Reductive AI in content creation

You may have noticed that generative AI is having it's moment, and it’s getting a lot of the “credit” (or blame) for “content slop.” While I agree there is a lot of slop created by content engines flooding the market, confusing buyers, and creating an echo chamber that teaches AI models bad habits, most of that slop is half-finished thinking that has been vaguely reviewed and shared because it feels finished, when in reality it never quite resolves into a complete idea, which is, in a way, the point.

That framing tends to stop at volume, but the issue runs deeper than how much content is being produced. What has changed is not just that more content exists, but that it is easier than ever to produce something that looks finished, even when the thinking underneath it is still incomplete. The effort has always been in forming a point of view, refining it, and shaping it into something that holds together, and that part has not gone away. What has shifted is how quickly a draft can create the impression that the work is done.

Generative AI explains the volume, but it does not fully explain what is happening to the ideas themselves. That requires a different lens.

What I have been thinking about as reductive AI shows up inside that same loop, but it operates differently. It is not content produced entirely by a model, but content that starts with a person who has an actual perspective and then moves through a system designed to produce something that feels cohesive and clear.

In practice, that usually looks like giving a prompt, adding a few points for direction, and then refining whatever comes back until it sounds right, which often involves reshaping, rewriting, and always includes swearing at and arguing with the system to get closer to what you meant in the first place.

The output improves in readability, but the process seems to compress and formulize (is that a word? it is today) the idea as it moves through it.

This is how the systems are trained. They produce writing that reads as structured and compelling in a very specific way, and that has been modeled on the same patterns. You see the same contrasts show up again and again, the familiar “not just X, but Y” framing, or the constant repositioning of one idea against another to create a sense of insight. The cadence shifts into short, staccato sentences meant to feel punchy. Transitions become predictable, signaling structure instead of building it. Paragraphs settle into clean, evenly sized blocks that move in orderly steps, and endings try to land with a sense of weight, whether the idea has earned it or not.

This is showing up consistently enough that it is being measured. Analyses, including Grammarly’s review of common AI-generated language patterns, are identifying how often the same words, phrasing, and structures appear across outputs, making the convergence easier to see once you start looking for it.

The distinction between generative and reductive AI becomes clearer in how patterns are applied.

Generative AI tends to produce repeated ideas that are designed to look slightly different from one another, but often feel vaguely incomplete.

Reductive AI does something more frustrating. It takes ideas that are actually different and moves them through the same structural patterns, which makes them look and sound the same even when they did not start that way.

That is where my aggravation comes in. It is not just that there is more content, or even that some of it lacks depth. It is that you can feel the original idea trying to come through, and then watch it get flattened into something lifeless as it repeats those same patterns. The clarity is almost there, the structure is painfully familiar, and, somehow, the soul is gone.

What made the idea distinct has been smoothed out in the process of making it readable.

The patterns persist because they reliably produce something that feels finished without requiring the same level of depth and thought as creating unique content and beating it to death in revision after revision. It's almost like we are all writing by committee now.

Artificial clarity is created. We no longer demand fully developed thinking or structure. We can post anything without requiring an original point of view, and we create momentum without forcing the idea to hold together under scrutiny.

All of this makes vaguely authoritative-sounding posts easy to generate, easy to refine, and easy to publish, which in turn makes them easy to consume. Then we reinforce our own vicious cycle. Because these vague, pattern-oriented posts perform well enough and read cleanly, they begin to define what a “good” post is supposed to look like, and over time, these "good posts" feed the language models that have produced them, and then they become the standard that everything else is measured against.

Once that happens, the impact becomes difficult to ignore. Even when the original idea is strong, the edges start to disappear as it moves through these systems, and the voice begins to flatten in ways that are subtle at first but increasingly consistent. The cadence converges, the structure becomes predictable, and over time, different people with genuinely different perspectives start to sound like they are writing variations of the same piece. The idea itself does not disappear, but it is reduced and assimilated into something that feels familiar rather than specific, which is the practical effect of reductive AI.

What do you think? How are you feeling about reductive AI? How do you feel about the voice you've given your AI chatbot reading everything online and making everything feel like AI? Here's the LinkedIn post, if you want to join the conversation (or start a new one).

There is an obvious irony in writing this with AI, because I am using it to shape the flow and remove friction in getting from idea to draft, and that is genuinely useful in how I work. At the same time, it makes the tradeoff more visible, because the tool can help refine what I am trying to say but it cannot decide what is worth saying, and if I am not careful, it can make my thinking sound like everyone else’s. However, I still jump in to add my own poor grammar, wonky sentence structure, and non-sequitors...gotta keep it fresh, ya know?