In January 2026, a technology columnist for The Washington Post, Geoffrey Fowler, conducted an experiment using the health feature of ChatGPT to analyze his long-term health data collected via his Apple Watch. This included a decade's worth of detailed records comprising approximately 29 million steps and 6 million heartbeats. Upon requesting a cardiovascular health grade from the AI, he received an alarming assessment, initially rated as an 'F', which was later adjusted to a 'C', and at times rated as high as a 'B'. These fluctuating grades raised significant concerns regarding the reliability of ChatGPT in providing accurate medical evaluations. Fowler's actual physician contradicted the AI's assessments, declaring him at low risk for cardiac events, highlighting a critical discrepancy between AI-generated interpretations and established medical expertise. This incident has amplified discussions about the implications of employing AI tools in health contexts, as they may induce unnecessary anxiety or provide false reassurance due to their lack of consistent data interpretation. OpenAI acknowledged that ChatGPT's evaluations might vary based on data source weightings in different sessions, but the ramifications of revealing sensitive health assessments to an unregulated AI platform remain troubling. Meanwhile, critics on platforms like Reddit have expressed skepticism about the accuracy and practicality of health analyses provided by AI, with warnings against placing one's health outcomes in the hands of such technologies. This scenario serves as a pivotal illustration of the emerging challenges involved in integrating AI into personal health management, specifically underscoring the caution required when interpreting AI-driven health information.