The Systematic Study of ChatGPT as Curriculum: Instantiating Professional AI Fluency for Economic Strategy

Business educators tasked with equipping non-IT professionals for AI-mediated practice face a structural challenge: a single course must simultaneously develop two curricula, an AI-capability curriculum and a subject-matter curriculum, without an established method for achieving this. This paper proposes such a method. I extend the domain-instantiation pattern of the Professional AI Fluency (PAF) framework, previously demonstrated for marketing (Chukhlomin, 2026d), into a PAF-Domain instantiation methodology for course design, exemplified here for economic strategy in a course structured, AI-curriculum-first, around the systematic study of ChatGPT. The methodology consists of six steps that produce a pillar-by-domain operational matrix; it identifies three anchoring strategies for the competency-reconstruction step: external body adoption, hybrid curation, and de novo invention, chosen based on the competency infrastructure available within a discipline; and it establishes scenario construction as the surrogate mechanism that formal teaching structurally requires in lieu of a real workplace, with adult-learner substitution of real professional context considered a legitimate alternative.