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J·BJon BishopIndependent growth marketer

AI · Preregistered randomized controlled laboratory-in-the-field experiment, with realistic consulting tasks and a no-AI, GPT-4, and GPT-4-plus-prompt-engineering condition.

Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality

Organization Science · 2026

Fabrizio Dell’Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon

Summary

In this study, Within the AI capability frontier, AI users completed 12.2% more tasks, 25.1% faster, with higher quality; on an out-of-frontier managerial task they were 19% less likely to be correct. Founder use: Design AI product analytics around task-level success and verification, not aggregate usage; expose where the model helps and require review where it can degrade decisions.

For your marketing

Possible founder application

Design AI product analytics around task-level success and verification, not aggregate usage; expose where the model helps and require review where it can degrade decisions.

Reported result

What the study found

Within the AI capability frontier, AI users completed 12.2% more tasks, 25.1% faster, with higher quality; on an out-of-frontier managerial task they were 19% less likely to be correct.

Research question

What the authors investigated

When does GPT-4 improve versus degrade the productivity and quality of complex knowledge work?

Design

Preregistered randomized controlled laboratory-in-the-field experiment, with realistic consulting tasks and a no-AI, GPT-4, and GPT-4-plus-prompt-engineering condition.

Sample and setting

758 knowledge workers performing 18 realistic management-consulting tasks developed with Boston Consulting Group, plus a separate out-of-frontier managerial task.

Scope and transfer

Limitations to keep in view

Consulting tasks and GPT-4-era capabilities may not represent other work or later models; task performance is not a direct measure of product adoption, revenue, or organizational learning.

Research sources

Publisher page directly retrieved with Firecrawl; scrape reference 01a1227f-1ac8-74ec-9bba-2a65012e56ec. Claims are limited to the reported article record. Correction notices were not separately checked.

Additional research source ↗

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