Welcome to another episode of Podcaster Plus!
This time, host Nathan Wrigley takes us on an exploration of one of the most talked-about trends in podcasting today: using AI to create your show’s content.
With artificial intelligence tools like Jasper, Copy AI, and Google’s NotebookLM promising greater efficiency and faster content creation, it can be incredibly tempting for busy podcasters to hand over the creative reins.But is relying on AI really the best move for your podcast in the long run?
In this episode, Nathan unpacks the potential pitfalls of using AI as your main content creator.
He discusses the risks of ending up with bland, generic episodes that lack originality and a distinctive voice, the danger of spreading inaccuracies or ethical missteps, and the possibility of stifling your own growth as a creator.
On the flip side, he acknowledges where AI truly shines, as a brainstorming partner, for rapid outlining, or transcribing interviews.
He also delivers some tips for podcasters who want to get the most out of AI without sacrificing the personality and authenticity that makes their show stand out.
Whether you’re curious, skeptical, or already experimenting with AI, this episode offers advice on embracing these new tools while always keeping your unique voice at the heart of your podcast.
Remember to check out the show notes for the links to resources mentioned in this episode at podcasterplus.com/show. And we will see you next time for some more tips and tricks to simplify and automate your podcast.
Resources:
Omniscient Digital: 5 Pitfalls of AI-Generated Content
Descript: How to Write a Podcast Script: Step-by-Step in 2025
Key topics:
Introduction to the Episode
- Presentation of the episode’s main question: Is using AI to create podcast content a good idea?
- Explanation of the episode’s structure (broken into sections).
The Allure of AI
- Efficiency: AI tools promise to speed up the workflow.
- Overcoming creative blocks: Help with idea generation and scriptwriting.
- Examples of AI platforms: Jasper, Copy AI, Google’s Notebook LM.
- Continuous availability: AI operates 24/7, unlike human collaborators.
The Case Against AI-Generated Podcasts
- Lack of originality and creativity: AI content tends to be generic, repetitive, and lacking in unique insight.
- Absence of a distinct voice: AI cannot replicate the personal tone and touch of a human host.
- Potential for inaccuracies and ethical issues:
- Risk of incorrect information and plagiarism.
- Possibility of generating biased or offensive material.
- Need for human oversight to fact-check and maintain ethical standards.
- Risk of stifling creativity: Overreliance on AI can prevent personal growth and development of a unique podcast style.
AI as a Tool, Not a Replacement
- AI’s positive role as a support mechanism:
- Brainstorming ideas.
- Generating initial drafts.
- Transcribing interviews.
- Importance of human oversight to ensure quality, authenticity, and originality.
- Encouragement to use AI to enhance, not substitute, human creativity.
Practical Tips for Using AI in Podcasting
- Set clear guidelines for the AI’s output.
- Review and edit content meticulously, including thorough fact-checking.
- Infuse personal personality into the content with anecdotes and opinions.
- Assign AI to specific, suitable tasks (brainstorming, outlining, transcription) rather than full script generation.
Conclusion
- Summary: AI can offer useful shortcuts, but shouldn’t be the sole creator.
- Human creativity and voice are essential for engaging, memorable podcasts.
- Final encouragement to use AI strategically while prioritizing originality.
- Reminder to check show notes for resources.
- Sign-off and teaser for future episodes.