Predictive Slumlording: Algorithms and the Art of the Maximal Rent Hike

What if your landlord wasn't a person, but a profit-maximizing algorithm designed to find the exact rent you can barely afford? The rise of predictive pricing software in rental markets is automating exploitation, turning the search for shelter into a silent, digital auction where your data determines your price. This episode dives into the unsettling reality of "predictive slumlording." Drawing from his own experience as a tenant in New York, host Ibnul Jaif Farabi investigates how these algorithms erase human negotiation and mercy. The software’s sole purpose: to calculate the maximum rent a tenant can withstand before breaking, transforming apartments into vessels for pure, calculated extraction and reshaping the fundamental experience of renting worldwide. Listeners will gain a clear understanding of how this opaque technology functions, the sociopolitical forces enabling it, and its profound human cost. We'll trace the data trails that feed these systems and unravel how the art of the rent hike has become a cold, automated science. #PredictiveSlumlording #RentAlgorithm #HousingTech #TenantRights #SurveillanceCapitalism #RentalMarket #AlgorithmicExploitation #DigitalLandlords Hosted by Ibnul Jaif Farabi. Produced by Light Knot Studios (lightknotstudios.com).