Inside the Census Bureau’s Latest AI Adoption Data

By Ridhika Basnet · AIM Media House

On May 26, 2026, the United States Census Bureau released its findings based on the bureau’s latest Business Trends and Outlook Survey (BTOS) data, through a public write-up, showing a spread of AI adoption across American businesses, limited to larger firms and specific operational functions.

The Business Trends and Outlook Survey (BTOS) is an ongoing data product by the U.S. Census Bureau designed to provide continuous, near-real-time measurements of current business conditions and future economic projections.

Newly released data from the bureau’s Business Trends and Outlook Survey (BTOS), published on May 21, 2026 , tracks corporate activity from mid-December 2025 through early May 2026. The findings offer a comprehensive look at how American companies are integrating AI into their daily workflows.

US AI Spreads, Scope Stays Small As per the bureau’s public write-up, the recent Business Trends and Outlook Survey (BTOS) captures two facets of AI adoption: whether a business used AI in the past two weeks and if the business expects to use AI in the next six months. The findings include that 18% of U.S.

firms actively deployed AI across one or more departments. When weighted by employment, AI adoption rises to 32%, proving that large corporations are leading the adoption curve while smaller firms lag behind. The findings also predict that almost 23% of businesses are expected to adopt AI in the next six months.

Further highlighted are AI adoption rates in the information and finance and insurance sectors, which were both higher than the national rate of 19.8%, while retail, manufacturing, and wholesale trade (including distribution) reported lower AI usage than the national average, where AI usage stands at 14% today and is expected to hit 17% within six months.

The findings conclude that AI use is limited to specific business tasks, not enterprise-wide transformation. For most businesses, AI is being introduced as a collaborative tool for worker assistance rather than a mechanism for workforce reduction.

Although there is limited evidence of widespread AI-driven job cuts, the bureau noted that companies with deeper AI integration report significantly stronger business performance and higher investment activity.

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