AI’s Sameness Problem. When almost all AI generated content… | by Alex Kantrowitz | Oct, 2025

AI’s Sameness Problem. When almost all AI generated content… | by Alex Kantrowitz | Oct, 2025


When almost all AI generated content looks alike, the novelty wears off fast.

Press enter or click to view image in full size

OpenAI’s video generation app Sora sits atop the App Store charts, but I anticipate it’ll fall off soon. Creating Sora videos is a genuine but momentary thrill. You can put yourself and your friends in hilarious, scary, or fantastical scenarios, and add Jake Paul or Mark Cuban when appropriate. But after a while, all Sora videos start to look and feel the same. The novelty wears off, and the draw to open the app fades.

Sora’s sameness problem isn’t isolated, it’s present in almost all AI-generated content. Generative AI tends to produce the average of averages, seeking to minimize the delta between its output and the mean of human-generated work. So AI images, video, and text often exhibit a uniformity that can only be broken with deliberate prompting, and even then not reliably.

To have a shot at long-term relevance, this sameness issue must be broken. It’s why Instagram co-founder, and current Anthropic chief product officer, Mike Krieger didn’t appear to think Sora is the successor to the app he created when I asked him about it last week. To have a shot at replacing modern day social media, he said, the content must feel “varied over time and not just sort of like, ‘Yeah, okay, I’ve kind of seen it before. It’s really interesting, but I’ve seen it before.’”

AI-generated images suffered from the sameness problem as well. There’s a quality to these images that makes it possible to spot most from a distance. It’s as if the same artist responds to every prompt, even though the models have ingested all the world’s artwork.

Some prompting can generate a unique AI image, especially when you ask the model to follow a certain artist’s style. But as the prompt becomes popular, the sameness problem reappears. This was the case with the Studio Ghibli moment that OpenAI’s 4o model kicked off. After some initial novelty, everything eventually became Studio Ghibli. Then the excitement faded, and nobody ‘Ghiblifies’ their images anymore.

AI’s sameness problem is perhaps most apparent in writing. Forget the em dash, it seems like most business communication reads exactly the same these days, since much of it was written via prompt. My inbox now has more PR pitches than ever, and they all seem like they were written by the same agency. It’s not that the public relations industry standardized its pitch format, AI’s done it for them.

I don’t want to minimize how impressive this technology is. The Sora videos are a breakthrough, demonstrating AI has some basic understanding of physics in a way that’s surprised even the most advanced researchers. AI images are useful, and I’ll often rely on them to illustrate this newsletter. AI text generation, at least within ChatGPT, is incredibly popular and often helpful. But for AI-generated content to achieve its potential, it’s going to have to increase its variety. And given the technology’s fundamentals, that might be a tough problem to solve.

Enjoyed the story? Subscribe to my Big Technology Podcast on Apple Podcasts, Spotify, or your podcast app of choice



Content Curated Originally From Here