AI
The U.S. Census Bureau and “Super Intelligence”
Publication: Simon Willison's Weblog
Author: Not available in collected metadata
Source published: 02/11/2026, 13:31:26 UTC
Briefing created: 03/11/2026, 00:16:10 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 03/11/2026, 00:12:24 UTC.
Briefings
The U.S. Census Bureau's Business Trends and Outlook Survey (BTOS) data shows a significant increase in reported AI usage among large U.S. companies from 12% in September 2025 to 40% by October 2026. This rise coincides with a change in survey wording from 'producing goods or services' to 'any of its business functions' on November 17, 2025, and further updates to 'Super Intelligence' terminology on October 19, 2026. The chart reflects a 200,000 business panel sampled from 1.2 million total businesses, with data published on alternating Thursdays at 10am.
Key points
- Large U.S. companies reported 12% AI usage in producing goods or services in September 2025, rising to 40% in October 2026 under the new survey wording.
- The survey question changed from 'producing goods or services' to 'any of its business functions' on November 17, 2025, making prior data non-comparable to current results.
Context
The chart tracks AI adoption trends for large U.S. companies using the Business Trends and Outlook Survey (BTOS), which cycles through 200,000 businesses every twelve weeks. The data reflects a shift in survey language that may impact comparability over time.
Limitations
Survey results are limited to businesses completing the survey every twelve weeks; the panel of 200,000 may not represent all 1.2 million total businesses. Data is available on alternating Thursdays at 10am, with the latest published October 22, 2026. The chart reflects the old AI survey wording; results for Super Intelligence are due for publication on Thursday.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 03/11/2026, 00:16:10 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
View archived briefing on IPFS
bafybeiec22csa6lw3kxlju3fas4wqm32eumlsz3jbm7hagaayyic4xstpi