Medium: AI is making us all writers

What the article is about

Published May 8, 2026, on Medium’s own blog, this piece makes a counterintuitive argument: AI has not displaced writers but multiplied them. The article notes that Medium is seeing its highest-ever number of writers publishing stories in 2026. The explanation offered is structural. Because interacting with AI requires writing — constructing prompts, specifying context, evaluating outputs — the act of writing has become central to how most knowledge work gets done, including by people who previously did not write professionally.

Context and argument

The article draws on a 2026 MIT study about the cognitive effects of regular AI use. The study found measurable impacts on certain types of thinking in frequent AI users, but not permanent or structural changes. The article uses this finding to argue that the risk of AI tools is not cognitive displacement but passivity — users who accept AI output without evaluating it are outsourcing the work of thought without capturing the benefit.

The distinction the piece makes is between two modes of AI use. In the first mode, the user gives AI a task and accepts the result — writing as replication. In the second mode, the user writes first and then gives AI a specific, bounded role in responding to that work — writing as exploration. The second mode is where AI functions as support rather than substitute, because the human retains responsibility for planning, synthesis, and judgment.

The practical recommendation is about workflow design: structure your process so that writing comes before AI assistance, not after it. The article frames this as the difference between prompting AI to write your first draft and prompting AI to respond to something you have already started. The former makes AI the author; the latter keeps the writer in control.

The piece also addresses how educational contexts should adapt. Rather than focusing on detecting AI-generated text, teachers are encouraged to assess the judgment behind the work — asking follow-up questions, requiring students to explain choices, evaluating the reasoning rather than the final output.

Key takeaway

The core argument is that writing precisely — articulating intent, setting context, evaluating output — is exactly what makes AI tools more useful. This reframes the common concern: instead of AI making writing obsolete, writing well makes AI more productive.

Who it is useful for

This article is most relevant for writers and content professionals rethinking their workflows after adopting AI tools, and for editors and team leads designing processes that keep human judgment at the center. It is also useful for anyone who has noticed that their AI-assisted work feels less like their own and wants a framework for understanding why.