Global Trade War Could Slow AI Sector Growth, IEA Warns

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The International Energy Agency (IEA) reports that an escalating global tariff war could challenge the emerging data centre sector and slow AI growth, potentially impacting electricity consumption and infrastructure development.

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Global Trade War Threatens AI Sector Growth

The International Energy Agency (IEA) has warned that an escalating global tariff war could pose significant challenges to the nascent artificial intelligence (AI) sector, potentially leading to slower growth and development. Laura Cozzi, the IEA's Director of Technology, highlighted these concerns in a recent interview with Reuters

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Projected Growth and Potential Setbacks

According to the IEA's report, the United States, China, and the European Union are expected to account for 80% of the forecast growth in data centre demand by 2030, with AI use dominating this expansion. However, the agency's "headwind scenario" paints a less optimistic picture, encompassing factors such as slower economic growth and increased tariffs across multiple countries

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Electricity Consumption Forecasts

The IEA's base case scenario projects global electricity consumption from data centres to rise to approximately 945 terawatt hours (TWh) by 2030. However, under the "headwind scenario," this figure could drop to 670 TWh, indicating a significant potential impact on the sector's growth

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United States at the Forefront

The United States is expected to lead in data centre development globally, with these facilities projected to account for nearly half of the country's electricity demand growth between now and 2030. This surge in demand has led to concerns about the accuracy of projections, as tech companies approach multiple power utility providers with massive capacity requests

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Infrastructure Challenges and Risks

The IEA report highlights potential strains on power grids that could lead to project delays, with approximately 20% of planned data centre projects at risk. The high demand for transmission lines and critical grid and generation equipment further reflects these infrastructure challenges

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Geographical Concentration and Bottlenecks

About 50% of data centres under development in the United States are located in pre-existing large clusters, potentially increasing the risk of local bottlenecks. This concentration of facilities in specific areas could exacerbate infrastructure challenges and impact the overall growth of the AI sector

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Collaborative Efforts for Future Growth

The IEA emphasizes the importance of collaboration between tech companies and industry stakeholders to accurately assess the real demand for data centres. This cooperation is crucial for ensuring that AI development has access to the necessary electricity and infrastructure to support its growth

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As the global AI sector continues to evolve, navigating the complex interplay between international trade policies, infrastructure development, and energy demands will be critical for sustaining growth and innovation in this rapidly advancing field.

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