how new assets are simultaneously being built up. Overall, climate policy revalues the capital stock of economies in a new and sustainable way, thereby safeguarding long-term prosperity.”


 

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Will AI Be Good or Bad for Future Climate Solutions?

Will AI Be Good or Bad for Future Climate Solutions?

Oct 15, 2026

A wind farm with turbines against a clear blue sky in a desert setting. by Kindel Media via Pexels

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Will AI be good or bad for the climate? Here’s what the latest evidence on energy use suggests

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Francesco Grillo, Bocconi University

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Is AI a climate change villain, whose insatiable hunger for electricity will roast the planet? Or will it help predict where the next climate disaster will strike and what to do about it?

In order to weigh these questions up, a good starting point is with AI’s energy consumption.

The 2015 Paris agreement was a deal among almost 200 countries to keep “the increase in the global average temperature to well below 2°C above pre-industrial levels” and pursue efforts “to limit the temperature increase to 1.5°C above pre-industrial levels”.

Training and deploying AI models takes place in large data centres which use a lot of power. A typical AI-focused data centre consumes as much electricity as 100,000 households. That’s why energy use is at the heart of this question about how AI will affect climate change.

Data centre use rises

But AI’s energy consumption is increasing fast. According to the International Energy Agency, the power used to train large language models (LLMs) and to run them has risen roughly tenfold since ChatGPT was launched in November 2022. And AI data centres of the future will consume far more electricity than they do today, perhaps 20 times more.

Use of AI has grown very fast, and is still growing. Sundar Pichai, the CEO of Alphabet which is Google’s parent company, recently said that Google’s monthly usage of its AI products has increased sevenfold to 3.2 quadrillion tokens (the units of data AI models read and process) since last year.

However, power consumption per AI task is going down. So efficiency is growing. The problem is that our demand for it is also growing. Economists know this as Jevons’s paradox: where technological gains can wipe out efficiencies as they create more use.

AI consumes about 155 terawatt-hours of electricity a year, based on IEA figures, and a third of the energy used by data centres overall. That is a lot. But it is still only about 0.5% of the world’s electricity, and around 0.1% of its total energy use (when we also consider oil, gas and carbon).

However, other factors are also significant. Data centres cluster, and in places where they do, such as Ireland and northern Virginia, they already strain local grids.

How AI is driving energy use.

Can AI help with climate change?

But what about AI’s potential to help with climate change? In 2025, the European Centre for Medium-Range Weather Forecasts put an AI model into use, AIFS, which produces forecasts that improve on traditional physics-based models. It cannot tell you whether rain will fall on your street 30 days from now, but it can assess the probabilities of extreme weather events with much more geographical detail and offer more time to plan ahead.

This massively improves the possibility for insurers to assess risks as well as for government departments to put plans in place to avoid, or mitigate, disasters. It also significantly uses less energy than other physics-based weather forecasting systems.

The bigger prize lies beyond forecasting. The Intergovernmental Panel on Climate Change, the scientific pillar of the UN’s climate machinery, exists “to give governments at all levels the information they need to make policy”. Its reports take years, and not everybody seems convinced that its conclusions are fully independent.

AI could be a powerful lever for the IPCC to better serve its mission. A public AI model (similar to the AIFS) could potentially reduce biases, if used well. And it could do more than forecasting. It could suggest actions as well as describe risks; cover adaptation as well as mitigation; and reach not only government departments but city councils, farmers and households. This would turn global science into a decision-supporting system about which crop to plant or whether to insulate a roof as well as the policy decisions on how to manage energy transition.

That will not happen by itself. We need incentives to make the use of AI more energy efficient.

Here lies the most striking contrast between the two sides of the argument over AI and climate change. The world has a governance mechanism for climate change, however imperfect: the Conference of the Parties (COP), which has met almost every year since 1995. But AI has little more than voluntary codes, occasional summits and a UN scientific panel created only last year.

Could AI’s energy use be less than feared?

A new paper by Vision, the thinktank I direct, has tried to measure both sides of the ledger for AI on climate change. Its findings will feed into Vision’s fifth conference on the global governance of climate change, to be held in Venice from October 15 to 17.

The work suggests that AI’s appetite for energy could be smaller than feared, and its potential is larger. But concludes that neither will matter much unless we learn to govern it.

Whether AI warms or cools the planet could depend less on its chips than on the institutions we build around AI, and how we use it.The Conversation

Francesco Grillo, Academic Fellow, Department of Social and Political Sciences, Bocconi University

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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The Crises We Face Today Are Far Beyond Established Norms

The Crises We Face Today Are Far Beyond Established Norms

Oct 14, 2026

Desert, summer, sand, travel, dry, camel, Sahara, outdoors, scenic, dune, landscape, nature, sunny, aerial, Dubai, water crises, tourism, Rajasthan, environment, climate change, India, orange water, orange travel, orange landscape, orange desert, orange change, orange sand, Dubai, water crises, water crises, water crises, water crises, water crises, climate change by Bhatigajendra via Pixabay

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Mahmoud Mohieldin, UN special envoy on financing 2030 Agenda: ‘The crises we face today are far beyond our institutions’ capacity’

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By Kasmira Jefford
GENEVA SOLUTIONS

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The Crises We Face Today Are Far Beyond Established Norms Economist Mahmoud Moheildin, speaking at the Building Bridges sustainable finance summit in Geneva, on 8 October 2026. (Building Bridges 2026)
Economist Mahmoud Moheildin, speaking at the Building Bridges sustainable finance summit in Geneva, on 8 October 2026. (Building Bridges 2026)

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As thousands of finance leaders gather in Thailand for IMF and World Bank meetings, the Egyptian economist warns that tackling today’s biggest development challenges will require looking beyond the existing international financial system to more localised solutions.

Mahmoud Mohieldin has spent much of his career mobilising financing to tackle the world’s greatest development challenges. A former senior executive at the World Bank and at the International Monetary Fund, he became the UN secretary-general’s special envoy on financing the 2030 Agenda in 2020, just as the Covid-19 pandemic began and further derailed progress towards the Sustainable Development Goals (SDGs).

With less than four years left until the 2030 deadline, the goals remain badly off track. Developing countries face mounting debt burdens, while geopolitical tensions have weakened the international cooperation needed to address them. Mohieldin, who served as Egypt’s climate champion ahead of COP27 in 2022, argues that governments must do more to mobilise national resources, attract private investment and reform international financial institutions. In Geneva to attend the Building Bridges finance summit last week, he spoke with Geneva Solutions about the future of development finance, the upcoming climate summit in Antalya, and what it will take to turn global pledges into practical results.

Geneva Solutions: We’re less than four years from 2030, and the UN’s own figures show that only 36 per cent of SDG targets are on track or making moderate progress. At the same time, development financing is under severe pressure. What has gone wrong and what prospects do you see for the agenda beyond 2030?

Mahmoud Mohieldin: The 2026 SDGs report was really disappointing. Politicians tend to blame global economic shocks, from Covid to the wars in Ukraine and the Gulf. But the 2019 update showed that even then, the world was not on track. Instead, I would blame a lack of leadership; a lack of trust in the global system; limited capacity and capital for multilateral development banks to support development finance for developing economies; and finance ministers’ failure to prioritise the SDGs in their budgets. We have also seen excessive borrowing to the point that many countries now spend more on debt service than on education, health, and essential services combined. This kind of political, economic, and fiscal environment doesn’t really help in achieving any kind of meaningful goal for humanity or the planet.  That said, we cannot ignore some notable successes. We also cannot ignore that China declared the end of extreme poverty, the first goal of the SDGs, in 2020. In 2024, India announced the same, and many OECD and Nordic countries have done well on their SDGs.

Development progress will not end in 2030. We need to start the next decade on a better note. This means more mobilisation of finance, more capacity- building and use of technology, and more incentives, including from governments and key economic agents.  Without adequate finance and preparedness, artificial intelligence could become another source of inequality. Higher energy costs also mean more constraints on the public purse, leaving less money for development finance and for education, health and infrastructure.

The additional financing developing countries need is estimated at around $4 trillion annually. Where does that money need to come from?

We keep talking about the huge $4 trillion-a-year bill to achieve the SDGs, but most of it really is infrastructure-related, and here we need to be more innovative. We need a new architecture for infrastructure finance. We have seen a great deal of myopia in terms of priorities, with the private sector crowded out of many essential logistical projects by governments where they should be crowding it in.

In today’s world, it would be ridiculous to borrow to build your next airport or seaport. That should be the job of public-private partnerships through build-operate-transfer schemes or something like that. Borrowing should be reserved for areas the private sector is not ready to engage in and where public-sector budgets lack sufficient funds.

The UN secretary general race is in full swing. The person who takes over on 1 January 2027 will inherit unfinished SDGs and the job of shaping whatever comes after 2030. Candidates have expressed different opinions on what they would do – where do you stand?

The UN’s primary function is peace and security, and we shouldn’t forget the price we pay for war, hostilities, and the trust deficit. We need to strengthen the interlinkages among the UN’s three pillars: security and peace, humanitarian work, and development. Secondly, humanitarian finance and the humanitarian support system require a revolution. It needs to be built based on adequate insurance mechanisms and prior investment in prevention – and that would require a completely different architecture.

And last but not least, we cannot ignore the role of legacy institutions like the World Bank, regional development banks, and national development finance institutions. The UN’s work should be complementary and provide catalytic resources. It can really help by enhancing countries’ capacity to improve their partnerships with development finance institutions and the private sector.

You were Egypt’s UN climate champion ahead of Cop27 in 2022. We’re now just weeks away from the next summit in Turkey. Has there been a political disengagement from climate action as governments prioritise security, energy and the economy?

The climate agenda was, to a great extent, hijacked by some advanced economies, which focused only on mitigation and decarbonisation and forgot the importance of a balanced approach between mitigation and adaptation, as outlined in the Paris Agreement.

Now, Global South countries have started to hold very strong views that climate action should not be distanced from development action. Climate action is development action, just as climate finance is development finance. If you invest in renewables, it supports energy and SDG 7. If you invest in adaptation, this means water, agriculture and food. These are all part of the SDGs.

Second, there was also more preaching and political motivation pushing the climate agenda rather than reliance on science and practical solutions. Now, people are taking a more pragmatic approach, realising that climate solutions are affordable and serve communities affected by climate change. As FT journalist Gillian Tett has aptly described, the world is moving from greenwashing to greenhushing. In the past, people claimed they were doing more on climate action than they really were. Now they might be doing more, but because of concerns in some jurisdictions, like the US, they are doing it in silence.

COP29 put a $300bn annual climate-finance goal on the table for developing countries by 2035, alongside an ambition to scale overall flows to $1.3 trillion. What needs to happen at Cop31 to make these pledges credible?

The story of these pledges, commitments and delivery is really a sad one. Some people claim the previous $100bn commitment was delivered based on some methodology, but because of double, if not multiple, counting, and the use of dedicated funds for purposes beyond climate action, we never achieved it.

My advice to developing economies is to keep at it. We need to keep monitoring commitments and hold those who promise and pledge to deliver. But there are also many things we can do at home, regionally and nationally, to mobilise funding. We should not limit the work to external financing; we definitely need to do a better job of mobilising finance domestically, locally and regionally.

COP31, hosted by Turkey and Australia, faces difficult questions over fossil fuels. Are you pessimistic about the prospects for meaningful progress on the energy transition?

I’m betting not on Cops. I’m betting on technology. Daniel Yergin, an influential scholar, reminds us in his book, The New Map: Energy, Climate, and the Clash of Nations, that the shift from one energy source to another is primarily a function of technology, not declarations.

The cost of producing electricity from solar or wind today is a fraction of what it was ten years ago. That makes people move towards these sources because it makes economic sense. Technology is telling us that, even if you are stubborn today and resist change, it is upon us.

At IMF and World Bank meetings, global policymakers are set to discuss the huge challenges facing developing countries, from rising debt and energy costs to other crises. Can the international financial system respond?

The crises we face today are far beyond our institutions’ capacity. They have a lot to do with the tough geopolitical environment, which does not make cooperative solutions the first option. We are at a low point in international cooperation.

Many reports offer specific, practical solutions to deal with debt crises, but very few have been fully adopted. We are victims of one of the worst geopolitical moments, with the worst deficits in trust in modern history since the Second World War. That has economic and financial implications.

I see solutions becoming more localised, more nationalised and more regional. If we wait for international institutions to do what they did in the past, we will put a burden on them that, given the tough geopolitics, they will not be able to handle.

What reform of the international financial architecture could make the greatest difference to developing countries?

One major reform would concern voice, governance, agency, and even-handedness in the international financial institutions. That would be a good start to build trust. The weight of developing economies and emerging markets today is very different from their weight in 1945. Changes in shareholders’ agreements, voice, influence and representation have not adequately reflected this, despite some slight improvements. We need to make these institutions more representative, well-respected, relevant and fit for purpose. Otherwise, they will become empty shells, and their relevance will diminish over time.

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Read also: Egypt’s Cop27 climate champion: ‘loss and damage is being ignored’

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MENA-Forum is a global professional services forum that helps consultants, contractors, and clients with their building and/or infrastructure development challenges.

 

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