Making AI Headlines · Page 5

Managers Find AI Work Harder to Evaluate

More than half of managers say evaluating employees' work has become harder after adopting AI, according to a new survey reported by TechCrunch. The result identifies a management problem accompanying the technology's productivity promises. It does not establish that those employees have become less productive. Evaluating work and producing useful work are related but different questions. A manager may face more polished output while having less clarity about the employee's contribution, the review required or the reliability of the result. That creates a practical challenge for organizations introducing assistants into existing performance systems. Measures designed around visible effort or familiar work products may become less informative when software can generate those products quickly. Counting pages was already an imperfect substitute for assessing value; now the pages can arrive before the manager finishes opening the attachment. The survey suggests adoption can add work for supervisors even when tools reduce effort elsewhere. Businesses may need clearer expectations about quality, responsibility and verification rather than simply celebrating increased output. The employee has an assistant, the assistant has produced a report, and the manager has acquired a fresh assignment: determine whether the report represents progress or merely an exceptionally well-formatted request for another meeting.

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Satire. Not factual reporting. Read the original reporting from the linked publishers.