The integration of large language models (LLMs) like ChatGPT into various industries has sparked a wave of research into the impact of AI on labor productivity. The results are overwhelmingly positive, with studies demonstrating significant boosts in productivity across a range of tasks, including writing, coding, administrative tasks, text summarization, and research. For instance, research has shown that LLMs can enhance writing productivity, particularly for weaker writers, and improve coding skills. Moreover, AI has been found to increase productivity in white-collar occupations, such as customer support and consulting, with the most significant improvements observed among novice and low-skilled workers. These findings have significant implications for policymakers, suggesting that continued support for AI advancement and adoption could lead to substantial productivity growth and, ultimately, improved standards of living.
AI Boosts Productivity Across Industries
LLMs have been found to increase productivity by 14 percent on average, with the most significant improvements occurring for novice and low-skilled workers.
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