According to a recent LinkedIn post from Bidgely, the company is drawing attention to mounting pressures on utilities, including rising costs, higher customer bills, and increasing regulatory expectations. The post cites a misalignment in efficiency spending, noting that income-qualified households represent about 27% of the population but receive only 13% of efficiency program funding.
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The LinkedIn post highlights Bidgely’s view that affordability programs underperform primarily due to data limitations that hinder utilities from accurately identifying and engaging income-qualified households at scale. It suggests that advanced metering infrastructure (AMI) data, combined with AI applied to interval usage data, can help utilities move from broad assumptions to quantifying energy burden at the individual household level.
As referenced in the post, an article from Utility Analytics Institute featuring Bidgely’s CPO discusses how leading utilities are beginning to adopt this data-driven approach. For investors, this emphasis on AI-enabled analytics for affordability and regulatory compliance may signal growing demand for Bidgely’s solutions as utilities seek to improve program targeting, meet equity-related mandates, and manage cost pressures.
If utilities increasingly turn to AMI-based analytics to address affordability and equity gaps, Bidgely could benefit from expanded deployments, deeper customer relationships, and a stronger competitive position in utility analytics. However, revenue impact will depend on utility adoption cycles, regulatory support for data-driven programs, and the company’s ability to differentiate its AI platform in a crowded energy-data market.