Podcasting's Growing Potential

Podcasts are expanding their capabilities and offerings, increasing their monetization potential.

According to Podcast Industry Insights, about 22,000 new podcasts release every month. Many podcasters prefer to use something other than the big platforms. They are expanding their monetization capacity by selling premium content directly to their listeners. The amount of podcast-like content brands create for promotion or event producers seeking on-demand access to talks is rising. Content creators of all magnitudes and types are increasingly producing podcasts. The more they can automate large swathes of production, the more they will be able to focus on content. There is a real motivation and imperative for creators to become more versatile in light of all those contexts.

It has become easier and easier to publish audio in many different places. With all those contexts, creators must become more versatile.

The rise of AI: AI software can automate many tasks previously performed by humans, including podcast production. AI speeds up production, can enhance sound podcast quality, and pave the way for future audio experiences. Artificial Intelligence aims to help podcasters handle repetitive tasks to streamline their workflow. With AI, producers do not need to listen to the entire podcast to identify and remove errors and irrelevancies. Manual effort takes considerably longer to filter out quality content, while AI can automate this time-consuming process. Producers can accomplish some tasks with artificial intelligence at scale, such as removing background noise or enhancing dialogue. Enhancing good-quality dialogue would only be possible with artificial intelligence, or at least in a reasonable time frame.

Perfect for menial tasks: There are as many applications of artificial intelligence in podcasting as there are production tasks. Some applications are integrated directly into podcasting platforms. Ai services automatically listen to podcasts uploaded by creators and normalize the volume of the audio files. Tools that reduce the mind-numbing aspects of a job are beneficial. Producers always need human expertise, but machines could soon learn to understand what makes a podcast interesting and decrease time on task. Many solution providers handle many aspects of podcast engineering with artificial intelligence, including noise elimination and echo control. Room tone is one of the more mind-numbing tasks services and software can perform. Producers may need to insert digital silence between edits or extend the spacing between sentences in a podcast. Producers might need to return and capture room tone if they didn't capture it during recording. The recording may be listened to, copied, pasted, and edited to blend in naturally. As an alternative, computers can handle it for them.

New AI-based capabilities: Artificial intelligence opens the door to podcasting innovation creating new solutions that will benefit podcasters and listeners alike. The Epidemic Audio Reference (EAR) tool enables podcasters to find copyright-free music based on songs they enjoy. Producers are looking for an intro or outro song and thinking of a certain song, but it is copyrighted. People also desire more control and convenience in their podcast experience as other aspects of their lives are becoming smarter - smart homes and refrigerators.

Immersive Storytelling

Podcasters become better the more data they consume. In other words, the more data they consume, the better they become. Dialog enhancement algorithms in some software are developed by analyzing large datasets of voice recordings, some of which are clean and intelligible, while others are not. Advanced audio knowledge can help podcasters produce high-quality audio. Automation can help them focus on great storytelling instead of tedious clean-up tasks. And in the future, they can create a new genre of immersive, spatial podcasts.

The popularity of podcasting will increase the demand for podcast shows in languages other than English. The advancements in artificial intelligence speech cloning will allow podcasters to repurpose their existing episodes into other languages, thus increasing their audience globally.