Did AI win after all?

Algorithmic platforms are reshaping how people work and how human activity is rendered intelligible within data‐intensive systems. This paper argues that Heidegger's philosophy of technology, specifically Ge‐stell (enframing) and Poiesis (bringing‐forth), offers information science a conceptual vocabulary for understanding both algorithmic forms of control and the forms of resistance that emerge from within them. “Did artificial intelligence (AI) win after all?” serves as the paper's organizing question, while the analysis concerns more specific configurations of algorithmic management, platform infrastructures, and datafication rather than AI in general. Reinterpreting published case studies of GoJek motorbike drivers in Indonesia and Shipt delivery workers in the United States, we develop an interpretive heuristic relating distinct manifestations of Ge‐stell to distinct forms of Poiesis . In the GoJek case, algorithmic discipline is met by embodied, communal resistance; in the Shipt case, algorithmic opacity is met by informational, data‐centered resistance. We present this relationship as a provisional sensitizing proposition for comparative inquiry, not as a predictive generalization. The analysis shows how information scholars can study resistance as the emergence of alternative modes of revealing within algorithmically mediated environments and suggests directions for future empirical comparative research on platform labor. So far, AI did not win after all.