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OpenAI Launches ChatGPT Work, an AI Assistant for Data Scientists, Transforming Raw Data into Ready-to-Use Analytical Reports

OpenAI unveils details of ChatGPT Work, an AI assistant for data science teams, designed to accelerate the analytical process from raw data to the creation of reports and in-depth documents.

📅 15 Jul 2026, 03:34
OpenAI Launches ChatGPT Work, an AI Assistant for Data Scientists, Transforming Raw Data into Ready-to-Use Analytical Reports
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OpenAI has launched a new tool called ChatGPT Work, an AI agent built on Codex technology, specifically aimed at assisting data science teams. Its purpose is to help transform raw data and business questions into analytical documents ready for presentation and review.

The core capability of ChatGPT Work is to accept various forms of input data, such as dashboards, KPI definitions, exported data files, or business context. It then rapidly compiles these into initial drafts of deliverables like root-cause briefs, impact readouts, KPI memos, or dashboard specs. The generated outputs may include graphs, caveats, source links, and pertinent questions for subsequent review.

ChatGPT Work does not operate in isolation but is designed to connect with various organizational tools like Slack, Microsoft Teams, Google Drive, and SharePoint via plugins. This allows it to directly pull data for creating documents, spreadsheets, presentations, and reports. OpenAI states that this tool is already widely used internally, claiming that nearly 100% of its internal teams, including finance and sales, are utilizing ChatGPT Work and its underlying Codex technology.

This launch is part of a major product overhaul by OpenAI on July 9, which consolidated three applications into a single desktop app, integrating Codex technology with the ChatGPT app, and simultaneously officially unveiling ChatGPT Work.

Why it matters
This tool highlights the trend of AI becoming a crucial assistant in fields dealing with complex data, reducing time spent on repetitive documentation, and enabling analysts to focus more on interpretation and strategic decision-making.
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