Generative AI is being increasingly integrated into workplace processes and career development, reshaping how tasks are executed and decisions are made. This presents significant questions about productivity measurement, particularly as work increasingly involves collaboration between humans and AI systems rather than purely human effort.
When humans and AI systems work together to produce outputs, it becomes challenging to determine what portion of results comes from human contribution versus AI assistance. This fundamental issue means that traditional concepts of productivity may no longer adequately capture work performance in AI-augmented contexts. The special issue seeks research that reconceptualizes how productivity should be defined and measured when human-AI collaboration is involved, with attention to career implications and organizational factors that influence these dynamics.