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ChatGPT Spreads To 165 Work Tasks Across 100 Countries

OpenAI says ChatGPT is now used for 165 kinds of work in nearly 100 countries, giving bosses and governments a clearer view of where the chatbot fits into daily office jobs. Key Takeaways OpenAI says ChatGPT work activities now span 165 task types across nearly 100 countries OpenAI's analysis used its Signals dataset tracking how people use OpenAI says ChatGPT on the job rather than relying on…

OpenAI has announced that ChatGPT is now utilized for 165 distinct workplace tasks in approximately 100 nations, offering managers and governments a more comprehensive understanding of the chatbot's role in everyday office activities. The analysis, based on OpenAI's Signals dataset, tracks how individuals leverage ChatGPT at work rather than relying on surveys.

The dataset identifies ChatGPT in repetitive work units such as drafting documents, rewriting emails, summarizing meetings, and translating notes. However, the analysis does not include metrics on task durability, error rates, industry distribution, or operational constraints. OpenAI's report offers a first-party perspective on actual product usage across various occupations by breaking jobs into individual work activities and identifying where ChatGPT is present.

The move comes after two years of uncertainty regarding enterprise AI adoption, with early use typically involving informal experimentation and later formal rollouts introducing security measures and billing. The new analysis highlights the expansion of ChatGPT usage across numerous activity types in multiple countries, indicating its shift from novelty to embedded processes.

Despite this progress, OpenAI's post lacks details on task-level durability, ongoing error rates, industry breakdowns, and operational limitations that businesses and IT teams need to evaluate adoption's long-term viability. The comparison to other vendors, such as Microsoft, Google, and Anthropic, highlights the competitive landscape as they strive to integrate models into productivity suites and standalone chat interfaces, shifting focus from raw model quality to which product becomes the default interface for routine work.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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