Abstract The Permian Basin is one of the largest methane sources in the United States, yet quantifying emissions at scales needed to attribute them to specific infrastructure remains challenging. Here we present a methane flux inversion from 2018 through 2025 using TROPOMI retrievals and a machine learning surrogate for atmospheric transport (FootNet). We estimate emissions at 1 × 1 km2 ${text{km} }^{2}$ spatial resolution and weekly time resolution over the Permian Basin, jointly solving for background concentrations. We find total Permian Basin emissions of 2.6 ± $pm $ 0.5 Tg/yr (structural uncertainty range: 1.7–3.2 Tg/yr), a factor of 2.4 higher than the EPA inventory, with strong spatial correspondence to gas wells, pipelines, storage tanks, compressor stations, and processing facilities. Permian sub‐basins have distinct drivers of methane emissions: gas wells in the Delaware, midstream infrastructure in the Midland. Despite a 2–3× increase in production, total emissions remained stable, driving a decline in methane intensity from 5% to 2%.