Experts argue that AI's primary use case—alleviating the cognitive strain of writing—directly targets a key activity for strengthening the brain. By summarizing complex texts and generating content, AI encourages shallow engagement and weakens the ability for sustained concentration and insightful thinking.

Constantly using AI for initial drafts can erode your ability to start from a blank page. Your brain's 'first-principles' problem-solving muscle weakens, and you risk becoming merely an editor of AI output rather than a true originator of ideas.

Angela Duckworth found that writing her book 'Grit' was her most intellectually challenging act. A general audience demands that complex ideas make common sense and connect into a coherent whole, forcing a deeper synthesis of material without the shortcuts of academic jargon.

The true danger of LLMs in the workplace isn't just sloppy output, but the erosion of deep thinking. The arduous process of writing forces structured, first-principles reasoning. By making it easy to generate plausible text from bullet points, LLMs allow users to bypass this critical thinking process, leading to shallower insights.

LLMs conform to the average of their training data. When used for creative tasks like writing, they act as "memetic conformity machines," sanding off originality and producing work that sounds like everything else—the literal definition of mediocre.

Author Shannon Hale argues the worst writing advice is "only write what you know." She believes this is flawed because it prevents the author from discovering new ideas during the creative process. Writing should be an act of exploration, not a pedantic exercise of sharing pre-existing knowledge.

For serious writers, the primary objection to AI-generated text is not about quality but the circumvention of the thinking process. Writing is how ideas are refined and arguments are tested. An LLM executing an outline removes crucial steps where a writer's unique insight is developed.

Academic philosophy often prioritizes technical correctness within a niche debate over broader resonance. Public philosophy (on platforms like Substack or podcasts) forces a different standard: whether an idea "rings true." This demand for resonance and an authentic voice is a crucial corrective to sterile academic discourse.

Writing is not just the documentation of pre-formed thoughts; it is the process of forming them. By wrestling with arguments on the page, you clarify your own thinking. Outsourcing this "hard part" to AI means you skip the essential step of developing a unique, well-reasoned perspective.