Fender’s CEO seems to think your bandmates are just analog AI

Fender chief executive Edward “Bud” Cole has drawn fresh attention after remarks about artificial intelligence and music resurfaced online, adding to criticism already directed at the guitar company. In an interview published in May to mark the Telecaster’s 75th anniversary, Cole presented AI as a possible extension of familiar musical practice. His comparison of learning cover songs and collaborating with fellow players to forms of “analog AI” has prompted a sharp response from guitarists and other musicians.

The comments had initially attracted little notice. They began circulating more widely as Fender faced a separate dispute over cease-and-desist letters sent to instrument builders concerning the Stratocaster’s body shape. The two issues have become linked in online discussion, where some prominent guitar-focused video creators have said they will no longer buy Fender products. The renewed debate has put Cole’s account of AI-assisted creation under closer scrutiny.

Cole’s central argument is that technology is not introducing an entirely unfamiliar idea into music. He said recorded music has long involved something comparable to AI, and described guitar playing as having two hurdles: first acquiring the ability to play, then learning to compose. For people who cannot yet write their own material, performing songs made by admired artists can serve as an entry point, in his view.

He illustrated that point with his own early listening, naming R.E.M., U2, the Smiths and the Cure. Cole said that repeated listening eventually led him to want to play the music himself and to take up guitar. He characterized the act of absorbing songs and recreating them as a longstanding analogue counterpart to AI. The framing treats cover performance as a stage in which players learn patterns and influences before attempting original work.

Cole applied the same analogy to the work of a band. A songwriter may arrive with only a riff or chorus, while a drummer or bassist contributes additional ideas that help turn the starting point into a finished song. He argued that an AI tool could sometimes fill a comparable supporting role. In his account, such systems could help users move beyond repeating existing songs and begin working through ideas in a band-like way.

That is also the point at which opponents see a crucial distinction. A person learning several songs is not the same as a system trained on a vast collection of copyrighted recordings. The scale of material available to generative models is far beyond what an individual musician can study or retain. Critics also argue that equating the two overlooks the choices involved in human songwriting, including decisions shaped by experience, emotion, mistakes and practical limitations.

Musicians’ contributions can be especially difficult to reduce to the language of inputs and outputs. A player brings technical habits, physical constraints and a personal history to a rehearsal, along with preferences that can change the direction of a song. Small variations or errors may become part of a recording rather than something to eliminate. Those skeptical of Cole’s analogy say these qualities are not interchangeable with a model responding to a prompt through patterns in its training material.

Cole nevertheless described AI as a means that could help create “a new world of guitar players.” He said it might make musicians more productive, help them connect with others and support people moving from songwriting students toward greater mastery. That promise reflects a broader question for music technology: whether tools that make it easier to generate ideas will encourage new creative work or substitute for the slower process of developing craft.

The dispute is unlikely to be settled by the wording of one interview. It instead highlights unresolved questions about authorship, training data, copyright and the value musicians place on collaboration. Fender did not immediately provide a response or clarification when asked about Cole’s statements. Attention will now be on whether the company addresses the concerns raised by players, and on how musicians respond to AI tools presented as collaborators rather than replacements.

Source: The Verge