JOURNAL ARTICLE

How Gen AI Can Turn Reams of Text into Actionable Insights: A study on climate solutions shows how the technology can help leaders track trends, identify changing markets, and seize emerging opportunities.

  • Published In: Harvard Business Review Digital Articles, 2026. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Lu, Shirley; Serafeim, George 3 of 3

Abstract

The article focuses on how generative artificial intelligence (gen AI) can transform large volumes of regulated, unstructured corporate text into actionable insights for executive decision-making, using climate solutions as a case study. By fine-tuning a GPT model to analyze Item 1 (“Business Description”) of firms’ 10-K filings, the authors created a measurable indicator of companies’ engagement in climate-solution products and services, revealing correlations with revenue growth, market valuation, and policy impacts. The study demonstrates gen AI’s potential to identify emerging opportunities, detect shifts in competitive landscapes across industries, and challenge executives’ assumptions by aggregating economy-wide textual evidence. This approach highlights the value of standardized, regulated text as a reliable data source for strategic analysis beyond climate solutions, while noting limitations related to data quality and availability. [Extracted from the article]

Additional Information

  • Source:Harvard Business Review Digital Articles. 2026/03, p1
  • Document Type:Article
  • Subject Area:Technology
  • Publication Date:2026
  • Accession Number:192188148
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