Relying on AI to create documents like presentations without deep review leads to superficial understanding. The author becomes a regurgitator, not an owner of the ideas, resulting in less effective communication and lower-quality strategic conversations. AI should augment, not replace, deep thinking.

A "meat proxy" forwards AI-generated content without adding critical thinking. To provide value, leaders must engage with the output, ensuring it reflects their judgment, rather than just acting as a human pass-through for the technology.

The aversion to AI-generated text will fade for internal communications like emails and strategy docs. A human-guided AI often produces clearer, more effective writing than the average person. The key is human accountability: the sender must stand behind every line, even if an AI wrote it.

Just as documentaries label reenactments to distinguish them from actual footage, publications should label AI-generated articles. Failure to do so misleads the audience about the content's origin and breaks trust.

When automating outreach with Fable, the host found that disclosing the AI's involvement was key. One guest stated he wouldn't have replied otherwise, defining "slop" not as AI-generated content itself, but as AI work deceptively passed off as human. This suggests transparency is the new currency for legitimate AI-assisted communication.

The problem with AI-generated content isn't just generic phrasing but the erosion of reader trust and believability. An effective workflow involves a human writing the initial draft to embed genuine ideas and voice, then using AI tools specifically to strip out repetitive patterns and clean up the text.

The value of a corporate or government memo often lies in the rigorous thinking process the author underwent. If an LLM generates the memo, it raises concern that a crucial thought process was skipped, leading to a form of organizational deskilling where the proof of work is lost.

To counter the flood of low-effort, AI-generated content, companies like Clay are creating official policies. These guidelines don't ban AI but enforce accountability, ensuring employees use it as a tool for better thinking—not a shortcut that disrespects readers' time by producing verbose, low-value documents.

When employees substitute generic AI-generated content for their own critical thinking, it lowers the overall quality of work. It is incumbent on leaders to identify this "AI slop," call it out, and push their teams to articulate what they actually think, thereby maintaining a high standard for originality.