WorkDifferentWithAI.com Academic Paper Alert!
Written by Alexia Cambon, Brent Hecht, Ben Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach
Article Section: Application Development and Deployment; Data Science and Machine Learning Platforms
Publication Date: December, 2023
SEO Description: Microsoft study reveals Copilot, an LLM tool, significantly boosts productivity in enterprise tasks.
Cambon, Alexia, et al. Early LLM-Based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity.
Copilot, productivity, enterprise information workers, LLM-based tools, task execution
AI-Generated Paper Summary
Generated by Ethical AI Researcher GPT
This report presents the initial findings of Microsoft’s research initiative on “AI and Productivity”, which seeks to measure and accelerate the productivity gains created by LLM-powered productivity tools like Microsoft’s Copilot. The many studies summarized in this report, the initiative’s first, focus on common enterprise information worker tasks for which LLMs are most likely to provide significant value. Results from the studies support the hypothesis that the first versions of Copilot tools substantially increase productivity on these tasks. This productivity boost usually appeared in the studies as a meaningful increase in speed of execution without a significant decrease in quality. Furthermore, we observed that the willingness-to-pay for LLM-based tools is higher for people who have used the tools than those who have not, suggesting that the tools provide value above initial expectations. The report also highlights future directions for the AI and Productivity initiative, including an emphasis on approaches that capture a wider range of tasks and roles.
Read the full paper here