HomeAnnotated BibliographiesGenAI Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality Share: Section NavigationSkip section navigationIn this sectionAnnotated Bibliographies Affirming and Inclusive Engaged Learning for Neurodivergent Students Capstone Experiences Conditions for Meaningful Learning GenAI and Engaged Learning Global Learning Internships Learning Communities Learning on Location: Place-Based Pedagogies Mentoring Service-Learning Student-Faculty Partnership Supporting Neurodiverse and Physically Disabled Students Undergraduate Research Work-Integrated Learning Writing Transfer In and Beyond the University Reference List Entry:Dell'Acqua, Fabrizio, Edward McFowland lll, Ethan Mollick, Hila Lifshitz, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. 2026. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality." Organization Science 37 (2): 403-423. https://doi.org/10.1287/orsc.2025.21838.About this Journal Article: Dell’Acqua et al. (2026) show that generative AI can significantly improve knowledge-worker productivity and quality for tasks within AI’s “jagged technological frontier,” with consultants using GPT-4 completing more tasks, working faster, and producing higher-quality outputs. However, for tasks outside AI’s capability frontier, AI use reduced correctness, showing that human judgment, task awareness, and careful supervision remain essential in human–AI collaboration. It will be interesting to think of something similar in the teaching and learning. Recommended by Subhadra Ganguli.
