In a move that has sent ripples through the hip-hop community, Fenix Flexin has effectively confirmed the use of artificial intelligence in the creation of his track Rubberz, walking back weeks of vehement public denials. The admission, buried in a reply to a comment on his own Instagram post, reframes not just the controversy surrounding a single song, but the broader, increasingly fraught conversation about what constitutes authenticity in modern music production. Fenix Flexin confirming using AI to make Rubberz represents a significant moment, not because the technology was used, but because of the sharp and telling contradiction between his past insistence on human-only craftsmanship and his current embrace of the tool.
The Instagram Exchange That Changed Everything
The pivot came in response to a fan who drew a comparison between Fenix and Tyga, the latter having recently admitted to relying on AI for his own controversial 1980s-influenced album $tarface. In a direct reply on one of his Instagram posts, Fenix abandoned the defensive posture that had characterized his previous public statements. Instead of offering another denial or a clip from a Pro Tools session, he offered a candid, almost philosophical justification.
never said I didn’t use AI , i said it had nun to do w recording process . I didn’t even know what da app was till we mixed it and erbody started commenting . ain’t nothing wrong w using new technology as a tool keep up w the times or get left behind
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The language is telling. Fenix draws a careful distinction between the recording process and the final product, arguing that the AI was applied after the core vocal performance was captured, during mixing. This frames the use of the technology not as a replacement for his artistry, but as a post-production enhancement, akin to a new kind of plugin or effects processor. The admission, however, directly contradicts a series of earlier, more categorical statements made by the rapper and his team.
From Denial to Defense: Tracing the Shift in Narrative
The journey from outright denial to qualified acceptance is the most revealing part of this story. In the weeks following the release of Rubberz, Fenix and his camp engaged in a multi-front campaign to dispel the AI allegations. They posted what they claimed were clips of the raw recording session files, showing audio waveforms and track arrangements. In the comments section, representatives insisted that the song was made by two humans recording in a living room, using only Pro Tools, auto-tune, and some reverb. Perhaps most tellingly, Fenix personally claimed he was actually singing in clips where listeners pointed out it appeared he was lip-syncing, sending followers to a YouTube link in an attempt to prove his vocal authenticity.
This aggressive counter-narrative makes the Instagram confession all the more significant. It reveals a strategic retreat from a position that had become untenable. The evidence of AI manipulation, likely identified by a community of fans and audio engineers who have become adept at spotting the digital tells of machine-generated sound, was apparently overwhelming enough that continued denial posed a greater reputational risk than the admission itself. The shift from “we didn’t use it” to “we used it, but it didn’t affect the recording” is a fine line, but it is a line that Fenix has now publicly drawn.
What Is the Specific AI Tool at the Center of the Controversy?
While Fenix did not name the specific “app” he referenced in his reply, industry context points toward vocal modeling and stem separation software. The most common tools in this category include platforms like Kits.ai, Voice-Swap, or various unofficial open-source vocal models trained on specific artists. These tools allow a producer to take a dry vocal recording and transform its timbre, pitch articulation, and even pronunciation to mimic another voice or to clean up a performance in ways that go far beyond traditional auto-tune.
Fenix's comment that he “didn’t even know what da app was till we mixed it” suggests the tool was employed by his production or mixing engineer as a part of the final polish. This is a crucial distinction. In the world of audio engineering, the mixing stage is where individual tracks are balanced, effects are applied, and the final sonic signature of the song is established. If an AI voice model was applied at this stage, it would transform the character of the recorded vocal, potentially changing how the listener perceives the performance. The tech community has debated whether applying such a model constitutes a production effect akin to reverb or a fundamental alteration of the original artistic input.
The Tyga Precedent: A Comparative Analysis of AI Admissions
The catalyst for Fenix's confession was a comparison to Tyga, whose album $tarface faced its own firestorm over AI use. Tyga's approach was different; he was more upfront about the technology from the outset, framing it as an experimental tool to achieve a specific retro-aesthetic. The 1980s vibe of $tarface was, in part, generated through AI-powered vocal processing and sound design. Tyga faced backlash, but he weathered it by positioning himself as an early adopter.
Fenix's situation is distinct because of the attempted cover-up. The authenticity of the human performance is the core product in hip-hop. When an artist first claims a performance is completely organic and then admits to significant AI processing, the damage is not just to the reputation of the song, but to the trust between the artist and the audience. The comparison to Tyga forced Fenix's hand. Seeing a peer navigate a similar controversy by being relatively open likely made the path of least resistance clear: admit the use, define it as a tool, and move on.
Technical Accuracy: What Does “Nun to Do w Recording Process” Actually Mean?
Fenix's central defense is that the AI had nothing to do with the recording process itself. From an audio engineering perspective, this defense holds some water but is also potentially misleading. The recording process is the act of capturing sound. If Fenix performed the song in his living room with a microphone, and the raw vocal takes were recorded without AI intervention, then his statement is factually accurate regarding the capture stage.
However, the mixing process is where the final artistic intent is realized. If an AI tool was used to replace or heavily modify the timbre of the recorded vocal, it raises the question of what exactly was preserved from the original performance. Was it the rhythm and cadence of the delivery, while the pitch and tone were synthetically generated? Or was the AI used simply to correct pitch artifacts and smooth transitions, a more conventional use of mixing technology? The vagueness of his statement leaves room for interpretation, and the lack of a specific named tool prevents the community from conducting its own technical audit.
The phrase “keep up w the times or get left behind” also reveals a practical industry pressure. As AI tools become more sophisticated and accessible, the sonic landscape is shifting. Tracks that utilize these tools can often sound more polished, more “modern,” or achieve specific aesthetic qualities that are difficult to replicate with traditional mixing alone. For an artist like Fenix, operating in a competitive digital marketplace, the temptation to use a tool that can enhance a track’s commercial viability is immense. His statement reflects a realpolitik of the music industry in 2025: the technology is available, competitors are using it, and the audience may not be able to tell the difference.
How Does AI-Powered Vocal Processing Work in a Modern Mixing Context?
To understand the implications of Fenix's admission, it is necessary to understand the mechanics of the tools being discussed. AI vocal processing tools typically function by analyzing a source audio file and mapping it onto a target model. The user records a vocal track. The AI analyzes the pitch, timing, and phonetic content of that track. It then rebuilds the vocal using the characteristics of a chosen model, which could be anything from a generic “clean pop vocal” to a specific artist’s timbre. The output is a new audio file that retains the rhythmic and lyrical structure of the input but possesses the vocal quality of the model.
This is distinct from auto-tune, which corrects pitch within a natural vocal range. It is distinct from reverb or delay, which add spatial effects. This is a form of vocal synthesis that uses the original performance as a blueprint. When a listener hears a phrase on Rubberz, they may be hearing Fenix's rhythmic delivery and lyrical intention, but the actual tonal quality of the voice could be significantly influenced by a machine learning model. This is the technological reality behind his defense that the AI was a mixing tool.
Industry Implications: Contracts, Credits, and Creative Ownership
The Fenix Flexin case has practical consequences beyond a single rap feud. It highlights the growing need for transparency in music production credits. If an AI tool significantly alters a lead vocal, should it be credited in the liner notes? Several major labels and digital distributors are already debating this very question. The Recording Academy has updated its Grammy rules regarding AI, allowing for AI-assisted work to be eligible only if a human contributes a “meaningful” and significant creative component.
Fenix's admission will likely accelerate discussions within his own label and management team about disclosure policies. For producers and engineers, it sets a precedent: using AI in the mixing stage is becoming normalized, but hiding that use is becoming risky. The legal landscape is also shifting. If an AI model was trained on another artist's catalog without permission, and that model was used to process Fenix's vocal, it could create a liability for unauthorized use of a voice likeness. This is a legal gray area that courts are only beginning to address.
For the fan base, the admission creates a new category of skepticism. Listeners will now approach future releases from Fenix with a question in mind: is this a human performance, or is it a human performance processed by a machine? The trust required for a fan to connect with an artist on an emotional level is fragile. If the voice they are connecting to is partly synthetic, the nature of that connection changes. Fenix's advice to “keep up w the times” may be pragmatic, but it does not address the emotional contract between performer and audience.
Contextualizing the Hip-Hop Response to AI Tools
Hip-hop has always been a genre built on sampling, technology, and repurposing existing sounds. The drum machine, the sampler, and the sequencer were all once seen as threats to “real” musicianship. In that sense, AI is simply the latest tool in a long line of technological disruptors. However, the voice is different. The voice is the most direct marker of individual identity. Using AI to modify or generate a vocal performance strikes at the core of what makes a rapper unique: their cadence, their tone, their breath control.
The backlash against Fenix and Tyga is not a simple Luddite rejection of technology. It is a specific anxiety about the commodification of vocal identity. When an AI can make any rapper sound like any other rapper, or can make a mediocre vocal take sound pristine, the value of raw talent becomes harder to assess. Fenix's statement that the AI was just a tool fails to account for the fact that tools shape the art. A painter who uses spray paint instead of a brush makes different art. A rapper who uses AI vocal processing instead of raw take after raw take makes different art. The industry is now grappling with how to value and categorize that difference.
The Future of Disclosure in Music Production
The most likely outcome of controversies like this is a push toward standardized disclosure. Streaming platforms like Spotify and Apple Music may eventually require a tag for tracks that use generative AI in specific ways, similar to the way they currently label explicit content. This would give listeners the choice to engage with or avoid such music. It would also provide legal protection for artists and labels by ensuring transparency.
Fenix Flexin confirming using AI to make Rubberz may be remembered as a turning point in this process. His admission, however reluctant, normalizes the conversation. It forces other artists who are quietly using similar tools to consider their own position. It forces fans to refine their definition of authentic artistry. The technology is not going away. The tools will only get better, cheaper, and harder to detect. The only variable is how the culture decides to integrate them.
The challenge for Fenix moving forward will be consistency. If he claims future songs are entirely human-made, will the public believe him? He has introduced a doubt that can only be erased through radical transparency, perhaps by releasing raw, unprocessed vocal takes alongside the finished tracks. The audience is now more educated and more skeptical. For an artist, educating the audience on how you make your art is usually a good thing, but it comes with the burden of being held to that standard every time.
Fenix’s closing line in his Instagram response rings with a certain defiant truth. The music industry is indeed moving forward, with or without the consent of its most traditional gatekeepers. The question that remains, and that Fenix will have to answer with his next body of work, is whether the art can survive the full scrutiny of the machine that helped create it. The answer will define not just his career, but the trajectory of an entire generation of music production.
