Adoption Curve and Determinants for Generative Ghost Technologies

Determine the likely adoption curve for generative ghost AI agents and identify the key factors that will influence their adoption over time, including product features and costs, network effects, legal frameworks, and religious edicts.

Background

The authors argue that systemic societal effects of generative ghosts are hard to forecast. They highlight that beyond technical capabilities, adoption dynamics and broader sociotechnical influences will shape real-world impact.

They explicitly note uncertainty about how quickly generative ghosts will be adopted and which variables—ranging from technical and economic to legal and religious—will govern that trajectory, indicating a need for empirical and theoretical investigation.