AI-Optimized Master Scheduling Cuts Costs Without Layoffs — Lubbock and Edgewood ISDs, Texas

Facing enrollment decline, the end of pandemic-era ESSER funding, and rising numbers of students with disabilities and multilingual needs, Lubbock Independent School District and Edgewood Independent School District (San Antonio) adopted AI-optimization tools to analyze scheduling scenarios and rebalance class sizes and teacher workloads against actual enrollment.

In a first-person account published in The 74 (October 2025), Lubbock's chief academic officer Misty Rieber and Edgewood's assistant superintendent Kimberly Gilmore-Madkins reported combined savings of $2.2 million across 14 Lubbock schools and $1.05 million districtwide in Edgewood, achieved without laying off a single teacher. Lubbock used the process to inform a board-approved consolidation of under-enrolled campuses, including the closure of Hodges Elementary and mergers of Overton Elementary into Rush Elementary and O.L. Slaton Middle into Dunbar College Academy and Atkins Middle. A parallel example: Austin ISD partnered with vendor Timely to audit 33 middle and high school master schedules, saving an estimated $2,600 per campus and at least 50 scheduler-hours during the 2024-25 pilot year.

The savings figures for Lubbock and Edgewood are self-reported by the district officials who championed the tools, in an opinion-style account rather than an independently audited report; no controlled study isolates the AI tool's effect from other concurrent budget decisions, and no student learning outcomes have yet been measured.