Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures

Historically, junior professionals have mentored senior professionals around new technologies, because juniors are typically more willing than seniors to perform lower-level tasks to learn new skills, better able than seniors to engage in real-time experimentation close to the work itself, and more willing than seniors to learn innovative methods that conflict with traditional identities and norms. However, we know little about what happens when emerging technologies have a high level of uncertainty in their use, because they have wide-ranging capabilities and are exponen- tially changing. With the rise of Artificial Intelligence, specifically learning algorithms and LLMs, such contexts may be increasingly common. In our study conducted with the Boston Consulting Group, a global management consulting firm, we interviewed 78 junior consultants in July–Au- gust 2023 who had recently participated in a field experiment that gave them access for the first time to generative AI (GPT-4) for a strategic business problem solving task. Drawing from junior professionals’ in situ reflections soon after the experiment, we found that junior professionals may fail to manage risks around uncertain emerging technologies because juniors are likely to recommend three kinds of novice risk work tactics that: 1) are grounded in a lack of deep un- derstanding of technologies that have uncertain and wide-ranging capabilities and are changing exponentially, 2) focus on change to human routines rather than system design, and 3) focus on interventions at the project-level rather than system deployer- or ecosystem-level. The implica- tions of novice risk work are that, when junior professionals are expected to be a source of expertise in the use of uncertain, emerging technologies, this can lead to learning failures. This study contributes to our understanding of occupational learning around emerging technologies, risk work in organizations, and human-computer interaction. E-mail address: kkellogg@mit.edu (K.C. Kellogg).

Authors: Katherine C. Kellogg, Hila Lifshitz, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland, François Candelon, Karim R. Lakhani

Published in: Information and Organization

Publication date: 2025-03

Read the paper: https://doi.org/10.1016/j.infoandorg.2025.100559

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