Kathryn Bonney
U.S. Census Bureau
Titles as the sources gave them. In 1 entry, with 5 checked quotations.
What they said
Newest first. Each quotation was found word for word in the source.
“During the supplement reference period (Nov 2025-Jan 2026), 18% of firms used AI in a business function, rising to 32% on an employment-weighted basis; adoption is expected to reach 22% within six months.”
“AI-driven employment change instances remain modest, with only about 5% of AI-using firms reporting any headcount impact – distributed nearly equally between increases (2.3% firm-weighted and 3.7% employment-weighted) and decreases (2.0% firm-weighted and 2.4% employment-weighted).”
“Although AI correlates with superior firm performance, its current impact is defined primarily by task augmentation rather than substitution, leaving firm employment largely unaffected.”
“Functional breadth and operational investment are positively associated with employment decreases, whereas worker-task integration shows no significant link to headcount reduction once functional integration and operational investment are taken into account.”
“An important limitation is that worker-use measures are reported by firm respondents rather than directly by employees and thus reflect firm-level assessments of worker behavior rather than independent worker reports.”
In the Base
Every entry they appear in.
The Microstructure of AI Diffusion: Evidence from Firms, Business Functions, and Worker Tasks
Census Bureau and University of Maryland researchers analyze the 2026 AI supplement to the Business Trends and Outlook Survey. They report 18% of US firms using AI in a business function (32% employment-weighted); firms reporting task effects mostly describe augmentation, and about 2% of AI-using firms report AI-driven employment decreases. The authors call the regressions descriptive.