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WSJ: ChatGPT and Claude users are adopting chatbot language
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Users of ChatGPT, Claude, and other neural networks have begun carrying chatbot-like phrasing into everyday speech, work messages, and meetings. The Wall Street Journal writes that this is already noticeable in startups and the venture capital scene.
As The Insider writes, citing the American newspaper The Wall Street Journal, regular interaction with ChatGPT, Claude, and other neural networks is already changing everyday speech: people are bringing into conversations, work correspondence, and communication with colleagues phrasing that resembles chatbot responses.
WSJ gives the example of Sarah Wimmerkrantz, a partner at a venture company from Stockholm, Sweden. At a recent work meeting, she opened with the phrase “This is not a morning meeting, it’s a reset”, and according to her, employees increasingly speak briefly and sharply and lavish praise on one another with words like “brilliant” and “you’re so smart”.
Some market participants call such turns of phrase “LLM-isms” or “Claude language”. The head of recruiting at one startup, Will Barnett, told WSJ that his emails and Slack messages have become more formal and impersonal, and that he sometimes edits his own text so it looks less like something generated by a neural network.
Among startup founders, another style has also taken hold — “cave man speak”: this is what they call extremely short AI commands like “Why no bullets?” AI consultant Ellie K. Miller said that this style has already moved from prompts into ordinary communication.
This is also noticeable in work meetings: if someone explains an idea for too long, colleagues may interrupt with the question “What is the goal?”, and this helps AI agents recording meetings make more accurate notes. At one AI startup in San Francisco, USA, they even keep a “prompt language” scoreboard: employees get marks for words like “really”, “critically important”, “irrefutable evidence”, the construction “X is the new Y”, and hyphenated compound expressions; whoever earns the most marks in a week pays for after-work drinks for colleagues.
At the same time, WSJ interlocutors note that this language existed long before ChatGPT and in many ways came from business literature, legal documents, and corporate speech. PR specialist Angela Nibbs, who has spent 20 years weaning executives off corporate jargon, says: “Everyone sounds polished, but no one sounds particularly interesting”.

