Collaborating with ai agents: Field experiments on teamwork, productivity, and performance

Authors: H Ju, S Aral

Published: 2025

Publication: arXiv preprint arXiv:2503.18238, 2025 - arxiv.org

Collaboration with AI agents increases productivity, reshapes communication patterns, and improves text quality while human teams excel in image quality; AI requires fine-tuning for multimodal workflows.

Methods: Large-scale randomized controlled trials using Pairit platform with human-human and human-AI teams performing collaborative marketing tasks.

Key Findings: Productivity, communication patterns, workflow processes, ad quality (text and image), and ad performance metrics.

Limitations: AI agents require fine-tuning to handle multimodal tasks; human-AI teams produced lower-quality images relative to human-human teams.

Institution: Johns Hopkins Carey Business School, MIT Sloan School of Management

Research Area: Human-AI Collaboration, Teamwork,Organizational Productivity

Discipline: Human-AI Interaction

Sample Size: 2310 participants

Citations: 14

DOI: https://doi.org/10.48550/arXiv.2503.18238