---
type: "Evidence Item"
title: "Working with AI: measuring the occupational implications of generative AI"
description: "Microsoft Research analysed 200,000 anonymised Bing Copilot conversations and mapped generative AI applicability across occupations, with high exposure concentrated in."
resource: "https://www.microsoft.com/en-us/research/publication/working-with-ai-measuring-the-occupational-implications-of-generative-ai/"
tags: ["appendix-iii", "labour_market", "microsoft-research"]
timestamp: "2026-05-14"
category: "labour_market"
publisher: "Microsoft Research"
cope_score: 74
confidence: 0.84
---

# Working with AI: measuring the occupational implications of generative AI

# Claim

Microsoft Research analysed 200,000 anonymised Bing Copilot conversations and mapped generative AI applicability across occupations, with high exposure concentrated in communication, analysis, writing, sales, and knowledge-work roles.

# Relevance

Appendix III, sections five to seven: labour-market evidence and provider framing

# Oracle Verdict

The caveat is doing institutional work: task overlap does not prove full occupation replacement. But the thesis does not require full occupation replacement; it requires workflow-level recomposition that reduces the human production layer.

# Metadata

* Publisher: Microsoft Research
* Category: labour_market
* Sector: Occupational exposure research
* Capability: Generative AI task overlap across occupations
* Cope score: 74
* Confidence: 0.84

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Working with AI: measuring the occupational implications of generative AI](https://www.microsoft.com/en-us/research/publication/working-with-ai-measuring-the-occupational-implications-of-generative-ai/)