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AI as "Co-founder": GenAI for Entrepreneurship

Junhui Jeff Cai, Xian Gu, Liugang Sheng, Mengjia Xia, Linda Zhao, Wu Zhu

TL;DR

The paper investigates how GenAI diffusion, framed by the November 2022 ChatGPT shock, affects firm creation in China. Leveraging a high-resolution grid-by-quarter panel and pre-2020 AI patent data, it employs a within-city difference-in-differences design to identify how AI-specific human capital modulates entry responses. The findings show a sizable, persistent increase in small-firm entry in AI-rich grids, coupled with a decline in large-firm formation, driven by first-time founders and leaner organizational forms, especially in downstream sectors. Mechanisms include reduced reliance on serial founders, fewer shareholders, and smaller founding teams, supporting the view of GenAI as a

Abstract

This paper studies whether, how, and for whom generative artificial intelligence (GenAI) facilitates firm creation. Our identification strategy exploits the November 2022 release of ChatGPT as a global shock that lowered start-up costs and leverages variations across geo-coded grids with differential pre-existing AI-specific human capital. Using high-resolution and universal data on Chinese firm registrations by the end of 2024, we find that grids with stronger AI-specific human capital experienced a sharp surge in new firm formation$\unicode{x2013}$driven entirely by small firms, contributing to 6.0% of overall national firm entry. Large-firm entry declines, consistent with a shift toward leaner ventures. New firms are smaller in capital, shareholder number, and founding team size, especially among small firms. The effects are strongest among firms with potential AI applications, weaker financing needs, and among first-time entrepreneurs. Overall, our results highlight that GenAI serves as a pro-competitive force by disproportionately boosting small-firm entry.

AI as "Co-founder": GenAI for Entrepreneurship

TL;DR

The paper investigates how GenAI diffusion, framed by the November 2022 ChatGPT shock, affects firm creation in China. Leveraging a high-resolution grid-by-quarter panel and pre-2020 AI patent data, it employs a within-city difference-in-differences design to identify how AI-specific human capital modulates entry responses. The findings show a sizable, persistent increase in small-firm entry in AI-rich grids, coupled with a decline in large-firm formation, driven by first-time founders and leaner organizational forms, especially in downstream sectors. Mechanisms include reduced reliance on serial founders, fewer shareholders, and smaller founding teams, supporting the view of GenAI as a

Abstract

This paper studies whether, how, and for whom generative artificial intelligence (GenAI) facilitates firm creation. Our identification strategy exploits the November 2022 release of ChatGPT as a global shock that lowered start-up costs and leverages variations across geo-coded grids with differential pre-existing AI-specific human capital. Using high-resolution and universal data on Chinese firm registrations by the end of 2024, we find that grids with stronger AI-specific human capital experienced a sharp surge in new firm formationdriven entirely by small firms, contributing to 6.0% of overall national firm entry. Large-firm entry declines, consistent with a shift toward leaner ventures. New firms are smaller in capital, shareholder number, and founding team size, especially among small firms. The effects are strongest among firms with potential AI applications, weaker financing needs, and among first-time entrepreneurs. Overall, our results highlight that GenAI serves as a pro-competitive force by disproportionately boosting small-firm entry.

Paper Structure

This paper contains 45 sections, 7 equations, 6 figures, 15 tables.

Figures (6)

  • Figure 1: Quarterly Trends in Average New Firm Formation by Grid
  • Figure 2: Histogram Distribution of AI Patent
  • Figure 3: Geographical Distribution of AI Patents and Inventors
  • Figure 4: Dynamic Effect of the Release of ChatGPT on Firm Creation
  • Figure 5: Random Assignment of AI Exposure Labels
  • ...and 1 more figures