A new war between the United States, Israel, and Iran began on February 28, 2026, and oil prices jumped fast, from around 67 dollars a barrel to nearly 112 dollars within weeks, before easing to about 80 dollars by June. That is a much bigger shock than the shorter Israel-Iran clash in June of 2025, when the price bump was closer to 10 to 15 dollars a barrel and faded within days once a ceasefire held. This time the higher prices have stuck around, and any company that depends on fuel, plastics, or global shipping is feeling it.
That spike sits on top of a trend that started back in 2022: energy costs have been grinding higher for years, squeezing margins hardest in cement, chemicals, and metals, which together make up most of global industrial energy use. Even businesses without factories, like food processors and retailers, feel it through their supply chains.
New research on manufacturers points to a clear pattern among the companies handling this best. It is not about buying one new machine or installing one solar panel. It is about building a habit: tracking how much energy every part of the business uses in close to real time, and acting on that information constantly instead of once a year.
Swiss chemical maker Clariant shows how this works. It pulls data from 80 factories into one system and used it to cut the energy needed to make goods at one plant in China by roughly half over a few years. A generative AI tool it built compares current energy use against past patterns, which once caught a heating system in Germany quietly burning through extra steam.
Industrial group Georg Fischer combined efficient machinery, waste heat recovery, and rooftop solar. One of its plants cut emissions tied to fossil fuels by about 63 percent in under five years, and the company now sources most of its electricity from renewable sources, which makes next year's power bill easier to plan for than one tied to oil.
The bigger equipment makers are turning this into a business of its own. ABB says cement customers using its AI monitoring tools run 15 to 18 percent more efficiently, and its data center clients are up to 25 percent better. Machine tool maker DMG Mori has cut energy use on its equipment by more than 30 percent on average, mostly by shutting off machine parts that do not need to run nonstop.
None of this is a side project anymore. The market for energy management software is worth around 16 billion dollars this year and is expected to roughly double by 2032, which tells you real money is chasing this, not just sustainability reports.
Here is the part worth sitting with. The same AI tools helping factories cut power use also run on enormous amounts of electricity, and data center capacity is expanding by roughly 20 percent a year. Even in the best case, the International Energy Agency estimates AI could unlock energy savings of about 8 percent across industry by 2035, real, but nowhere near enough to offset how much power AI itself is starting to consume.
None of this depends on guessing what happens next in the Middle East or where oil goes from here. Energy that is tracked, questioned, and redesigned costs less no matter what the headlines say. Companies building that habit now will handle the next shock, whenever it lands, far better than those still finding out how much power their machines use only when the bill arrives.