AI has cut my pay as a memoir writer in half | Letter
Summary
A freelance memoir writer reports a 50% pay cut due to their employer's adoption of a large language model (LLM) in their workflow. Previously, the writer would interview clients and then write the memoir. Now, an LLM generates the initial draft after the interview, and the writer is paid half their original fee to edit the AI-produced text. The writer states that editing the AI-generated content takes as long as writing it from scratch due to the LLM's tedious and homogeneous output, its poor performance with less coherent interviewees, and the necessity of extensive cross-referencing for accuracy, which the employer downplays. This practice is described as a cynical method to reduce costs.
Key takeaway
For freelance writers and content creators facing AI integration, you should meticulously track the actual time spent editing AI-generated drafts versus original creation. This data can demonstrate that "editing" often equates to the original writing effort, providing grounds to negotiate fair compensation rather than accepting reduced fees for what is presented as a simpler task.
Key insights
AI integration can halve freelance pay while maintaining equivalent human effort, shifting work from creation to intensive editing.
Principles
- AI-generated content often requires extensive human editing.
- Homogeneous AI output can compromise narrative quality.
- Accuracy checks for AI drafts demand full source cross-referencing.
In practice
- Evaluate true time cost of editing AI output.
- Assess AI's performance with non-ideal input data.
- Factor in ethical obligations when using AI for sensitive content.
Topics
- AI in Writing
- Freelance Compensation
- Large Language Models
- Memoir Production
- Content Editing
Best for: Entrepreneur, General Interest, Consultant, HR Professional
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.