AI drives 27% surge in solo business applications, Census data show

Artificial intelligence is reshaping US labor markets not through mass job losses but by enabling a wave of solo entrepreneurship, new Census Bureau data suggest.

Solo business applications in AI-exposed sectors have surged 27% since early 2024 while payroll-intent filings fell 6.4%, Census Bureau data show, signaling a structural shift in how knowledge workers organize their careers.

"The divergence emerged after 2024 and then took off," Liya Palagashvili, senior research fellow at George Mason University's Mercatus Center, wrote in a Wall Street Journal analysis of the data.

In professional services, information, education, finance and insurance — sectors with the highest AI adoption rates — solo applications rose nearly 27%. By contrast, applications likely to hire employees dropped 6.4% in those same sectors. In construction and wholesale trade, where AI is less likely to enable independent work, solo business applications were essentially flat.

The pattern extends beyond business formation. Among occupations most exposed to AI, solo self-employment rose about 20% from 2022 to 2025, according to federal labor-market data cited by Palagashvili. In the least AI-exposed occupations, it barely moved. For management analysts — a proxy for consulting work — overall employment grew 12% from 2022 to early 2026, while solo self-employment within the occupation grew more than twice as fast.

The timing reinforces the AI link. An event study shows that in 2022 and 2023, solo applications moved similarly in sectors with both high and low AI exposure. The divergence emerged after 2024 and then accelerated — coinciding with the rapid adoption of generative AI tools across professional services.

More than one in five US firms now use AI in their operations, according to Goldman Sachs Global Investment Research, citing Census Bureau data. That adoption is making it cheaper for one worker to perform tasks that once required a small team — research, drafting, coding, editing and analysis that previously demanded junior analysts, editors and designers can now be handled with AI tools.

The implications extend beyond business formation. A consultant who once relied on junior staff can now operate independently. A researcher can prepare work for publication with fewer institutional resources. The firm is not disappearing, but for some knowledge work, the advantages of being inside one are shrinking.

That creates a policy gap. Unemployment insurance assumes one employer and a clean separation. Health insurance remains heavily tied to employment. Retirement plans, leave benefits and tax advantages are organized around the employer. "The most immediate question isn't whether AI will eventually replace workers," Palagashvili wrote. "It is whether AI is already making workers less dependent on the firm while policy remains anchored to it."

The shift toward independent work is also reshaping demand for senior leadership. Heidrick & Struggles and Business Talent Group reported a 310% increase in demand for interim leaders since 2020, as companies running leaner, AI-augmented teams seek flexible access to executive judgment rather than full-time management layers.

None of this proves AI is the sole driver of the shift. The evidence remains preliminary, and AI may still be squeezing entry-level hiring. But the data points in one direction: as execution gets cheaper, the value of independent work rises, and workers are responding.

This article is for informational purposes only and does not constitute investment advice.