---
title: "Your Coworkers Are Talking like ChatGPT and You Don't Even Know It"
description: "5 source-backed AI claims from Your Coworkers Are Talking like ChatGPT and You Don't Even Know It, with key statistics, context, and the original AI Adopters…"
url: "https://kbanc.com/claims-library/your-coworkers-are-talking-like-chatgpt-and-you-dont-even-know-it"
source: "https://aiadopters.club/p/your-coworkers-are-talking-like-chatgpt"
date: "2025-08-01"
topics: ["strategy", "business", "implementation"]
generated: "2026-08-31"
---

# Your Coworkers Are Talking like ChatGPT and You Don't Even Know It

By Kamil Banc | August 1, 2025

## Claims

1. **Massive Speech Study** (source summary): A study analyzed 740,000 hours of human speech from YouTube talks and podcasts.
2. **ChatGPT Words Rising** (source summary): Researchers found sharp increases in words like delve, comprehend, boast, swift, and meticulous after ChatGPT's release.
3. **Seven Billion Words** (source summary): The dataset included 360,445 YouTube academic talks and 771,591 podcast episodes transcribed into over seven billion words.
4. **GPT Score Methodology** (source summary): Researchers measured ChatGPT word preferences by comparing human-written texts before and after ChatGPT edits, assigning GPT scores.
5. **Protecting Team Voice** (Kamil's interpretation): Teams should document authentic communication patterns and require AI outputs to be translated into company voice.

## Evidence

### Quote
> "Machines learned from human data, developed their own quirks, then taught those quirks back to us." - Kamil Banc

### Key Statistics
- **740,000 hours**: Total human speech analyzed across YouTube talks and podcasts to detect AI language influence
- **360,445**: YouTube academic talks included in the study dataset
- **771,591**: Podcast episodes analyzed to test whether AI influence reaches spontaneous conversation
- **7 billion+**: Words transcribed from the audio dataset to track shifts in word usage

## Context
The underlying study, published on arXiv, transcribed over seven billion words from 360,445 academic YouTube talks and 771,591 podcast episodes, then tracked usage of ChatGPT-preferred words before and after the tool's November 2022 release. Researchers built GPT scores by feeding human-written texts into ChatGPT and measuring which words appeared more often in its edits, and used synthetic controls to establish causation. For practitioners, the findings suggest auditing team communication for AI-influenced phrasing, documenting authentic speech patterns, and creating AI usage guidelines that require translating outputs back into the organization's natural voice. The research also offers an encouraging note: not every ChatGPT-preferred word gets adopted by humans, meaning teams retain agency over how AI shapes their language.

## Source
- Original: [Your Coworkers Are Talking like ChatGPT and You Don't Even Know It](https://aiadopters.club/p/your-coworkers-are-talking-like-chatgpt)
- Cite: kbanc.com/claims-library/your-coworkers-are-talking-like-chatgpt-and-you-dont-even-know-it

## Primary Evidence
- [massive study](https://arxiv.org/html/2409.01754v3) (arxiv.org; supports claims 1, 2, 3, 4)