Key facts

• Fender CEO Edward "Bud" Cole gave an interview celebrating the Telecaster's 75th anniversary, with comments on AI and music that later resurfaced online.
• Cole said cover songs have functioned as "analog AI" and compared bandmates to another analog form of AI that helps turn simple riffs into full songs.
• The comments arrived as Fender deals with a separate backlash over cease-and-desist letters sent to guitar builders, claiming copyright over the Stratocaster body shape.
• Critics say the comparison ignores the massive scale of AI training data and the irreplaceable human elements of taste, instinct, error, and lived experience.
• Cole also predicted that AI would create a new generation of guitar players and help songwriters grow, but evidence suggests AI reliance may lead to deskilling.

Background

Fender's CEO, Edward "Bud" Cole, has found himself in the middle of a heated debate about artificial intelligence and music after old interview comments began circulating widely. In May, Cole sat down for a discussion tied to the 75th anniversary of the Telecaster, one of the most iconic electric guitars in history. The interview did not make much of a splash at first, but the comments later picked up momentum online and quickly became another headache for a company already dealing with angry guitar players.

The resurgence of the interview came at a delicate moment for Fender. The brand had recently drawn the ire of much of the guitar-building community by sending cease-and-desist letters to independent luthiers, claiming copyright protection over the Stratocaster body shape. Many builders and players saw the legal pressure as an overreach by a corporate giant. Influential guitar YouTubers publicly announced that they would no longer buy Fender products. The resurfaced AI comments only made the situation worse, deepening the disconnect between the company and some of its most vocal fans.

What Cole said

Cole's core argument was that artificial intelligence in music is nothing new. He said that "AI has existed in music as long as there's been recorded music." He acknowledged that the biggest barrier to learning guitar is the time investment, but he focused on what he described as the second barrier: writing original songs.

In that context, Cole described cover music as a sort of "analog AI." He explained that people who have not yet developed the skills to write their own songs can play songs written by their favorite artists. He shared his own path as a guitar player, recalling that he listened heavily to bands and eventually wanted to play their music himself. He said that learning to play guitar came out of getting sick of just listening to the music he loved.

Cole went further by suggesting that bandmates represent another analog form of AI. He argued that a person might start with only a chorus or a riff, and then a drummer or bassist adds to that idea until a song is born. In his view, AI can perform a similar role. He said he believes music is "on the brink of freeing up people to move beyond the same old covers" and to work creatively in ways that resemble collaborative band dynamics.

Why the comparison is drawing fire

Many musicians and observers found the comparison between human learning and machine learning deeply flawed. One of the first problems is scale. A person may spend years listening to and learning dozens, or even hundreds, of songs. A generative AI model used in music production, by contrast, is often trained on datasets containing millions of songs. Some of the most popular AI music generators are suspected of using copyrighted material on a scale that no individual could ever hope to match.

Another issue is the nature of human creativity. Songwriting involves countless small decisions, many of them conscious and many of them not. A musician might be guided by an emotional response, react to a happy accident, or find a way to work around a technical limitation. These moments are deeply personal and reflect the artist's unique physicality and life experience. No two humans hear a piece of music in exactly the same way, and no two players perform a piece exactly the same way.

The guitarist known as Samurai Guitarist, Steve Onotera, made a similar point in response to the interview. He emphasized that a player's physicality and the tiny errors that every human is prone to make prevent them from replicating someone else's work perfectly. That kind of serendipity, he argued, cannot be reproduced by a large language model. The small imperfections, the variation in touch, and the instinctive choices that happen in the moment are part of what makes live and recorded music feel human.

Bandmates are not chatbots

The second part of Cole's analogy also struck many people as insulting to musicians. A human bandmate brings a personal history, a distinctive set of influences, and a physical relationship to their instrument. A bass player who studied jazz composition in college will hear a song differently from someone who grew up playing punk rock. A drummer with a background in Afro-Cuban rhythms will approach a groove differently from a drummer trained in rock. Those differences shape the music in ways that a machine cannot replicate.

Cole spoke as if the creative exchange between musicians is just a data-processing exercise, but collaboration is not the same as prompt-based generation. When a guitarist brings a half-finished riff to a band, the drummer responds with something shaped by instinct, experience, and the feeling of the moment. No two rehearsals are ever identical. The bassist might be in a bad mood, the drummer might be tired, or the singer might suddenly try a different melody. These are unpredictable, human realities that no AI system has experienced.

Comparing a bandmate to an AI model also raises a more philosophical objection. AI has never been left at the altar. It has never felt heartbreak, joy, frustration, or the strange thrill of stumbling into a perfect chord change by accident. It has never stayed up all night obsessing over a pre-chorus transition. Those experiences, and the emotions attached to them, are part of what gives songwriting its depth. Reducing that process to "analog AI" forgets why music matters to people in the first place.

The future of AI and guitar playing

Cole also made predictions about the future of AI in music. He said he believes AI will help create a new world of guitar players who use the technology to connect with other musicians and become more productive. He described a kind of journey from being a student of songwriting to becoming a master of songwriting, with AI helping people cross that gap.

That optimistic view is not shared by everyone. There is growing evidence that reliance on AI tools can lead to deskilling. If a songwriter uses an AI to suggest rhymes, metaphors, or chord progressions, they may not develop the internal vocabulary needed to solve those problems on their own. The repetition of writing bad songs, learning from mistakes, and pushing through creative blocks is part of the craft. Many skilled songwriters believe you have to write 100 bad songs, or 1,000, or even 10,000, before you write something good. Shortcutting that process can leave a musician with a polished output but without the underlying skills to recognize why something works.

The broader industry reaction

The backlash to Cole's comments did not happen in a vacuum. The guitar industry has been wrestling with questions about authenticity, technology, and tradition for years. Fender's history is built on the idea of empowering players to express themselves through instruments like the Telecaster and Stratocaster. For many fans, hearing the company's CEO describe a human bandmate as a form of AI felt like a betrayal of that legacy.

The legal controversy over the Stratocaster body shape also left a bitter taste. Independent builders often see themselves as part of a broader ecosystem that keeps guitar culture vibrant. When a major manufacturer sends cease-and-desist letters, it can feel like a threat to the small-scale craftsmanship that many guitar players admire. The CEO's AI comments did not cause that fight, but they added a layer of ideological tension to an already emotional story.

The interview and its aftermath show how difficult it can be for a legacy brand to navigate the rapid changes brought by artificial intelligence. On one hand, companies want to embrace new technology and present themselves as forward-looking. On the other hand, musicians are understandably wary of a technology that could devalue their labor, use their work without permission, or reduce the deeply human act of making music to a mechanical process.

Cole's remarks have become a rallying point for those who believe that human creativity cannot be reduced to training data. Learning a cover song is not the same as ingesting millions of recordings. Playing with a band is not the same as prompting a model. The distinction may seem obvious to many musicians, but the fact that a major industry leader has to be told that is exactly why the debate is so heated. The conversation about AI in music is far from over, and Fender's CEO has become one of its most unlikely central figures.

Source: The Verge News