KPMG has retracted a widely-cited report on enterprise AI adoption after discovering that portions of the data analysis were conducted using AI models, and some of the conclusions were generated by the models rather than human analysis. The report, released in early June, had become a reference point for C-suite discussions about AI investment strategy.
The firm acknowledged that internal QA processes failed to catch that AI-generated content had been mixed into the final deliverable. KPMG's researchers had used Claude and ChatGPT to assist with data processing, but failed to manually verify the outputs before publication.
The incident raises questions about the reliability of AI-assisted analysis in high-stakes consulting work. If a firm specializing in technology cannot reliably distinguish between human-authored and AI-generated content in its own reports, how can enterprises trust AI-based decision support more broadly?