AI & Music: How AI Is Changing Music Creation & Creativity

AI & Music: How AI Is Changing Music Creation & Creativity

by Jeff Crume · View the channel on PSI

Humanities, Social Sciences & Thought AI & Society UBDigital and Information technology: general topicsUBJDigital and information technologies: social and ethical aspects
🎙 Jeff Crume 👥 1.8M 📅 October 4, 2026 ⏱ 17 min 👁 68 📄 expert opinion 🧭 2026-10-04
Available in: English (current) Français

Keywords

AI musicgenerative AImusic creationhuman-AI collaborationIBM

Summary

This video, presented by IBM Technology’s Jeff Crume, explores the impact of artificial intelligence on music creation and creativity. It begins with a demonstration of a short musical piece and questions its origin, leading to a discussion of originality and recombination. Crume traces the evolution of music technology from algorithmic composition in the 1950s, through digital synthesis and MIDI in the 1970s, digital audio workstations in the 1990s, machine learning in the 2000s, and deep learning and generative AI in the 2020s. He highlights capabilities such as composing full songs, generating lyrics, modeling singing voices, and cleaning audio, while emphasizing that AI serves as a collaborative assistant rather than a replacement for musicians. The video presents a matrix of human-AI collaboration roles, defines strengths (AI’s scale and infinite patience vs. human feeling and connection), and envisions future developments like AI-driven instruments, personalized playlists, and adaptive game music. The conclusion urges an open-minded perspective, noting that music has always evolved with technology and that AI is simply the next instrument, with the magic coming from human creativity.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides substantial value by offering a historical context for AI in music, which helps demystify the technology and situate it as a natural progression in music production. The argumentation is coherent and well-supported with practical examples, such as the use of AI for generating variations, cleaning audio, and assisting with performance. Crume effectively argues that AI is not a novel form of recombination, but rather a tool that amplifies human creativity, using analogies like blues and jazz to illustrate that imitation and variation are inherent in music. The discussion of human vs. AI strengths (scale vs. connection) is persuasive and avoids extremes, presenting a balanced view that AI will augment rather than replace musicians. The overall reasoning is logical, accessible, and grounded in realistic applications, though it relies more on personal insight than empirical data.

Scientific Rigor, Source Quality, Title Accuracy

The video demonstrates a good level of scientific rigor by tracing the technological evolution of music and referencing key developments like MIDI and deep learning. However, it does not cite specific academic studies or external sources beyond IBM promotional links. The use of personal anecdotes and hypothetical scenarios adds accessibility but reduces the depth of evidence. The title accurately reflects the content, as the video comprehensively addresses AI’s role in music creation and creativity, from historical foundations to future possibilities. The presentation style is professional and consistent with IBM Technology’s reputation for clear educational content. While no conflicting sources are noted, the video’s own assertions are the primary basis for its claims, making it an opinion-based rather than research-based piece.

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Title / Content Match

The title accurately reflects the content, as the video comprehensively explores AI's impact on music creation and creativity, covering history, technical aspects, and collaboration models.

Quality & Reliability

7/10

The video is presented by IBM Technology's Jeff Crume, an experienced expert, and provides a well-structured overview of AI's role in music creation. While it contains some personal opinions, the technical information is accurate and grounded in the historical evolution of music technology. No formal citations are given beyond IBM resources, but the content aligns with established knowledge in the field.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Contribution & Novelties

The video’s original contribution lies in its accessible framing of AI as a collaborative partner in music creation, introducing a clear matrix for human and AI roles in writing, revising, and performing. It also emphasizes the historical continuity of technology shaping music, countering the notion that AI is entirely unprecedented. The content synthesizes known concepts into a practical perspective for musicians and enthusiasts.

Pour aller plus loin :

  • Generative music — Overview of music generated through algorithms and systems, directly relevant to the AI music techniques discussed.
  • Computer music — Historical and technical context of using computers in music composition and performance.
  • Music information retrieval — The science of extracting information from music, foundational for training AI models on audio data.

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Radar Profile

The scores indicate a balanced profile: relatively high on information quantity and quality (7/7), moderate on technical depth (5), and strong on reliability (7) given the expert source. This suggests the video is a solid overview rather than a deep technical dive.

Reliability 7/10