Have we already lost it? Geoprivacy in the age of AI, uncertainty, and corporate gatekeeping

Geoprivacy is often framed as a problem of protecting coordinates, masking traces, or managing user consent. This framing is now insufficient. In an era of pervasive datafication, AI-enabled inference, platform dependence, and corporate control over location and mobility data, the central question is no longer whether exact locations can be hidden, but whether meaningful control over location-derived knowledge remains possible at all. This paper asks: have we already lost geoprivacy? We argue that geoprivacy has not disappeared, but its conditions have fundamentally changed. Location data are now continuously produced through everyday digital participation, linked across platforms and modalities, and transformed by machine learning, large language models, and agentic systems into sensitive inferences about identity, behavior, association, vulnerability, and future action. At the same time, risks and protections are unevenly distributed: privacy increasingly functions as socioeconomic, political, and institutional privilege, while marginalized communities, sensitive places, non-human environments, and collective forms of knowledge face heightened exposure and risk. These challenges are intensified by corporate gateke eping, regulatory lag, harmful defaults, limited transparency, and epistemic blind spots within existing geoprivacy norms and directions. We therefore reposition geoprivacy as a socio-technical, legal, institutional, and political problem, not merely a technical one. Looking forward, we outline responsibilities for policymakers, researchers, communities, and industry, including privacy-protective defaults, regulation of spatial inference, public-good data governance, geoprivacy literacy, cyber-threat exercises, and community-controlled infrastructures. Rather than declaring geoprivacy lost, we argue that it must be continually renegotiated as a moving boundary, one that requires GI science to act not only as a technical field, but as a bridge between spatial reasoning, governance, justice, and democratic control over location-based data and futures.