AI is dominating the conversation at Climate Week

Climate Week NYC is an annual event held in New York City where world leaders, investors, policymakers, advocates, and journalists gather to discuss climate change and related solutions. In 2026, this event coincided with the UN General Assembly in Manhattan. The discussions this year were notably dominated by the role of artificial intelligence (AI) in climate action. While the event covers a wide range of topics, AI’s influence on climate goals, energy demands, and public perception became a central theme. The timing of Climate Week was significant because it followed a UN report indicating that the world has likely missed the target of limiting global warming to 1.5°C above preindustrial levels, making urgent climate action even more critical.

AI’s relationship with climate change is complex and often contradictory. On one hand, AI is seen as a powerful tool that could help solve climate challenges, such as accelerating research into new energy technologies or optimizing renewable energy systems. For example, AI could assist in discovering new catalysts (substances that speed up chemical reactions) for cleaner energy. On the other hand, AI itself is an energy-intensive technology that contributes to climate change. The rapid expansion of AI, particularly to power data centers for companies like Google, Meta, and Microsoft, has led to a surge in electricity demand. This demand is currently being met largely by burning natural gas (a fossil fuel), which releases greenhouse gases. As a result, some of the biggest tech companies have seen their emissions rise despite their climate commitments.

Investment in climate-related technologies reached $26 billion in the first half of 2026, according to Currence, a finance tracker. This represents a 55% increase compared to the same period in 2025. Much of this funding is flowing into energy technologies that can power data centers, such as nuclear, geothermal, wind, and solar power. Companies like Google, Meta, and others are signing deals with these energy startups to meet the growing electricity needs of AI infrastructure. However, not all climate solutions are benefiting equally. Investments in carbon management (methods to capture and store carbon emissions) and low-carbon fuels (fuels with lower greenhouse gas emissions) have declined sharply this year. These areas are crucial for addressing climate change but struggle to attract funding in the current AI-driven investment landscape.

There is growing skepticism about AI’s role in climate action among both the public and policymakers. UN climate chief Simon Stiell warned that AI leaders are losing public support and social license to operate due to concerns over rising emissions, pollution, and noise from data centers and power plants. Stiell emphasized that tech companies must demonstrate that AI’s benefits outweigh its costs, particularly for the broader public rather than just a small group. This skepticism is fueled by the immediate environmental impacts of AI, such as the construction of new natural gas power plants to meet data center energy demands. These plants have long lifespans, meaning their emissions will persist for decades, further complicating climate goals.