Fender CEO's 'analog AI' bandmate comments deepen guitar community backlash

Fender CEO Edward "Bud" Cole gave an interview to T3 magazine in May to celebrate the 75th anniversary of the Telecaster, but his comments on AI and music have only recently resurfaced and intensified existing backlash against the company. Cole's remarks come at a particularly fraught moment: Fender has been sending cease-and-desist letters to guitar builders claiming copyright of the Stratocaster body shape—a move that has angered the guitar-building and playing community broadly, with some influential guitar YouTubers announcing they will no longer buy Fender products.

In the T3 interview, Cole articulated a philosophy that "AI has existed in music as long as there's been recorded music." He identified cover songs as a primary example of this "analog AI," arguing that musicians who play songs written by other artists are essentially doing what modern generative AI does. Cole pointed to his own experience: "I listened a lot to REM, U2, The Smiths and The Cure, and at some point I got sick of just listening to them. I wanted to play it, so I learned to play guitar." Beyond covers, Cole extended the analogy to bandmates. He suggested that when a musician brings a chorus or riff to a band and the drummer or bassist adds to it to create a song, the bandmates are functioning as a form of AI, performing the same collaborative role that generative AI could play. Cole went on to claim that "AI is actually going to help create a whole new world of guitar players that use it. To help connect with other musicians, to be more productive. And across the chasm into becoming a student of songwriting to a master of songwriting."

Cole's framing attempts to normalize AI in music by drawing equivalence between human learning and AI model training. However, the analogy collapses under scrutiny. Generative AI models like Suno train on suspected millions of songs, a dataset no human could absorb in a lifetime; human musicians, by contrast, internalize a small number of influences through physical practice and emotional connection. More fundamentally, human artistry involves countless tiny decisions—emotional responses to happy accidents, compensations for physical limitations, taste, and instinct—that flow from lived experience and consciousness. A bandmate, particularly one with formal training like a jazz-educated bassist, brings taste, judgment, and unique creative instincts shaped by their own background. An AI model, by contrast, generates output based on pattern-matching in its training data without consciousness, emotion, or the serendipity that comes from human physicality and error. As guitarist Samurai Guitarist noted, the tiny errors and physical quirks unique to each human player prevent perfect replication and create unexpected creative moments that an AI cannot replicate.

Cole's assertion that AI will help musicians leap "across the chasm" from student to master songwriter also contradicts evidence about skill development. Mastery in songwriting traditionally requires writing many bad songs before learning to recognize good work—a process of repetition, failure, and internalized judgment. Relying on AI-generated suggestions for rhymes or metaphors sidesteps this essential learning curve and may actually lead to deskilling rather than advancement. For a guitar community already anxious about AI's impact on artistry and already angry at Fender over copyright enforcement against builders, Cole's comments read as a failure to grasp or respect the creative process his own customers value. Fender did not immediately respond to requests for comment or clarification on the interview.