Table of Contents

Top 5 Podcast Use Cases of Generative AI in 2024

March 6, 2024
Artificial Intelligence
7 mins
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For many years, podcasting has typically involve­d a one-sided method - hosts delivered their material out into the world with little straight communication with listene­rs. However, producing high-quality podcast episodes takes an immense amount of time and effort. Generative AI models like GPT-3 are set to change the podcast creation workflow by automating many repetitive and time-consuming tasks. Here are some of the key use cases where AI in the podcast industry can help podcasters work smarter, not harder.

Top 5 popular use cases of generative AI in podcast

1. Research and Content Creation

The most labor-intensive part of podcasting is researching a topic and creating an outline. Typically, a podcaster will spend hours consuming content, taking notes, and organising their thoughts before sitting down to record an episode. AI tools can automate this process through summarization and content generation.

Podcasters can use AI search tools to find relevant articles, papers, videos, etc. on a topic. The AI assistant will summarise sources, and identify key ideas, statistics, examples, and talking points. This distilled information makes creating an episode outline much easier. AI writing assistants can also generate entire scripts which the podcaster can then edit and finalise. This reduces the blank page staring associated with writing long-form content.

2. Interview Preparation

Preparing interesting and intelligent questions for podcast interviews takes a lot of background research into the guest and their area of expertise. AI tools can create customised interview guides for the podcaster containing initial questions to ask based on analysing the guest's previous work and statements.

The AI assistant can also analyse thousands of existing podcast interviews to suggest best practices for structuring the flow.  Handling the grunt work of question preparation and research, AI allows hosts to have more authentic conversations with their guests.

3. Post-Production Editing

Cleaning up podcast audio is a long task. Editors must listen through the entire recording and edit out long pauses, misspoken words, filler sounds, background noise, etc. AI-assisted editing tools like Descript, Otto Radio, and RX Ambience Match can automate parts of this workflow. They shorten silences, take out filler words, fix mispronounced terms using text transcripts, and ensure consistent volume and audio quality. This speeds up post-production so podcasters can get episodes out faster.

Top 5 popular use cases of generative AI in podcast

4. AI Narration and Voice Overs

Original narration, quotes, and voiceovers take a high level of vocal talent and production capabilities. AI voice synthesis platforms like WellSaid Labs,, and VocaliD can generate amazingly human-like vocal tracks from text in different styles, accents, tones, and emotions. Now amateur podcasters can add professional-sounding voiceovers to their shows at the click of a button!

AI voices can also read out written quotes, passages from books, and references much more clearly than most hosts. This adds more production polish without expensive studios and voice artists.

5. Interactive Fiction Podcasts

Scripted fiction podcasts with sound effects, music, and dialogue require massive writing, acting, recording, and production efforts. AI storytellers like Jasper and Writesonic can generate engaging fiction plots, characters, and branching dialogue suited for episodic interactive audio dramas.

AI writing assistants also craft compelling scene descriptions and stage directions.  Automating the demanding process of fiction writing, AI allows more podcasters to explore immersive storytelling styles native to the audio medium. Audiences get transported into imaginative worlds expertly adapted for their ears.

Let’s Wrap It Up

Generative AI  promises to catapult podcasting by enabling animated discussions between hosts and listeners. Through its abilities, Gen AI can completely change the podcasting me­dium via boosted interactivity. By enabling live­ dialogues betwee­n podcasters and listeners, it fortifie­s the audience involveme­nt. 

For creators, automated processe­s may simplify content production. Listeners additionally stand to benefit from more personalised and responsive show formats. As one of the first solutions bridging this interactivity gap, it signals towards how AI could shape the audio landscape moving forward. It brings a long-sought degree of dynamism at an opportune juncture to elevate the medium.

Codiste is a trusted Generative AI app de­velopment company in the USA, pionee­ring conversational AI for podcasts. Their AI engineers help by developing a platform that facilitates real-time­ discussions between pre­senters and listene­rs. This creates a more e­ngaging experience­. They streamline proce­dures by generating transcripts and profile­s. It also enables community-driven promotion and subscribe­r growth based on user intere­sts. Codiste's  AI-powered innovations promise more­ fluid and responsive formats tailored to each listener.

Nishant Bijani
Nishant Bijani
CTO - Codiste
Nishant is a dynamic individual, passionate about engineering, and a keen observer of the latest technology trends. He is an innovative mindset and a commitment to staying up-to-date with advancements, he tackles complex challenges and shares valuable insights, making a positive impact in the ever-evolving world of advance technology.
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