AI tools for audio are gradually transforming the way brands, creators, and companies produce, distribute, and consume audio content. Voice and AI tools are evolving from experimental use cases to accessible solutions, making it possible to create audio experiences more quickly and at scale.
Today, AI is used at various stages of the audio production process: voice creation, personalization, content adaptation, sound generation, and the transformation of written content into audio experiences.
Creating Audio Content with AI: Game-Changing Tools
For a long time, creating audio content required specialized equipment, a studio, voice actors, or technical expertise. New AI tools now simplify these steps.
Text-to-speech and voice cloning are becoming key technologies. They make it possible to generate natural-sounding voices, personalize content, and quickly adapt audio productions.
Tools like ElevenLabs exemplify this trend. Voice models replicate human tone, rhythm, and inflections. They make it possible to create multilingual audio content tailored to various uses.
These technologies are already being used in real-world applications. For example, Domino’s Pizza uses AI-powered voice technology to handle phone orders using natural-sounding synthetic voices. LG Electronics, for its part, uses speech synthesis in its smart TVs to enable more natural voice interactions and improve accessibility.
The goal is no longer simply to generate a voice, but to create audio experiences that are more seamless, faster, and tailored to new uses.
Turning Written Content into Audio Experiences with AI
One of the most interesting uses of AI tools is their ability to transform existing content into new formats.
With AI, a written document can now become a full-fledged audio experience. NotebookLM is a prime example of this trend: Audio Overviews transforms a document into an AI-generated audio conversation, featuring multiple voices that summarize and explain the content.
This approach opens up new possibilities for businesses and creators. Brands are now converting long-form content (reports, articles, internal documents) into accessible audio formats as an alternative to reading.
Audio thus becomes a new way to access information and make it easier to understand complex content.
Audio AI for Brands: Toward More Personalized Audio Experiences
One of the major benefits of AI is its ability to personalize audio experiences.
Voice technologies make it possible to create content tailored to different audiences, with faster multilingual productions and a consistent audio identity.
These possibilities open up new opportunities for companies that want to offer more immersive experiences that are more closely aligned with their audiences. Voice is becoming a true extension of a brand’s identity, capable of supporting various touchpoints with users.
Some companies are already taking advantage of these opportunities to enhance their customer relationships. BNP Paribas uses AI-generated voices in its voice assistants to create a more engaging experience that better reflects its brand identity.
AI is becoming a tool for creating voice experiences that are more consistent, more tailored, and easier to deploy.
Audio in the Age of AI: Toward New Content Experiences
AI tools do not replace human creativity; rather, they become new tools. They enable faster production, more experimentation, and the creation of audio experiences tailored to new uses. For brands, the challenge is no longer simply to adopt AI, but to understand how to use it to enrich their relationship with their audiences.
As you may have noticed, the public has already embraced voice technology, and the opportunity is very real. Voice is gradually establishing itself as a new interface for digital experiences, bridging creation, expression, and interaction.
To learn more about these developments and understand the trends shaping the audio industry, Ekoo offers its 2026 White Paper, which focuses on use cases, innovations, and the future of audio and voice technology.
