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Are you worried about AI? It’s about to get worse as study shows people now speak like ChatGPT

Eric Hal Schwartz

26 June 2025

You can almost hear the em dashes

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A new study shows people sometimes sound a lot like ChatGPT when they speak
The evidence is in their vocabulary and phrasing
This shift could flatten emotional nuance and have everyone sound the same

Have you recently heard a TED Talk, or perhaps from a friend who teaches at a college, tell you about their plan to delve into a new realm and encourage you to be more adept at some activity? There’s a chance they’ve been possessed by the spirit of ChatGPT. Or maybe just spent a lot of time interacting with AI chatbots.

Researchers at the Max Planck Institute for Human Development think the latter is becoming a real trend. They’ve released a new report indicating that a linguistic shift has begun in the wake of ChatGPT’s release. Academics and other lecture-adjacent people are starting to sound like AI, their speech peppered with some of the same words that occur far more often in AI-produced text than average, like meticulous, adept, delve, and realm.
The researchers analyzed 280,000 academic YouTube videos across more than 20,000 channels. The change was easy to spot, with some of the words popping up more than 50 percent more often than would be expected. And these aren’t AI-written scripts, it’s just educated people inadvertently pulling from the AI dictionary. Whether they are using em dashes is harder to tell, but they may well be hidden among the words.

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I should also say that someone using those words doesn’t mean they are being influenced by AI writing. I can point to writing of mine going back decades that uses all of the examples of AI vocabulary precisely because they feel evocative and interesting.

AI thesaurus
It might seem like a minor issue, but it might portend a potentially deeper problem. The researchers found the AI-influenced words weren’t just more frequent, they were replacing more vivid, less structured language. What once might have been a passionate, complex argument would become dull and antiseptic. Sanding the texture off our language and always defaulting to the phrases used by AI could, at its worst, reduce the color, emotion, and regional quirks that enliven how we speak. Linguistic diversity doesn’t thrive on autocomplete.
It could even mean a decline in our manners. There’s a debate about whether it’s worth being polite to AI chatbots. Should you say “please” to ChatGPT or thank you to Gemini? Conversation is conversation. If we are brusque with AI enough, it will bleed into how we speak to other humans, and the world might feel a little less friendly.
At the same time, it’s hard to resist completely. If you’re an academic trying to write a paper or a content manager trying to meet a deadline, ChatGPT can be a useful co-author. It writes cleanly and is often direct and even incisive in its analysis. But the tradeoff is a voice that’s often monotonous in long-form, no matter the prompt. And if you rely on it too often, that voice becomes yours.

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It’s worth noting that we’ve seen this pattern before. Technology has always shaped language. The telegraph encouraged brevity, and telephones made “hello” the standard greeting. Texting gave us LOL and ROFL. Twitter had us saying “hashtag” out loud, while emojis have people saying “upside down smiley face” in actual conversation. We’re emulating something not because it’s natural, but because it’s what we’re now trained to expect.
It’s hard to miss the irony of creating an AI chatbot to mimic humans, only to have humans start mimicking AI. Odd as it is to contemplate, you may have to pay attention to how you speak and the words you use lest you fall into the vocabulary your AI pal uses. Delve into the meticulous research on what makes your language unique and become adept in the realm of uncommon idioms.
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Eric Hal Schwartz

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Contributor

Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He’s since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he’s continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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