Yeah, half the office space is not being used. The other half is being underutilized. It's bonkers... They're going to be able to sell 75% of this stuff.View on YouTube
As of November 30, 2025, there is no evidence that the U.S. government has already sold about 75% of its unused or underutilized office real-estate footprint, nor even clear, comprehensive data on what share of that excess space has been or will be disposed of. GAO still lists federal real property management as a long‑standing “high‑risk” area, emphasizing persistent underutilization and the continued difficulty of disposing of unneeded buildings, even after new 2024–2025 measures to improve utilization and streamline disposals. (files.gao.gov) Recent legislation and policy—such as extending the Public Buildings Reform Board to 2026 and directing GSA to recommend more sales—anticipate that agencies will shed “millions of square feet” over coming years, but that is a forward‑looking expectation rather than a completed outcome, and it does not quantify any 75% reduction of the existing surplus. (federalnewsnetwork.com) GSA has announced only incremental steps (for example, putting eight more buildings, about 1.5 million square feet, into its sale/disposal process in late 2024), which are significant but small relative to the total federal office portfolio and to GAO’s description of the scale of underused space. (federalnewsnetwork.com) In 2025, the administration also floated lists of several hundred “non‑core” federal buildings (over 440 in one version) as potential sale candidates, but those lists have been revised or withdrawn and refer to contemplated disposals, not completed divestitures, and still do not map cleanly to “75% of currently unused/underutilized office space” as defined in the prediction. (wired.com) Because (1) the prediction uses an open‑ended “will ultimately” time horizon, and (2) available public data do not yet document either success or failure relative to the specific 75% target, there is not enough information at this time to judge the prediction as clearly right or wrong. It remains unresolved rather than disproven, so the most accurate rating is ambiguous.