String maker D'Addario has admitted that Suno Studio was used to regenerate the audio in a July 29th promotional video, ending nearly 2 weeks of denials that saw the company blame everything from export quality to plugin artifacts. The confession came not as a fresh statement but as a silent edit to the original Instagram post, published 5 days ago — 10 days after the video first went live. The company also apologized for blocking critics and deleting comments during the dispute.
The video was meant to demo a new set of strings built for extended-range guitars and low tunings. Listeners immediately flagged the track as suspicious, and the pushback escalated when D'Addario posted what it claimed were the Logic recording sessions behind the demo. The melodic and rhythmic content in the session files did not match the finished track.
Guitarist and YouTuber Rhett Shull obtained the Logic project files directly from D'Addario and walked through them publicly. Even in a charitable read, Shull concluded Suno had almost certainly been used somewhere in the pipeline, most likely to regenerate an existing recording into the polished version that shipped.
Key facts
- 01D'Addario denied AI involvement in its July 29 demo video for nearly 2 weeks before admitting Suno Studio was used to regenerate the track.
- 02The admission came via a silent edit to the original Instagram post 5 days ago, 10 days after the video first went up.
- 03The company blamed low-quality exports, Autotune artifacts, and AI mastering tools from LANDR and Logic before conceding.
- 04D'Addario now says it will require employees and creative partners to disclose any use of generative AI going forward.
- 05Guitarist Rhett Shull obtained the raw Logic session files from D'Addario and concluded Suno was likely used to regenerate an original recording.
D'Addario's edited post lays out the reversal in plain terms.
“We got this wrong. We've completed a full review and confirmed that Suno Studio was used to regenerate the original track. We shared inaccurate information, and we're truly sorry …”— D'Addario, Company statement on Instagram
Before conceding, the company offered a rotating set of explanations: that low-quality exports had introduced digital noise, that stacked plugins including Autotune were producing the odd artifacts listeners were hearing, and that AI-assisted mastering from LANDR and inside Logic accounted for the rest. None of those held up once the raw session files were in outside hands.
The moderation piece is arguably as damaging as the AI use itself. Users who flagged the track as suspect had their comments removed and their accounts blocked from the page, a pattern that turned a technical dispute into a credibility problem. The updated post apologizes for that response specifically.
The company also spelled out a policy change.
“We do not support AI-generated music, and our process will reflect that going forward. We'll require our employees and creative partners to disclose any use of generative AI, and we'll more closely review everything we put into the world.”— D'Addario, Company statement on Instagram
The episode lands in a guitar world already primed to argue about AI. Fender's CEO recently drew backlash for comparing human bandmates to analog AI, and Suno itself said on August 7 that it would begin scanning outputs for copyright infringement. Spotify said on August 11 it would stop recommending music from what it called AI personas. Rapper Fenix Flexin, meanwhile, has stopped denying that AI was used to make the track Rubberz.
Suno Studio is the point in this story worth pausing on. It is not a mastering assistant or a noise-reduction tool — it is a generative model that outputs full musical performances. Using it to regenerate a string demo means the audience was hearing a model's rendition of guitar tone, not the strings the video was selling. For a company whose product is the physical string vibrating on the recording, that is the exact wrong tool to reach for.
The disclosure requirement D'Addario is now imposing on employees and creative partners is the piece other instrument brands should watch. Generative audio tools are cheap, fast, and already embedded in the workflows of the freelance video producers most gear companies hire. Without a disclosure rule, the D'Addario situation is repeatable at any brand that outsources its social content.
For Suno, the story cuts two ways. The model is clearly good enough that a professional-adjacent demo passed internal review at a major instrument company, which is a capability data point. It is also now attached to a public embarrassment for a customer, which is the kind of reference nobody in the generative audio space wants. Expect the next round of B2B generative music pitches to lean heavily on watermarking and provenance features that let clients prove, not just claim, that a track is human-played.
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