arXiv subjects

Hyo Kang

Publications and source records attributed to Hyo Kang.

3 recordsLinked to original sources

arXiv2026

Generative AI Fuels Solo Entrepreneurship, but Teams Still Lead at the Top

Recent advances in generative artificial intelligence (AI) are reshaping who enters entrepreneurship, but not who reaches the top of the quality distribution. Using data on over 160,000 product launches on Product Hunt, we find that entrepreneurial entry increased sharply following the public release of ChatGPT-3.5, driven disproportionately by solo entrepreneurs. This shift toward solo entry is particularly pronounced in categories that historically favored team-based ventures. However, much of this growth reflects low-commitment, experimental entry and does not translate into greater representation among the highest-quality outcomes. Team-based ventures are increasingly dominant in the top tiers of platform rankings. These findings suggest that generative AI lowers barriers to solo entrepreneurship while reinforcing team-based advantages.

econ.GN↗

arXiv2023

How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program

We study how humans learn from AI, leveraging an introduction of an AI-powered Go program (APG) that unexpectedly outperformed the best professional player. We compare the move quality of professional players to APG's superior solutions around its public release. Our analysis of 749,190 moves demonstrates significant improvements in players' move quality, especially in the early stages of the game where uncertainty is highest. This improvement was accompanied by a higher alignment with AI's suggestions and a decreased number and magnitude of errors. Young players show greater improvement, suggesting potential inequality in learning from AI. Further, while players of all skill levels benefit, less skilled players gain higher marginal benefits. These findings have implications for managers seeking to adopt and utilize AI in their organizations.

econ.GN↗

arXiv2023

From Talent Shortage to Workforce Excellence in the CHIPS Act Era: Harnessing Industry 4.0 Paradigms for a Sustainable Future in Domestic Chip Production

The CHIPS Act is driving the U.S. towards a self-sustainable future in domestic chip production. Decades of outsourced manufacturing, assembly, testing, and packaging has diminished the workforce ecosystem, imposing major limitations on semiconductor companies racing to build new fabrication sites as part of the CHIPS Act. In response, a systemic alliance between academic institutions, the industry, government, various consortiums, and organizations has emerged to establish a pipeline to educate and onboard the next generation of talent. Establishing a stable and continuous flow of talent requires significant time investments and comes with no guarantees, particularly factoring in the low workplace desirability in current fabrication houses for U.S workforce. This paper will explore the feasibility of two paradigms of Industry 4.0, automation and Augmented Reality(AR)/Virtual Reality(VR), to complement ongoing workforce development efforts and optimize workplace desirability by catalyzing core manufacturing processes and effectively enhancing the education, onboarding, and professional realms-all with promising capabilities amid the ongoing talent shortage and trajectory towards advanced packaging.

cs.CY↗