Voice feels like the underrated output layer for AI agents

A lot of agent demos end at text. They write a summary, update a spreadsheet, call an API, draft an email, create a report, or move data between tools. That is useful, but I keep thinking the final output layer for many agents should sometimes be audio. Not as a gimmick. More like: Turn a long research summary into a 3-minute spoken brief Convert internal docs into audio someone can listen to while commuting Generate training material from SOPs Read out daily business updates Turn support tickets into a short spoken handoff Create narration from an agent-written video script Make draft voiceovers before a human records the final take The hard part is not just “generate a realistic voice.” The workflow gets messy fast: Long text needs chunking Bad sections need regeneration without redoing everything Different speakers need consistent voices Private company text probably should not be uploaded everywhere The final result needs to export as usable audio, not just play once in a demo For some use cases, you want a repeatable voice/persona attached to a workflow It feels similar to where agent tooling was with files a while ago. First the demo is “look, it can create a file,” then the real product problem becomes versioning, editing, permissions, export, and repeatability. Curious if anyone here is building agents where the final artifact is audio. Where would voice output actually be useful, and where does it feel unnecessary?