Artificial Intelligence and Energy – An Accelerating Alliance That’s Changing the Game. New IEA Report Reveals the Growing Impact of AI on the Energy Sector
The International Energy Agency (IEA) Releases Special Report: “Energy and Artificial Intelligence”
The International Energy Agency (IEA) has published a special report titled “Energy and Artificial Intelligence,” shedding light on one of the most dynamic and unpredictable phenomena of recent years. Artificial intelligence is not only revolutionizing how we process data, but also holds the potential to profoundly reshape the global energy system. For the first time, the IEA presents data that comprehensively links the digital technology and energy sectors.
AI – A Driving Force Behind Rising Energy Demand
According to the report, global electricity consumption by data centers is expected to more than double by 2030 – reaching approximately 945 TWh. That’s more than the current electricity consumption of the entire nation of Japan. Artificial intelligence will be the primary driver of this surge. AI-optimized data centers are projected to use up to four times more energy than they do today.
In developed countries like the United States and Japan, the impact will be especially significant. In the U.S., AI and data centers are expected to account for nearly half of the growth in electricity demand. Moreover, by 2030, data processing in the U.S. could consume more energy than the entire domestic production of energy-intensive materials such as steel, cement, and aluminum – combined.
An Opportunity and a Challenge for the Energy Sector
While the rise in energy consumption may raise concerns, the report also highlights opportunities. AI has the potential to improve energy efficiency, reduce operational costs, and support decarbonization – provided that its deployment is wisely managed. In the long term, AI could become a crucial tool for optimizing energy systems, forecasting demand, integrating renewables, and detecting failures.
The report underscores the urgent need to scale up investments in new generation capacity and grid infrastructure. Only by doing so can countries keep pace with growing demand and maintain energy security. Close collaboration between governments, the energy industry, and the tech sector will be key.
Risks: Cybersecurity and Critical Minerals
The increasing role of AI also brings risks. The IEA notes that the number of cyberattacks on energy companies has tripled over the past four years – and they’ve become more sophisticated, often powered by AI itself. At the same time, AI can be used to counteract these threats, making it a double-edged sword.
Another challenge lies in raw materials – data centers and AI devices are driving up demand for critical minerals like cobalt, lithium, and rare earth elements. The supply of these materials is currently highly concentrated geographically, raising concerns about supply chain disruptions and price volatility.
AI Accelerates Innovation
The IEA also highlights a less obvious but essential trend – AI’s growing role in advancing energy technologies. Algorithms are helping to accelerate research into new generations of batteries, solar panels, and efficient energy storage methods.
Dr. Fatih Birol, Executive Director of the IEA, summed it up:
“AI is now one of the most important challenges for the energy sector. It is a tool of enormous potential – but how we use it depends on the decisions we make today.”
What’s Next?
In response to AI’s growing influence, the IEA has announced the creation of a new Observatory for Energy, AI, and Data Centers – a global knowledge hub to monitor AI’s impact on energy demand and emissions. Alongside the report, the IEA has also launched a new AI agent that answers questions about the document’s findings in an accessible way.
The message is clear: countries that want to benefit from AI’s growth must act now. This includes modernizing grids, improving the flexibility of data centers, and deepening collaboration between the technology and energy sectors.
Source: iea.org