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In the Data Pro News, an article titled "Chat GPT-5's Spreadsheet Shocker" from datapro.news, explores how OpenAI's GPT-5 agents are poised to revolutionise Excel-centred analytics and modelling. It highlights a significant shift from traditional, manual spreadsheet workflows to autonomous, multi-step processes powered by large language models (LLMs). The article details how these agents can naturally interpret language, source various data types including unstructured information, and produce complex, formula-rich .xlsx workbooks with minimal human input, leading to faster insights and a redefinition of data engineering roles. While acknowledging the potential for task displacement in entry-level spreadsheet roles, the piece also stresses the ongoing human need for ambiguity resolution, strategic oversight, and data governance.
By Paul BarlowIn the Data Pro News, an article titled "Chat GPT-5's Spreadsheet Shocker" from datapro.news, explores how OpenAI's GPT-5 agents are poised to revolutionise Excel-centred analytics and modelling. It highlights a significant shift from traditional, manual spreadsheet workflows to autonomous, multi-step processes powered by large language models (LLMs). The article details how these agents can naturally interpret language, source various data types including unstructured information, and produce complex, formula-rich .xlsx workbooks with minimal human input, leading to faster insights and a redefinition of data engineering roles. While acknowledging the potential for task displacement in entry-level spreadsheet roles, the piece also stresses the ongoing human need for ambiguity resolution, strategic oversight, and data governance.

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