AI reduces maintenance costs by 25–30% through predictive monitoring in smart buildings. (Source: JLL and PwC, 2025)
The mechanism: IoT-integrated monitoring + AI forecasting catches issues before they become repairs. A failing HVAC unit that would cost $8,000 in an emergency gets serviced for $600 when caught early.
For any portfolio of meaningful size, those savings compound quickly.
What's your current reactive vs. preventive maintenance split?
That ratio tends to reveal a lot about how much runway there is for this kind of operational improvement. Would love to hear where other operators in this group are sitting on that.
Worth noting for anyone doing the math: the 25–30% figure is on maintenance costs.
The hidden multiplier is on asset lifespan. Units that are maintained predictively have measurably better long-term capital expenditure profiles... fewer major replacement events, better condition at refinancing, stronger appraisal outcomes.
That's a number that doesn't show up in the monthly maintenance budget but absolutely shows up at disposition.
Anyone tracking this across their portfolio? Curious whether the industry is connecting those two data points yet.