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Generative AI at Work
EconomicsThe Quarterly Journal of Economics

Generative AI at Work

E. Brynjolfsson, D. Li, et al.

Access to a generative AI conversational assistant for 5,172 customer-support agents increased productivity by 15% on average, with biggest benefits for less experienced and lower-skilled workers, improved English fluency for international agents, and friendlier customer interactions—especially on moderately rare problems. The research was conducted by Authors present in <Authors> tag.... show more
Abstract
We study the staggered introduction of a generative AI-based conversational assistant for 5,172 customer-support agents. Access to AI assistance increases worker productivity, measured by issues resolved per hour, by 15% on average, with substantial heterogeneity. Less experienced and lower-skilled workers improve in both speed and quality, while the most experienced and highest-skilled workers see small gains in speed and small declines in quality. We also find that AI assistance facilitates worker learning and improves English fluency, particularly among international agents. Gains from AI adoption are largest for moderately rare problems, where human agents have less baseline experience but the system still has adequate training data. AI assistance improves the experience of work: customers are more polite and less likely to ask to speak to a manager.
Publisher
The Quarterly Journal of Economics
Published On
Feb 04, 2025
Authors
Erik Brynjolfsson, Danielle Li, Lindsey Raymond
Tags
Generative AIConversational assistantCustomer support productivityWorker learningSkill heterogeneityEnglish fluencyCustomer experience
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