AI can help the environment, even though it uses tremendous energy. Here are 5 ways how

Concerns about the environmental impact of artificial intelligence are growing, particularly regarding its significant energy and water consumption. However, scientists are actively exploring how AI can enhance energy efficiency and reduce pollution levels across various sectors. According to the International Energy Agency, data centers that support AI accounted for approximately 1.5% of global electricity use last year, with projections indicating that this demand could more than double by 2030. This surge in energy consumption raises alarms about increased reliance on fossil fuels like coal and gas, which are known contributors to climate change. Despite these challenges, the same computing power that drives AI can also be leveraged to optimize energy usage and decrease emissions. For instance, AI can significantly improve building efficiency by automatically regulating heating, ventilation, and cooling systems based on real-time data. Bob French, chief evangelist at the building automation firm 75F, notes that a third of the U.S.'s greenhouse gas emissions stem from buildings. By automating temperature control and ventilation, AI can cut energy consumption by as much as 30%, making it a compelling solution for both large and small buildings. Moreover, AI can enhance the efficiency of electric vehicle charging by scheduling it for off-peak hours when energy demand and costs are lower. This not only conserves energy but also aligns with the integration of renewable energy sources. In California, a pilot program demonstrated how AI-driven charging schedules can capitalize on periods of increased renewable energy supply, benefiting both consumers and the environment. In the oil and gas industry, Boston-based Geminus AI is employing deep learning to minimize methane emissions—a potent greenhouse gas responsible for a significant portion of global warming. By providing real-time recommendations to adjust equipment settings, Geminus can eliminate wasteful flaring and venting practices, which traditionally required extensive manual simulations. Geothermal energy startup Zanskar is also harnessing AI to identify previously overlooked geothermal hotspots, improving the efficiency of drilling operations. Their innovative models have already led to successful discoveries, demonstrating how AI can unlock renewable energy sources that were previously deemed inaccessible. Lastly, Google’s Project Green Light utilizes AI and mapping data to optimize traffic light timing, thereby reducing congestion and associated emissions. With successful implementations across multiple cities, the initiative showcases the potential for AI to significantly enhance urban air quality while decreasing greenhouse gas emissions. As AI technology continues to evolve, experts remain optimistic about its potential to contribute positively to environmental sustainability. "We’re just beginning to uncover the full capabilities of AI," says Juliet Rothenberg, Google’s product director of Earth and resilience AI. The journey towards a greener future may depend on how effectively we can harness the power of AI to address energy consumption and environmental challenges.