Venture Capital Investment Decisions in Artificial Intelligence: Opportunities, Trends, and Challenges
Year: 2024
Type: article
Abstract: In the contemporary society, the rapid growth of the artificial intelligence industry presents significant opportunities for venture capital investment, driven by advancements in machine learning, robotics, neural networks, and generative AI. With a projected market size of $184 billion by 2024, demand for AI technologies is attracting growing investor attention. This paper explores key trends in AI venture capital, highlighting regional differences. U.S. investments emphasize growth in sectors like healthcare and autonomous vehicles, while Chinese investors focus on capital-intensive areas like mobility and robotics, prioritizing relationships and government alignment. Despite opportunities, AI investment faces challenges like information asymmetry, security risks, and a lack of deep tech expertise. Short venture capital funding cycles further complicate long-term returns for investing in the AI industry. The paper also outlines the venture capital decision-making process, underscoring the need for expertise, regional awareness, and strategic risk management to effectively navigate the complexities of AI investment.
Author: Jiaying Du
Institution: Carnegie Mellon University
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405793137