# Early Impacts of M365 Copilot

arXiv: https://arxiv.org/abs/2504.11443 · HTML: https://mlsanity.com/paper/2504.11443/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 4 references that are in the map.
- First posted on arXiv 15 Apr 2025.

## Builds on (most cited first, 1 of 1)

- [A Test for Evaluating Performance in Human-Computer Systems](https://mlsanity.com/paper/2206.12390/) (2022)

## Built on by (most cited first, 3 of 3)

- [AI in the Enterprise: How People Use M365 Copilot Chat](https://mlsanity.com/paper/2605.23958/) (2026)
- [Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure](https://mlsanity.com/paper/2604.11759/) (2026)
- [Sophistication in GenAI Use: Field Evidence from a Large Firm](https://mlsanity.com/paper/2608.27364/) (2026)

## Abstract (arXiv)

Advances in generative AI have rapidly expanded the potential of computers to perform or assist in a wide array of tasks traditionally performed by humans. We analyze a large, real-world randomized experiment of over 6,000 workers at 56 firms to present some of the earliest evidence on how these technologies are changing the way knowledge workers do their jobs. We find substantial time savings on common core tasks across a wide range of industries and occupations: workers who make use of this technology spent half an hour less reading email each week and completed documents 12% faster. Despite the newness of the technology, nearly 40% of workers who were given access to the tool used it regularly in their work throughout the 6-month study.