  Large language models (LLMs) like ChatGPT have been widely adopted in work
contexts. We explore the impact of ChatGPT on young professionals' perception
of productivity and sense of accomplishment. We collected LLMs' main use cases
in knowledge work through a preliminary study, which served as the basis for a
two-week diary study with 21 young professionals reflecting on their ChatGPT
use. Findings indicate that ChatGPT enhanced some participants' perceptions of
productivity and accomplishment by enabling greater creative output and
satisfaction from efficient tool utilization. Others experienced decreased
perceived productivity and accomplishment, driven by a diminished sense of
ownership, perceived lack of challenge, and mediocre results. We found that the
suitability of task delegation to ChatGPT varies strongly depending on the task
nature. It's especially suitable for comprehending broad subject domains,
generating creative solutions, and uncovering new information. It's less
suitable for research tasks due to hallucinations, which necessitate extensive
validation.
