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AIModelKit > News > How AI’s Energy Consumption for Low-Quality Content Can Be Reimagined for Climate Action | COP30
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How AI’s Energy Consumption for Low-Quality Content Can Be Reimagined for Climate Action | COP30

aimodelkit
Last updated: November 17, 2025 2:45 pm
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How AI’s Energy Consumption for Low-Quality Content Can Be Reimagined for Climate Action | COP30
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Can Artificial Intelligence Combat Climate Change? Exploring the “AI for Good” Movement

Artificial Intelligence (AI) has often been criticized for its large energy consumption, contributing to planet-heating emissions through processes that sometimes seem frivolous or unproductive. However, at the recent Cop30 climate summit in Belém, Brazil, a group of proponents put forth an intriguing perspective: can AI be harnessed as a solution to the climate crisis rather than a contributor to it?

Contents
  • AI as a Tool for Emission Reduction
  • The AI Climate Institute Initiative
  • Insights from Sustainability Experts
  • The Skeptics Speak Up
  • The Dual-Edged Sword of AI
  • The Future of AI in Climate Solutions

AI as a Tool for Emission Reduction

The “AI for good” argument suggests that artificial intelligence can actually help mitigate emissions across various sectors, including food production, transportation, and energy management. Proponents, including supporters from various organizations and government bodies, argue that AI technologies can improve efficiencies, thus reducing the overall ecological footprint. For instance, optimizing food supply chains can minimize food waste, while smarter public transit systems can reduce carbon footprints.

The AI Climate Institute Initiative

A significant development at Cop30 was the unveiling of the AI Climate Institute. This initiative aims to empower developing countries with AI tools to tackle their unique environmental challenges. By focusing on methods such as optimizing public transportation and recalibrating energy grids for renewable distribution, advocates believe that AI can significantly lower emissions in regions that need it most.

Maria João Sousa, the executive director of Climate Change AI, highlighted the potential of using AI for enhanced weather forecasting. Currently, many places are not equipped with sophisticated weather modeling because such numerical weather predictions require considerable computational power. Sousa believes that AI can accelerate advancements in this area, leading to better preparedness for climate-related disasters like floods and wildfires.

Insights from Sustainability Experts

Lorenzo Saa, Chief Sustainability Officer at Clarity AI, emphasized how AI can be instrumental in monitoring emissions and biodiversity. By analyzing vast datasets, AI can pinpoint where environmental problems are occurring, providing predictions for both short-term crises and long-term trends like sea-level rise. While acknowledging the real concerns surrounding AI’s broader societal impacts, Saa points to studies suggesting that AI could drastically reduce global greenhouse gas emissions over the next decade.

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According to a recent report from the London School of Economics, AI could cut global greenhouse gas emissions by between 3.2 billion to 5.4 billion tonnes, despite its high energy requirements. This figure drives home the potential of AI to make a net positive impact on the environment if carefully managed.

The Skeptics Speak Up

Despite these optimistic projections, not all experts share this enthusiasm for AI as a climate solution. Critics argue that the rise of data centers needed to support AI expands energy consumption significantly, particularly in regions already facing water shortages or pollution. For instance, a recent study from Cornell University predicts that by 2030, the U.S. AI boom could contribute an additional 44 million tons of carbon dioxide to the atmosphere—equivalent to the emissions from 10 million gasoline cars.

Jean Su, a climate campaigner at the Center for Biological Diversity, warned against placing hope solely in technology as a remedy for the climate crisis. “What will save us from climate crisis is phasing out fossil fuels,” she stated, cautioning that relying too heavily on AI might detract from more immediate and feasible solutions.

The Dual-Edged Sword of AI

While AI has the potential to create efficiencies that lower emissions, there’s also the chance that it could optimize fossil fuel production and other environmentally harmful activities. A report by Wood Mackenzie noted the risk of AI unlocking an additional trillion barrels of oil, a scenario that could severely undermine global efforts to combat climate change.

Natascha Hospedales, lead lawyer for AI at Client Earth, acknowledges the merit in the “AI for good” argument but suggests it represents only a small niche within an industry predominantly focused on profit maximization. The early-stage applications of AI as a climate solution remain largely hypothetical, and critics warn that the environmental costs associated with AI development might outweigh its potential benefits.

The Future of AI in Climate Solutions

While there’s potential for AI to help navigate complex climate challenges, the discourse around its environmental impact is multifaceted. As AI continues to evolve, the balance between leveraging its capabilities for good and managing its ecological footprint remains a critical conversation among technologists, environmentalists, and policymakers alike.

This tension highlights the important question: How can we ensure that the deployment of AI technologies supports sustainability rather than amplifying existing environmental issues? As discussions evolve, it’s essential to carefully consider both the promises and pitfalls of this powerful technology.

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