Productivity Gain

Productivity gain research currently focuses on quantifying the impact of technological advancements, particularly AI, on various work domains. Studies utilize diverse methodologies, including randomized controlled trials, quasi-experimental designs, and process mining, to assess the effects of AI tools like LLMs and generative AI on individual and team productivity across sectors such as software development and business processes. These analyses often consider both quantitative metrics (e.g., output quantity, code quality) and qualitative factors (e.g., cognitive workload, user experience), revealing complex and sometimes heterogeneous effects depending on user expertise and task complexity. This research is crucial for understanding the economic and societal implications of emerging technologies and informing the design of human-AI collaborative systems that maximize efficiency and well-being.