Brian Chau has announced that he is automating investigative journalism through his platform Effort.News. In a post shared on X (Twitter), Chau stated that the platform is publishing five stories in a single day, all based on verifiable financial data that had reportedly gone unnoticed for extended periods.

Chau described the initiative as a systematic approach to uncovering financial information that others have overlooked. The full thread, which outlines the five stories in detail, is available on X: https://x.com/brianchau57/status/2086803587699745170?s=20

The announcement highlights an emerging trend in journalism where automation and data-driven tools are being applied to investigative reporting, potentially enabling the identification of patterns and discrepancies in publicly available financial records at a scale and speed beyond traditional manual methods. Investigative journalism has historically been one of the most resource-intensive forms of reporting, often requiring weeks or months of manual document review by dedicated teams at news organizations. Automated platforms like Effort.News represent an attempt to compress that timeline by applying programmatic analysis to public datasets, including regulatory filings and financial disclosures.

The broader media industry has been grappling with shrinking newsroom budgets and declining investigative capacity over the past decade, even as the volume of publicly available financial data has continued to grow. Chau's effort comes amid a wave of experiments applying large language models and automated pipelines to accountability journalism, with several newsrooms and independent operators exploring similar approaches to source documents, campaign finance records, and corporate filings.