A study exploring how knowledge workers with different levels of experience team with AI for productivity gains shows that AI benefits workers with greater task-based experience, and that senior workers gain less from AI than their junior colleagues.
The research also shows that the relatively lower productivity lift from AI is not a result of seniority per se but rather lower trust in AI, likely triggered by the senior workers' broader job responsibilities.
The work, published in Management Science, "provides new empirical insights into the differential roles of worker experience in the collaborative dynamics between AI and knowledge workers," write the authors, Gordon Gao and Ritu Agarwal of Johns Hopkins Carey Business School, and Weiguang Wang of the University of Rochester.
From Johns Hopkins University
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