Developments and Trends in Artrepreneurship and Algorithmic Literacy in the Application of Digital Tools in Art Teaching

Abstract

As of 2026, the integration of digital tools in art education has shifted from supplemental technology to a fundamental transformation in creative ontology. This study utilizes a Human-AI Collaborative Synthesis model to explore global developments and trends in Artrepreneurship and Algorithmic Literacy, with a specific focus on their implications for art teaching in China. Findings reveal a transition toward an "authenticity economy" that prioritizes human authorship, material honesty, and "productive difficulty" as a response to the proliferation of Generative AI. Professional practices are increasingly defined by "workflow-first" integration, where routine technical labor is automated to reclaim time for high-level conceptual inquiry and "Original Vision". Furthermore, the study identifies a shift toward "Agentic AI Literacy," positioning artists as directors of subordinate algorithmic processes to ensure creative sovereignty and resist algorithmic homogenization. In the Chinese context, these trends necessitate a pedagogical pivot toward "agentic agency," the inclusion of artrepreneurship as a core curriculum, and the use of digital tools as instruments for cultural resilience and social advocacy. Ultimately, the study advocates for a "Human-in-the-Loop" model to bridge traditional aesthetic mastery with democratized AI governance.