Why AI writing all sounds the same

You can now spot it in one paragraph. The confident rhythm, the tidy triads, the summary that promises to unpack something. AI writing all sounds the same, and there is a reason.

These models are trained to produce the most plausible next word. Plausible means central. Central means average. When everyone in your industry prompts the same models with the same requests, the output converges on the same competent, forgettable middle.

That is not a reason to ban the tools. It is a reason to be precise about what you hand them.

The drafting, the reformatting, the third version of the same proposal? Give it away. The judgement about what you actually think, the argument only you can make, the sentence a client quotes back to you a year later? That is the work you keep human, because it is now the only part that differentiates you.

When everyone has the same models, sameness becomes the default and voice becomes an asset. The organisations getting this right are not the ones generating the most content. They are the ones who decided, deliberately, which words still have to come from a person.