Sustaining Digital Infrastructure: Energy Hungry AI Might Also Pay its Way
The energy appetite of artificial intelligence is well known and inspires equal parts investment interest, fear and loathing depending on the audience.
Both digital and energy infrastructure companies are chasing new ways to empower AI factories and language models, while residential customers worry about affordability and sustainability.
Flip the script, however, and research is finding that AI can play a lead role in reducing energy consumption dramatically. A new report by Schneider Electric released Monday estimates that AI-enabled commercial buildings can cut energy use by another 22% compared with traditional control technologies.
This kind of electric bill cost reduction could save the typical commercial building owner from nearly $14,000 to nearly $50,000 per year at current sector utility rates, according to the “AI for Climate: Quantifying the Energy and Carbon Impact of Building Optimization” study released by Schneider Electric at the Climate Week NYC 2026 event this week.
Previous metering and control systems were written in chapters one at a time. AI models potentially can be tireless and enact a never-ending story of response and repair.
“An AI layer on top of a building management system continuously analyzes and contextualizes building conditions, occupancy, weather and equipment performance to identify and execute optimization opportunities that traditional siloed systems may miss,” Pankaj Sharma, executive vice president of software & services at Schneider Electric, said in response to questions from EnergyTech.com.
“The result is a shift from periodic optimization to continuous optimization across systems, helping transform connected buildings into intelligent buildings and close the efficiency gap many organizations face today,” Sharma added.
AI never sleeps and can respond to new data stimuli in a matter of milliseconds, so the story goes. While many on the consumer side fret the electron and water impacts of AI supercomputing, the energy efficiency equation is becoming clearer in counterpoint.
And so are the potentially positive environmental counterpoints, the Schneider Electric research indicates. These AI-enabled building efficiencies, including heating ventilation and air conditioning (HVAC) optimization, could avoid 60 metric tons of carbon emissions annually and some 200 MWh of electricity savings per year within the average mid-sized commercial facility, according to the report.
Schneider Electric has long been involved in building energy efficiency technologies for commercial and industrial facilities.
“What’s noteworthy is that the benefits of having an AI layer wasn't being compared to an unmanaged building, but to an already connected building with modern building management capabilities,” Sharma replied to EnergyTech. “Even from that starting point the AI layer delivered significant additional efficiency gains, with energy reductions of up to 22% in some scenarios. The research presents results as percentage improvements, as the savings have been validated against real-world performance across a range of commercial building types.”
In other terms, the “AI for Climate” report was not comparing new oranges to old apples, so to speak, or against early 2000s-era energy efficiency tools. It is benchmarked against data from commercial buildings with smart metering and thermomotor systems.
Considering that energy can account for 30% of a commercial building’s regular expenses—and that the commercial real estate and built environment sectors contribute between 20 and 30% of greenhouse gas emissions globally—the AI prospect for savings might fight the sustainability battle on two fronts.
“Every percentage point of efficiency counts,” Schneider Electric’s Sharma pointed out. “The exact financial return will vary based on factors such as energy prices, building performance and implementation costs. However, the findings demonstrate that an AI layer in buildings can transform sustainability from a cost center into a business value opportunity. The result is a rare win-win of lower operating costs and lower carbon impact.”
Energy efficiency often has been called the “first fuel” in carbon reduction efforts, but it has frequently been overshadowed by the headline allure of large-scale and distributed energy renewables and behind-the-meter solutions such as battery storage. With many companies and their backers still committed to sustainability goals, Sharma noted, such reductions as 22% in energy use and 30%+ in greenhouse gas emissions still position AI-enabled building efficiency technologies as a powerful opportunity for return on investment at multiple levels.
"AI is putting the power of energy intelligence into the hands of smaller building owners and operators. What once required significant expertise and investment can now be achieved more simply and at greater scale, helping organizations reduce energy waste, lower costs, improve performance, and make smarter decisions with confidence,” Sharma said in a statement.
About the Author
Rod Walton, EnergyTech Managing EditorRod Walton, EnergyTech Managing Editor
Managing Editor
For EnergyTech editorial inquiries, please contact Managing Editor Rod Walton at [email protected].
Rod Walton has spent 17 years covering the energy industry as a newspaper and trade journalist. He formerly was energy writer and business editor at the Tulsa World. Later, he spent six years covering the electricity power sector for Pennwell and Clarion Events. He joined Endeavor and EnergyTech in November 2021.
Walton earned his Bachelors degree in journalism from the University of Oklahoma. His career stops include the Moore American, Bartlesville Examiner-Enterprise, Wagoner Tribune and Tulsa World.
EnergyTech is focused on the mission critical and large-scale energy users and their sustainability and resiliency goals. These include the commercial and industrial sectors, as well as the military, universities, data centers and microgrids. The C&I sectors together account for close to 30 percent of greenhouse gas emissions in the U.S.
He was named Managing Editor for Microgrid Knowledge and EnergyTech starting July 1, 2023
Many large-scale energy users such as Fortune 500 companies, and mission-critical users such as military bases, universities, healthcare facilities, public safety and data centers, shifting their energy priorities to reach net-zero carbon goals within the coming decades. These include plans for renewable energy power purchase agreements, but also on-site resiliency projects such as microgrids, combined heat and power, rooftop solar, energy storage, digitalization and building efficiency upgrades.