ASAPKPMG Pulls AI-Written Report Over "Hallucination" Controversy
KPMG, the global accounting and consulting firm, withdrew a report it had written using artificial intelligence in June 2026 after numerous factual errors (hallucinations) were found in it. The report in question, "Redefining excellence in the age of agentic AI," was published in October 2025, and the controversy erupted when institutions cited in it—including UBS and the UK's NHS—pushed back, saying "the descriptions of us are not accurate." It will go down as a paradoxical case: a report about AI, written by AI, that got tripped up by hallucinations.
What Happened
KPMG pulled its own report on AI usage over a hallucination problem. After it was pointed out that the October 2025 report "Redefining excellence in the age of agentic AI" contained descriptions that were not factual, KPMG said it had taken the report down from its website and launched an internal investigation. The trigger was AI-detection firm GPTZero confirming several inaccuracies in the report and analyzing that those errors stemmed from AI hallucinations.
What Is a Hallucination?
A hallucination is a phenomenon in which AI plausibly fabricates content that isn't true. Because large language models generate the most plausible next word based on learned patterns, they can present unfounded citations, figures, and examples as if they were real. In this KPMG case, the report is said to have contained corporate adoption examples that were either nonexistent or distorted. It shows that if humans don't fact-check AI-generated output, hallucinations can end up in a publication as-is.
Which Institutions Pushed Back
Several institutions cited in the report said the descriptions of them were wrong. According to reporting by the Financial Times (FT), UBS (the Swiss bank), the UK's NHS (National Health Service), Swiss Federal Railways, and Transport for London (TfL) rebutted that the AI-adoption examples the report attributed to them were either untrue or misleading. As the real-world cases meant to back up the report's credibility turned out to be factually off, the credibility of the entire report was shaken.
Why It Matters
This incident shows that even professional institutions can lose trust if they skip verification of AI output. The more AI is adopted in fields where accuracy is paramount—such as consulting and accounting—the more essential it becomes to have humans cross-check generated results. As companies ramp up adoption of agentic AI (AI that carries out tasks on its own) in 2026, this case is being taken as a warning about the danger of "trusting what AI wrote as-is just because it's a story about AI."
Sources: TechCrunch · The Next Web · The Register