A New Climate Conflict
World and business leaders convening in New York this week face a complex and growing challenge: reconciling the rapid expansion of artificial intelligence with the escalating costs of climate change. The conversation, occurring during New York's Climate Week, is being reshaped by the massive energy requirements of AI and data centers, coupled with the ongoing strain of rising fossil fuel prices due to geopolitical conflicts in Ukraine, Iran, and Venezuela.

The Power-Hungry Infrastructure Behind AI
The rise of AI is not merely a software trend; it is a massive industrial expansion. Data centers, the backbone of modern AI, are energy-intensive facilities that are scaling faster than ever. According to global technology intelligence firm ABI Research, hyperscaler IT load is expected to jump from roughly 24 Gigawatts in 2025 to over 147 Gigawatts by 2035.
- Infrastructure is scaling power and cooling density faster than physical site counts.
- Major hyperscalers are investing billions globally to support AI-optimized facilities.
- Efficiency gains in IT equipment are fighting to offset the sheer volume of increased data center utilization.
- Geopolitical instability continues to drive energy price volatility, complicating green transitions.
Global hyperscalers are investing billions of dollars, and the demand for turnkey, AI-optimized facilities is driving a new phase of global infrastructure development.
— Aitan Zacharin, CEO of Core AI Holdings
Looking Ahead: A Balancing Act
While renewable energy sectors are booming, the pace of climate impacts—evidenced by this summer’s record heat waves, wildfires, and catastrophic flooding in places like Nepal—is currently outstripping the speed at which political systems can react. The challenge moving forward is clear: building the necessary infrastructure for the AI era without compromising global climate commitments. As the IEA notes, energy demand plateaus depend heavily on efficiency improvements, but the risk of supply chain bottlenecks and slower-than-expected clean energy adoption remains a significant variable for the coming decade.
