In this thought-provoking episode of The AI-Powered Thought Leader podcast, host Alastair McDermott talks to business leader and author Jonathan Stark about how AI could disrupt our perception of authorship. The fundamental debate centers around whether the increasing use of AI writing tools could redefine or disrupt the traditional concept and credibility associated with being a published “author.”
Key Insights:
- AI should be viewed as just another tool, like a word processor, to create more value with less work
- Using AI for menial tasks like data conversion, transcription, and formatting frees up time
- Training AI on your own previous work allows it to assist in a voice/style you can validate
- The notion of being an “author” may evolve, but good ideas rise above the tool used
- AI excels at research and knowledge synthesis, automating tedious pre-work
- Use AI for tedious pre-work tasks you wouldn’t normally do, like transcripts and show notes
- Train a custom AI model on your previous books/blogs to get AI assistance in your voice
- Use AI to transform data between formats like HTML to Markdown
- Use AI for open-ended research and let it propose novel framings or perspectives
- For recurring tasks with checklists, input the checklist to AI and let it identify steps it can automate
- When using AI for research, “interrogate” it for hours, fact-check, and iterate to refine understanding
Watch this episode on YouTube: https://www.youtube.com/watch?v=eR2hW7S8cuM
“If the ideas are good and they’re novel and they’re opening people’s eyes I kind of don’t care who did it or got credit for it.” – Jonathan Stark [9:43] (The AI Powered Thought Leader)
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