A software engineer has built an unusual AI tool: a leaderboard that ranks coworkers by how much they stress him out. The system links heart-rate data from his wearable tech to specific job activities, creating a running list of the worst offenders. Meetings and certain colleagues apparently trigger measurable spikes in his stress levels.
The developer wears a smartwatch or similar device that tracks his heart rate throughout the day. An AI algorithm correlates these biometric readings with his calendar and interaction logs, scoring each coworker and event. The result is a top-10-style ranking that updates in real time, highlighting which people and situations are most taxing.
This experiment sits at the intersection of workplace wellness, biometric surveillance, and AI-driven self-quantification. While the engineer describes it as a personal tool for self-awareness, it raises questions about privacy and the ethics of using physiological data to judge others. The approach is not yet commercialized, and no company or investors are involved.
The broader implication is a growing trend of employees using AI to optimize their own workplace experience, for better or worse. If such tools become mainstream, they could shift power dynamics—giving individuals data to advocate for changes in how teams operate, or creating tension if rankings are shared. For now, this remains a one-person project.
The engineer, whose identity is not disclosed in the source, built the system entirely for personal use. He has not indicated plans to release it publicly or seek funding. The Inc article notes the novelty of hacking wearable data in this way, but offers no commentary from workplace experts or privacy advocates.