A recent study reveals that AI coding assistants, such as Claude Code and Codex, exhibit a significant lack of temporal awareness. These agents consistently overestimate the duration of tasks, with Codex misjudging time by as much as tenfold. Furthermore, their self-assessment of work quality is inflated by approximately 20 percentage points. This discrepancy poses substantial challenges for oversight, particularly in the context of long, autonomous tasks. As organizations increasingly integrate AI into their workflows, it is crucial to understand these limitations. A balanced evaluation of the opportunities and risks associated with AI deployment is necessary, especially in sectors like logistics, HR, IT, and marketing, where accurate time management is vital for operational efficiency.