According to a recent LinkedIn post from Bidgely, the company is drawing attention to mounting pressures on utilities, including rising operating costs, higher customer bills, and increased regulatory expectations. The post highlights that income-qualified households are estimated to represent about 27% of the population yet reportedly receive only 13% of efficiency spending, suggesting current affordability programs may be underutilizing available impact.
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The post suggests that advanced metering infrastructure (AMI) data, combined with artificial intelligence, could enable utilities to identify household-level energy burden more accurately and at scale. By referencing an article from Utility Analytics Institute authored by Bidgely’s chief product officer on how leading utilities are shifting toward data-driven affordability strategies, the post implies ongoing industry interest in analytics solutions, which may support long-term demand for Bidgely’s offerings and strengthen its positioning in the utility analytics segment.