Reveals a roadmap for enhancing AI fluency in non-IT business students, highlighting educational transformation.
Undergraduate business programs face a curricular challenge: students must develop expertise in disciplinary subjects and Professional AI Fluency (PAF) for non-IT students without expanding the curriculum. This paper offers a manifesto and roadmap, proposing an integration architecture for both competencies via two curricular tracks: (1) AI Curriculum for non-IT students, and (2) Subject-Matter Curriculum with AI integration. This approach, based on the EMERALD framework, operates across course, certificate, and program levels. The architecture includes a four-course Applied AI in Business Strategy Certificate, also a BBA concentration. It features four EMERALD levels: Level 1 (Basic AI Literacy); Level 2 (Foundational PAF); Level 3 (Full PAF); Level 4 (Integrated PAF and Human-AI Collaboration). Beyond Level 4, a computer science track focuses on programming and machine learning. The institutional infrastructure includes two libraries of learning objects, managed through a faculty partnership. By the 2026–27 academic year, two Level 3 courses, ECON 3006 using ChatGPT and MRKT 4060 with Google AI, are active. The SUNY Microcredential in Advanced AI for Economic and Business Analysis is available. New courses BUSN 3000 (Level 2 keystone) and BUSN 4050 (Level 4 capstone) are launching. The certificate aims to catalyze program-wide curricular transformation, not just conclude the architecture. Once fully developed, Professional AI Fluency will be achieved at every student level, enabling graduates with baseline AI fluency across non-IT majors, with specialized depth through the certificate. The architecture is a research program to examine AI fluency development in non-IT business professionals. Future papers will document Level 3 course design, capstone pedagogy, and Professional AI Fluency transformation.
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Valeri Chukhlomin (2026) studied this question.
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