Executive Leadership Hub

CEO Bench is an open research benchmark designed to evaluate large language models on executive leadership tasks. It simulates realistic management questions, collects responses from models, and scores them to create a leaderboard. The initiative addresses the prevalent question from CEOs about whether AI can replace all workers by shifting focus to whether AI could replace CEOs instead. As leading large language models (LLMs) reach their potential within this benchmark, the next challenge is determining the minimum model size capable of managing a company effectively. The site’s underlying Python scripts are available in a public repository, allowing users to conduct their own evaluations and expand the question set. All data and code are released under the MIT License, and contributions from the community are encouraged.

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