The Role of Artificial Intelligence in Addressing Climate Change at COP30

At the COP30 climate summit in Belém, Brazil, advocates are promoting the idea that artificial intelligence (AI) can be harnessed as a tool to combat climate change rather than exacerbate it. Proponents argue that AI can enhance efficiencies in critical sectors such as food production, transportation, and energy management, potentially leading to significant reductions in greenhouse gas emissions. The newly launched AI Climate Institute, a collaboration between various groups, UN bodies, and the Brazilian government, aims to empower developing countries to utilize AI for environmental problem-solving. Maria João Sousa, executive director of Climate Change AI, highlighted the potential of AI in improving weather forecasting and disaster prediction, stating, “I definitely believe (AI) is a positive force to accelerate a lot of these things.”

The Guardian

Despite the optimistic outlook from some experts, significant concerns remain regarding the environmental costs associated with AI. Critics point to the substantial energy consumption required for AI operations, particularly in data centers, which are projected to see electricity demand more than double by 2026. A study from Cornell University warns that the current trajectory of AI growth in the United States could add an estimated 44 million tons of carbon dioxide to the atmosphere by 2030. Jean Su, a climate campaigner at the Center for Biological Diversity, emphasized the need to phase out fossil fuels rather than relying on AI, asserting, “We know what will save us from the climate crisis – phasing out fossil fuels. It’s not AI.”

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The rapid expansion of AI technologies is straining energy resources, with a single hyperscale AI data center consuming as much electricity as a large city. This surge in demand is leading to increased electricity prices, particularly in regions hosting numerous data centers. The International Energy Agency has indicated that AI's energy demand could grow by at least 1000% between 2023 and 2026, necessitating significant investments in new power generation and grid infrastructure. The mismatch between the rapid construction of data centers and the slower development of energy infrastructure poses risks to grid stability and reliability.

Forbes

While some officials and experts advocate for the potential of AI to contribute positively to climate efforts, others caution against a techno-optimistic view. Natascha Hospedales, lead lawyer for AI at Client Earth, acknowledged the potential benefits of AI but noted that its application for good is currently a “really small niche” within a broader industry focused on profit maximization. The federal government is exploring regulatory measures to enhance energy efficiency in data centers, including proposed legislation like the Clean Cloud Act of 2025, which aims to collect data on energy consumption and promote renewable energy sourcing.

The Guardian

Critics argue that the environmental costs of AI are already alarming and that the majority of AI applications are profit-driven, contributing to environmental degradation. They contend that the focus on AI as a solution may distract from more immediate actions needed to address climate change, such as reducing fossil fuel dependency. As Natascha Hospedales pointed out, while AI could assist developing nations, much of its potential remains hypothetical and underdeveloped.

The Guardian

• “Very few places in the world actually run numerical weather prediction models because numerical weather prediction models are very compute-intensive,” — Maria João Sousa, Executive Director, Climate Change AI

The Guardian

• “People have this techno-utopian view of AI that it will save us from the climate crisis,” — Jean Su, Climate Campaigner, Center for Biological Diversity

The Guardian

• “Overall we are very, very far from a situation where AI for good balances out the negative environmental impact of AI.” — Anonymous Environmental Expert

The Guardian

The discourse surrounding AI's role in climate change at COP30 reflects a complex interplay of optimism and skepticism, highlighting the need for a balanced approach to harnessing technology while addressing its environmental implications.

The Guardian