Current and Future Use of Large Language Models for Knowledge Work

8Citations
Citations of this article
45Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase productivity and reduce tedious tasks in an unprecedented way. A systematic study of LLM adoption for work can provide insight into how LLMs can best support these workers. To explore knowledge workers' current and desired usage of LLMs, we ran a survey (n=216). Workers described tasks they already used LLMs for, like generating code or improving text, but imagined a future with LLMs integrated into their workflows and data. We ran a second survey (n=107) a year later that validated our initial findings and provides insight into up-to-date LLM use by knowledge workers. We discuss implications for adoption and design of generative AI technologies for knowledge work.

Cite

CITATION STYLE

APA

Brachman, M., El-Ashry, A., Dugan, C., & Geyer, W. (2025). Current and Future Use of Large Language Models for Knowledge Work. Proceedings of the ACM on Human-Computer Interaction, 9(7). https://doi.org/10.1145/3757403

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free