---
id: "lib-2026-10-26-tasknet-building-occupational-task-inventories"
type: "library"
title: "TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale"
lang: "EN"
org: "Stanford Digital Economy Lab"
source_type: "Paper"
date: "2026-10-26"
week: "2026-W44"
url: "https://nosov.ai/library/lib-2026-10-26-tasknet-building-occupational-task-inventories/"
original_url: "https://digitaleconomy.stanford.edu/publication/tasknet-building-occupational-task-inventories-from-worker-interviews-at-scale/"
tags: ["future of work", "enablement"]
---

# TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale

## English summary

Wang, Haupt, Robinson, Lewis, Brynjolfsson, Yang (with Mercor); 132 workers, 6 occupations, 2,726 reports -> 202 task statements; covers 75% of 118 O*NET tasks, adds 79 new; holdout coverage 89.3% vs O*NET 78.6%; shifts AI exposure both ways (up for software developers, lawyers).

Original: https://digitaleconomy.stanford.edu/publication/tasknet-building-occupational-task-inventories-from-worker-interviews-at-scale/