Is AI driving a boom in new employer businesses?
Core argument: Business applications likely to become employer businesses were flat in 2025 and began rising in 2026, with fewer applications of the kind having the highest chance of becoming an employer business.
Employer entrepreneurship is at best rising modestly, and at worst has been falling for several years already. The number of business applications likely to become an employer business was flat in 2025 and began rising in 2026. Fewer of those applications have been the kind that have the highest chance of becoming an employer. Nonemployer entrepreneurship, or “solopreneurship,” is likely rising, but not as the main job of the solopreneurs. These are probably side hustles. Likely nonemployer business applications rose significantly in 2025 and early 2026. But the share of workers claiming to be self-employed nonemployers in their main job — in other words, business owners with no employees — is flat (though noisy). AI-intensive sectors and industries are no exception. Establishment entry in AI-intensive sectors (information and professional services) has been flat or falling in recent years.



The vc giants’ newfound contrition comes on the back of a gigantic tech crash. The tech-heavy nasdaq index fell by a third in 2022, making it one of the worst years on record and drawing comparisons with the dotcom bust of 2000-01. According to the Silicon Valley Bank, a tech-focused lender, between the fourth quarters of 2021 and 2022, the average value of recently listed tech stocks in America dropped by 63%. And the plunging public valuations dragged down private ones (see chart 1). The value of older, larger private firms (“late-stage” in the lingo) fell by 56% after funds marked down their assets or the firms raised new capital at lower valuations. 








