Published November 4, 2024 · By CampaignsLive · Production
The AI brand creative conversation through 2023, 2024, and 2025 has been overwhelmingly visual. Image generation, video tools, design platforms — the parts of marketing production that produce things audiences see. The audio side of the same shift has been quieter, partly because audio output is less visually demonstrable in trade-press coverage and partly because audio production at brand scale has always been more institutionalized and harder to disrupt.
The shift has been happening anyway. By 2025, several categories of branded audio production had moved decisively into AI-assisted workflows. The pattern of where it works and where it does not is worth tracking because it generalizes beyond audio specifically.
What branded audio actually covers
Five categories sit under “branded audio” in most enterprise marketing organizations.
Voiceover for film, video, and broadcast advertising. The trained voice talent recording lines for commercials, brand films, internal communications, and product videos. The work that historically supported a sizable professional voiceover industry.
Podcast and long-form branded content. Both branded podcasts produced by the brand and brand-sponsored content in third-party podcasts. The category has been the fastest-growing branded audio segment of the last five years.
IVR (interactive voice response) and conversational interfaces. The voice systems that handle phone-based customer service, automated ordering, account servicing, and other transactional voice interactions.
In-product audio. Voice assistants embedded in brand-owned products and applications. Less common than the above, but growing as more consumer products incorporate voice as an interface.
Audio branding (sonic identity). The brand-specific sounds, mnemonics, and audio signatures that anchor a brand’s audio identity across all of the above categories.
Each of these has a different AI adoption trajectory and a different set of considerations.
Where AI has reached production grade
By the second half of 2025, three categories had moved decisively into AI-assisted production:
Localization of approved voice talent. The pattern covered in detail in The Quiet Maturity of Brand Voice Cloning in 2025. A brand’s existing voice talent gets recorded once; the resulting voice model produces equivalent content across additional languages and accents, preserving the recognizable vocal characteristics.
IVR and conversational interfaces. The Wendy’s FreshAI deployment is the most public case. The pattern is broadly applicable across QSR, retail, hospitality, and increasingly financial services. The brand voice the AI uses is a deliberate brand decision; the conversational handling is increasingly competent for transactional interactions.
Long-tail branded audio content. Internal communications, training material, IVR menu trees, product audio guidance, social-channel companion audio. The high-volume, lower-stakes work where the production case is cleanest.
Where the human is still the value
Two categories have remained traditionally produced.
Long-form brand storytelling. Brand podcasts that depend on a specific host’s voice, a specific interviewer’s approach, or a specific narrative voice that audiences have built a relationship with. The host is the brand’s investment; replacing the host with AI synthesis would erode the asset, not amplify it.
Performance-driven advertising voiceover. The voiceover work where the specific performance — emotional register, intentional inflection, performance-direction decisions — is the value of the work. Cloned voices produce technically competent output that lacks the performance adjustability of a real session.
The pattern is consistent with the broader image-side shift: AI captures the production volume in the categories where consistency and scale are the operative variables, traditional production retains the categories where the human is the central value proposition.
The sonic identity question
Audio branding — the brand-specific sounds, mnemonics, and audio signatures — sits in a particular position relative to AI tooling.
The traditional work of audio branding is composition-driven. A brand commissions a composer (often a specialized audio branding agency like Sixième Son, MassiveMusic, or comparable shops) to develop a sonic logo, a brand soundscape, and a system of audio assets that can be deployed across all of the brand’s audio surfaces. The output is licensed (or owned) and integrated into the brand’s audio production over a multi-year horizon.
Generative audio tools, including generative music tools like Suno and Udio, have not displaced this work. The reasons are partly aesthetic — sonic identity work depends on craft and intentionality in ways that generative tools have not matched — and partly structural. The brand’s investment in sonic identity is meant to last; the output the brand integrates is supposed to be specifically right rather than appropriately generic.
What generative tooling has done is extend the surface where existing sonic identity assets can be deployed. A brand with a sonic logo can use generative tools to produce variants of that logo for specific contexts, adapt the brand soundscape across long-form content, and scale the audio identity across more touchpoints than the traditional production budget would have allowed. The composition stays human; the extension goes generative.
Operational considerations for brand teams
Three working positions for marketing teams thinking about branded audio.
The voice the operational AI uses is a brand decision. IVR, conversational interfaces, in-product voice — all of these have a voice. That voice is brand expression at scale. Teams that delegate this entirely to operations or to the AI vendor end up with a brand voice that is whatever the default is. The voice should be designed deliberately, with marketing involved in the decision.
Talent contracts need AI scope. Brand-side voiceover talent contracts should include explicit AI clauses. The standard language has been emerging since the 2023 SAG-AFTRA negotiations; brand teams that have not updated their contracts are operating in a contractual gap that will eventually cause friction. See The SAG-AFTRA AI Clauses for the framework.
The data from voice interactions is an asset. Voice systems generate interaction data at fidelity that human-staffed equivalents do not. The data is valuable for marketing — audience understanding, journey mapping, content prioritization — but only if the pipelines exist to use it. Brand teams adopting voice AI should pair the operational rollout with a data integration project, or accept that the data asset will not get used.
For the related visual-likeness conversation that shaped the voice-side norms, see Drake, the Weeknd, and the 2023 AI Music Controversy. For the operational AI pattern in QSR, see Wendy’s FreshAI and the Operational AI Marketing Frontier.