We all know AI’s dirty secret: It gobbles up a huge amount of electricity—and spits out a large volume of greenhouse gases in the process. But what if using AI can also save energy?
AI has the potential to drastically slash energy demand across a swath of industries and cut down on their carbon emissions. And it may be so effective, writes The Wall Street Journal (Sept. 16, 2025), that it will easily balance out its own power demands and carbon emissions.
In our blog today, we discuss how AI is remaking transportation, planning routes and timetables.
AI-driven route planning has helped major U.S. freight companies cut fuel use in ground vehicles—in some cases by 5% to 10%—by simply lowering the miles they travel. The whole ground-freight industry could cut its emissions by 10% to 15% by using AI-led dynamic route optimization in all vehicles.

AI can analyze traffic in real time, and is starting to get better at guiding vehicles away from busy areas, reducing the fuel wasted by stop-and-go driving. (Sitting in traffic adds up to a lot of pointless emissions: Americans wasted 3.3 billion gallons of gasoline and diesel fuel in 2022—over 215,000 barrels a day of petroleum).
Also, e-tailers cluster deliveries together to save miles traveled. A crucial form of routing goes on behind the scenes. AI-enabled logistics predicts what goods people will be ordering, and where and when. That way, e-tailers can stock their distribution centers according to probable local demand, which means fewer miles spent on deliveries.
Further, marine freight is using AI to calculate the best times for ships to “slow steam”—lower their speed—which can greatly boost efficiency: A 10% drop in speed cuts fuel use by 20%. Improving traffic at ports can also cut down on wasted fuel. Ships burn as much as 7-10 tons a day of fuel while anchored near ports, waiting for congestion to clear. AI-assisted programs help shippers lower the waiting period by timing their arrivals at port efficiently.
The International Energy Agency says the spread of AI in the transportation sector alone could slash 900 million metric tons of carbon emissions by 2035. In comparison, the agency expects emissions from data-center electricity use to rise to 300-500 million metric tons by 2035, up from 180 million metric tons today.
Classroom discussion questions:
- How might AI be used in the commercial aviation industry?
- How else can AI be of benefit to delivery firms like Amazon?
Dr. Misty Blessley provides monthly guest posts from her position as Associate Prof. of Supply Chain Management at Temple U.
Understands his Customer’s Needs and Wants – by leveraging feedback from “Elves on the Shelve”, predictive analytics and generative AI, he is able to deal with his customer database of over 8 billion records
Professor Howard Weiss, recently retired from Temple U., shares his insights with us monthly.
Quantity Discount: Each of the 130 cars will cost roughly $5.5 million. SEPTA has the option to purchase 30 additional trolleys at roughly $5 million dollars apiece. (Ch. 12)




