D'Addario Denies AI Use in String Demo After Backlash
D'Addario denied using generative AI in a promotional demo for its new extended-range strings after viewers questioned the polished production. Guitar World reported on July 24 that the company said guitars were recorded by musicians while drums and synths were MIDI-programmed; Ultimate Guitar later reported that differences between the original and follow-up clips kept the dispute alive.
D'Addario denied allegations that it used generative AI to create music for a promotional video for its new NYXL HD and XT Dynacore HD extended-range strings. Guitar World reported on July 24 that the company said it does not use AI to make music for its video marketing and acknowledged that presenting the product in a highly polished mix had backfired.
In a follow-up Instagram video quoted by Guitar World and Ultimate Guitar, D'Addario said the guitars were tracked by musicians while drums and synths were MIDI-programmed, with plug-ins and other production used in the mix. MIDI programming and heavy audio processing are established production techniques; neither, by itself, establishes the use of generative AI.
The follow-up did not end the debate
Ultimate Guitar reported on July 26 that viewers compared the company's follow-up demonstration with the original promotion and identified differences between the performances. The outlet said those discrepancies prompted further questions about whether the follow-up proved how the original audio was made. Its report also states that the differences do not establish that the first video used AI.
D'Addario told Guitar World that it would demonstrate the products again in both mixed and raw formats so listeners could compare the strings without the same level of production. The company also said it deleted comments and blocked some users after an employee's personal account was identified and targeted online, framing those moderation decisions as an employee-safety measure.
No retrieved source provides an independent technical audit of the production files, and the official Instagram post could not be retrieved during this audit. The evidence therefore supports a narrower conclusion: D'Addario denied AI use and described a conventional production workflow, while some viewers remained unconvinced by the follow-up material.
Why provenance evidence matters
For brands using polished audio or video to demonstrate physical products, an authenticity dispute is easier to resolve when audiences can inspect source artifacts such as unedited footage, DAW session views, stems and clear disclosures about synthetic assets. A social-media clip can illustrate a workflow, but it is less conclusive than material that shows how recordings, MIDI, plug-ins, edits and any model-generated components were assembled.
The practical issue is not that heavy production is equivalent to AI. It is that processing can obscure what a product demo is intended to reveal. D'Addario's plan to provide both raw and mixed demonstrations addresses that presentation problem without settling every claim made about the original video.
Key Points
- 1D'Addario denied generative-AI use and said musicians recorded the guitars while drums and synths were MIDI-programmed.
- 2Ultimate Guitar reported differences between the original and follow-up clips, but those differences do not prove that the original used AI.
- 3Raw audio, session views, stems and unedited footage provide stronger provenance evidence than a polished social-media demonstration alone.
Scoring Rationale
The story is a useful case study in media provenance, disclosure, and the difficulty of evaluating AI-use claims in heavily produced content. Its direct relevance is strongest for practitioners building or governing generative audio and authenticity workflows, rather than for the broader ML ecosystem.
Sources
Public references used for this report.
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