Census Bureau's Shifting AI Language Raises Questions About Adoption Data
This summary and analysis were generated by AI from the original article at Simon Willison and may contain errors (how Viqus works). Read the source for full details.
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What is the Viqus Verdict?
We evaluate each news story based on its real impact versus its media hype to offer a clear and objective perspective.
AI Analysis:
The hype centers on the 'Super Intelligence' label, but the real impact is the methodological warning about data comparability.
Article Summary
This analysis tracks the U.S. Census Bureau's Business Trends and Outlook Survey (BTOS) data, noting a significant shift in how AI usage is queried. The survey question has evolved from asking if a business used 'Artificial Intelligence (AI) in producing goods or services' to a broader scope covering 'any business functions,' and most recently, to 'Super Intelligence' (SI). This change, linked to Executive Order 14434, means that data collected under the new 'Super Intelligence' wording cannot be directly compared to previous 'AI' metrics, creating ambiguity for readers assessing true AI adoption rates.
Key Points
- The Census Bureau's BTOS survey question has materially changed from focusing on 'producing goods or services' to 'any business functions,' and now to 'Super Intelligence' (SI).
- The shift to 'Super Intelligence' terminology is explicitly linked to Executive Order 14434, signaling a formal governmental recognition of advanced AI concepts.
- Because the survey language changes over time, direct year-over-year comparisons of AI adoption rates using the published data are methodologically compromised.
Why It Matters
This is not a breakthrough in AI capability but a crucial data point regarding the institutionalization and nomenclature of advanced AI within government data collection. The shift from 'AI' to 'Super Intelligence' reflects a formal governmental attempt to categorize and track advanced AI use, potentially influencing how future economic policy and investment are modeled. For industry analysts, this signals that the conversation around AI adoption is moving from technical capability to definitional and regulatory scope.