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Stronger increase in predicted new employers in AI-intensive sectors using model-based projections (SBF8Q in BFS) but still dominated by likely new nonemployers. Model-based projections use detailed industry and other application characteristics.
BFS statistics released today show continued surge in new business applications in AI-intensive sectors. The surge is dominated by likely new nonemployers. Index for likely new employers is 1.3 (relative to base of 1 in 2019m1) in May 2026 but 2.9 for likely new nonemployers.
Congratulations to Philippe Aghion, Peter Howitt and Joel Mokyr for a well deserved Nobel Prize. It was nice to see the US Census Bureau's Business Dynamic Statistics featured in the motivating evidence in the scientific writeup: www.nobelprize.org/uploads/2025...
Census Business Formation Statistics (www.census.gov/econ/bfs/ind...) released today for February 2025. Applications in High Tech (NAICS 51 + 54) show robust projected employer business startups over next 8 quarters. February shows recovery from January dip but not as high as December 2024.
New business applications for likely employers are a novel leading economic indicator, from Jose Asturias, Emin Dinlersoz, John C. Haltiwanger, Rebecca J. Hutchinson, and Alyson Plumb https://www.nber.org/papers/w33224
Projected new employer businesses remain high in High Tech sectors: Information (NAICS 51) + Professional, Scientific and Technical (NAICS 54)
New Business Applications increased in November 2024 remaining at high levels relative to 2019. Applications in November 2024 for likely employers 46% higher than average month in 2019.
21h
21h
The recent increase in US wage inequality is driven by a small number of industries, according to researchers at the University of Maryland, US Census Bureau, and IZA. High-wage workers are increasingly sorting into high-wage industries, such as high-tech. #econsky www.aeaweb.org/research/cha...
New BTOS AI Supplement from Census released today. AI use for any business function varies dramatically across sectors and firm size. In AI intensive use sectors, employment-weighted AI use 60-70% -- compared to 32% economy-wide employment weighted. See www.census.gov/library/work...
8mo
Mar 13, 2025
Dec 11, 2024
Dec 11, 2024
Dec 11, 2024
Dec 11, 2024
1mo
John Haltiwanger
John Haltiwanger
Using new Business Trends and Outlook Survey data, we find AI use prevalent in large firms and knowledge-intensive sectors; augments tasks; labor declines rare.
www.census.gov
John Haltiwanger
The Microstructure of AI Diffusion: Evidence from Firms, Business Functions, and Worker Tasks
John Haltiwanger
NBER
John Haltiwanger
NAS Report on AI and the Future of Work Released today: www.nationalacademies.org/our-work/aut...
John Haltiwanger
AEA Journals
John Haltiwanger
Nov 21, 2024
John Haltiwanger
www.aeaweb.org
A small set of industries accounts for the rise in US earnings inequality over the last two decades.
The polarization of industry wages