Surging AI energy needs could drive global eco-friendly energy transition: Report
Artificial intelligence is growing at a meteoric rate, requiring a larger share of the world's energy. Powering AI is a vast infrastructure of data centers, cloud networks and computing systems that are fueling a growing energy demand.
In a first-of-its-kind comprehensive report on AI and energy, the International Energy Agency said the global expansion of AI data centers is likely to drive some of the fastest growth in global electricity demand seen in recent years.
"With the rise of AI, the energy sector is at the forefront of one of the most important technological revolutions of our time," IEA Executive Director Fatih Birol said.
The IEA projects electricity demand from global data centers will more than double over the next five years and, by 2030, consume as much as the nation of Japan does today.
According to the report, data centers in the United States are likely to account for almost half of the growth in electricity demand. The report emphasizes that by 2030, the U.S. economy will use more electricity for data processing than for producing all energy-intensive goods combined, such as steel, aluminum, cement and chemicals.

Despite concerns over rising global energy demand, the IEA said their analysis shows positive impacts, like increased productivity, enhanced competitiveness and cost reductions, could outweigh the negative effects. In fact, the growth of AI in the energy sector could even help reduce global energy-related emissions, a reduction that could be far larger than new emissions from data centers, the report found.
While a mix of energy sources will be needed to meet the world's growing data center electricity demands, renewable sources are expected to supply roughly half of the global demand growth over the next five years, according to the report. Data centers may also serve as hubs for new low-emission energy projects. And as AI becomes more integrated into scientific research, the IEA said it could help accelerate innovation in energy technologies such as batteries and solar PV.
For example, leaks are a significant source of methane emissions in oil and gas production. The report said AI can facilitate rapid leak detection so that repairs happen sooner, limiting total emissions. AI could also help reduce transportation-related emissions by choosing the most efficient travel routes in real time, according to the report.
-ABC News meteorologist Dan Peck