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Synthesis: This paper maps the challenges that generative AI, streaming algorithms, and digital audio workstations pose for music education. Three converging transformations are examined: the changing nature of music creation and consumption, shifts in the public for music shaped by algorithmic curation, and the democratization of music production through digital tools. The paper surveys implications for both curricular content and pedagogical methods, arguing that music education must adapt to a landscape where AI can produce complete, stylistically coherent pieces from text prompts.

Key Findings

This paper maps the challenges that generative AI, streaming algorithms, and digital audio workstations pose for music education. Three converging transformations are examined: the changing nature of music creation and consumption, shifts in the public for music shaped by algorithmic curation, and the democratization of music production through digital tools. The paper surveys implications for both curricular content and pedagogical methods, arguing that music education must adapt to a landscape where AI can produce complete, stylistically coherent pieces from text prompts.

The work contributes to understanding of AI Literacy in educational contexts, with implications for Curriculum Design, Generative AI.

Connected Concepts

  • AI Literacy
  • Curriculum Design
  • Generative AI
  • AI Education
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  • Citation

    Briot, J.-P. (2026). Challenges for Musical Education in the Age of AI and Digital Transformation. arXiv:2608.05176.