What a Landmark AI Study Tells Us About When to Trust, and When Not to Trust, AI
In September 2023, a working paper out of Harvard Business School landed at an unusually consequential moment. Generative AI had been publicly available for less than a year, organizations were scrambling to understand its implications, and almost no rigorous field evidence existed on how it actually affected professional performance. “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality” offered exactly that. Now, in March 2026, that research has been formally published in the peer-reviewed journal Organization Science. To mark this milestone, we’re revisiting the study and its findings. The questions it set out to answer, what AI actually does to knowledge worker performance, where it helps, where it hurts, and why, were foundational then. They remain foundational now.
Why This Matters
For executives and leaders, this paper remains foundational because it frames AI adoption as a problem of decisions, strategy, and execution. The lesson is not that AI is universally good or dangerously flawed, it’s that leaders have to understand where, in a workflow, AI strengthens performance and where it creates deceptive failures. This means training people to exercise judgment rather than outsource it, and recognizing that polished output is not the same as sound reasoning. How will you guide your team along the jagged frontier?
Link to the D^3 Insight Article
Link to the Research Paper
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