The New Normal and the Era of Misknowledge—Understanding Generative AI and Its Impacts on Knowledge Work

The revealed capability of generative AI tools can significantly transform the way knowledge work is conducted. With more tools being built and implemented, generative AI-aided knowledge work starts to emerge as a new normal, where knowledge workers shift a significant portion of their workloads to the tools. This new normal can lead to many concerns and issues including workers’ mental health, employees’ confusion in production, and potential spreading misknowledge. Considering the substantial portion of knowledge work in the US economy, this paper calls for more research to be conducted on this important area. This paper synthesizes relevant economic and behavioral research findings in the AI automation field and opinions of field experts, and presents a comprehensive framework, “generative AI-aided knowledge work”. This framework theoretically addresses concerns such as job replacement and organizational and behavioral factors in using generative AI and provides directions for future research and guidelines for practitioners in incorporating generative AI tools. This is one of the early attempts to provide a comprehensive overview of generative AI’s impacts on knowledge workers and production. It has the potential to seed future research in many areas such as countering misknowledge and employees’ mental health.

Authors

Institutions

Publication Details

Journal
Knowledge
Published
2025-10-09
DOI
https://doi.org/10.3390/knowledge5040022
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The New Normal and the Era of Misknowledge—Understanding Generative AI and Its Impacts on Knowledge Work

Xiang Guo, Peng Zhang, Zhiguo Yang
Knowledge
Ethics and Social Impacts of AI
article

The New Normal and the Era of Misknowledge—Understanding Generative AI and Its Impacts on Knowledge Work

Xiang Guo, Peng Zhang, Zhiguo Yang
article en

Abstract

The revealed capability of generative AI tools can significantly transform the way knowledge work is conducted. With more tools being built and implemented, generative AI-aided knowledge work starts to emerge as a new normal, where knowledge workers shift a significant portion of their workloads to the tools. This new normal can lead to many concerns and issues including workers’ mental health, employees’ confusion in production, and potential spreading misknowledge. Considering the substantial portion of knowledge work in the US economy, this paper calls for more research to be conducted on this important area. This paper synthesizes relevant economic and behavioral research findings in the AI automation field and opinions of field experts, and presents a comprehensive framework, “generative AI-aided knowledge work”. This framework theoretically addresses concerns such as job replacement and organizational and behavioral factors in using generative AI and provides directions for future research and guidelines for practitioners in incorporating generative AI tools. This is one of the early attempts to provide a comprehensive overview of generative AI’s impacts on knowledge workers and production. It has the potential to seed future research in many areas such as countering misknowledge and employees’ mental health.

KnowledgeVol. 5(4)
Missouri State University (US), Community Partners (US)
Openalex Percentile: Top 72%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The New Normal and the Era of Misknowledge—Understanding Generative AI and Its Impacts on Knowledge Work — Xiang Guo, Peng Zhang, et al. · Knowledge (2025) | TGRS Research Map | TGRS