Prompting as a New Medium: Greenbergian Medium Specificity and the Iterative Unpredictability of AI Art
Sr No:
Page No:
19-28
Language:
English
Authors:
Samantha Shapiro*, James Hutson
Received:
2026-03-28
Accepted:
2026-05-08
Published Date:
2026-05-21
Abstract:
This article argues that AI prompting should be understood not as a tool, technique, or accessory to image generation, but as
a medium in its own right. Drawing on Clement Greenberg’s theory of medium specificity, it contends that a medium becomes legible
through the operations peculiar to itself, namely, the constraints, affordances, and formal procedures that distinguish it from
neighboring arts. Existing scholarship has asked whether prompting counts as art, whether prompt engineering constitutes a creative
skill, and whether the prompt itself can be aesthetic; however, these accounts often stop short of a sustained theory of prompting as
medium. This essay addresses that gap by identifying the medium-specific property of AI prompting as an iterative exchange
structured by probabilistic unpredictability. Unlike painting, sculpture, or filmmaking, where resistance may be material, embodied,
and progressively masterable, prompting confronts the artist with outputs generated through opaque statistical processes that cannot be
fully anticipated or reasoned with. The prompter therefore works through recursive reformulation, selection, and response, shaping the
work by negotiating deviation rather than executing intention in a linear fashion. This generative interface, rather than any single
prompt or isolated output, constitutes the core artistic practice of the medium. The article further argues that objections concerning
prompt shareability or the instability of AI authorship mistake the art object for the process.
Keywords:
AI prompting, medium specificity, AI art, Clement Greenberg, new media.