Sophistication in generative AI (genAI) use varies considerably across functions and is highest in Strategy, Digital Innovation, and Project Management, three groups that share a focus on firmwide strategic initiatives and organizational change.
Abstract
We study how sophistication in generative AI (genAI) use varies among the back-office workforce of a large firm. Using proprietary data, we observe 713,564 employee prompts and their corresponding large language model responses from nearly 4,000 back-office employees across 15 functional areas over eight months in 2025. We document three main findings. First, senior employees exhibit more sophisticated genAI use, consistent with domain expertise complementing genAI capabilities. Second, sophistication varies considerably across functions and is highest in Strategy, Digital Innovation, and Project Management, three groups that share a focus on firmwide strategic initiatives and organizational change. Third, we observe neither improvements in sophistication over time nor lasting improvements following formal AI training, suggesting that sophisticated use can be difficult to change. Together, our study provides measures of and insights into sophisticated genAI use that managers can use to improve outcomes and that researchers can use in future research.
This research examines how generative artificial intelligence, large language models, and machine learning are transforming work across industries. Through a mixed-methods approach comprising interviews with 42 organizational leaders (January-June 2024), a survey of 157 knowledge workers, and comparative analysis of 18...
Jonathan H. Westover· AI Strategy: The Journal of...· 0 citations
Generative artificial intelligence (GenAI) has become one of the latest technological tools adopted in auditing. As a result, new auditors are entering the profession with GenAI as part of their socialization environment. Using a contemporary articulation of the organizational socialization framework emphasizing Conf...
Daniel W. B. Booker, J. Pelzer, Yi-Jing Wu· Accounting Horizons· 0 citations
Explanations for two of the most significant missteps of established firms in failing to pursue important new innovations over the past century have traditionally been chalked up to blunders in resource allocation or simply short-sighted management. This paper, however, examines the more cognitive factors associate...
D. Ahlstrom, Chloe Z. Guo· Journal of Management Histor...· 0 citations
Talent management is frequently justified by its expected contribution to organizational performance, yet a reported performance relationship can represent different constructs, measurement sources, and levels of inference. This critical integrative review examines the correspondence between talent management exposures...
Imam Mahfud, Neyma Fawwaziya Dzakiya Mahfud· Journal of Economics and Bus...· 0 citations
This paper investigates the transformative potential of Generative Artificial Intelligence (GenAI) in organizational foresight by examining not only whether human−AI collaboration occurs, but how different collaboration designs shape foresight quality. As organizations navigate increasingly complex and uncertain envi...
Lukas Zumbrunn· FUTURES & FORESIGHT SCIE...· 0 citations
Han, Kang, Allen and Pan’s (2026) meta-analysis integrates human capital resources (HCR) theory and institutional theory to examine how educational systems and labor market institutions jointly influence the effectiveness of high-investment human resource practices (HIHRPs). Contrary to their theoretical prediction,...
Riki Takeuchi, He-Xiong Huang, April Ye Zhou et al.· Journal of International Bus...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.