Venture capital investments in artificial intelligence

IF 1.3 4区 经济学 Q3 ECONOMICS
Benedetta Montanaro, Annalisa Croce, Elisa Ughetto
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Abstract

Artificial intelligence (AI) technologies have significantly attracted the attention of institutional investors over the last decade. However, previous literature has not deeply explored the characteristics of venture capital (VC) investments in AI ventures. In this study, we explore whether and to what extent investments in AI ventures differ from those in similar non-AI ventures, and whether they are moderated by venture-level, country-level, and investor-level factors. We test our hypotheses on a sample of 5235 investments in 2689 AI ventures and 9215 investments in 4373 non-AI ventures belonging to the Industry 4.0 domain, observed from 2000 to 2019. We find that the amount invested in AI ventures is significantly lower than non-AI ones: this negative relationship is, however, moderated by a venture’s development stage, VC investor’s experience and the AI development level of the country in which the invested venture operates.

人工智能领域的风险投资
过去十年来,人工智能(AI)技术极大地吸引了机构投资者的关注。然而,以往的文献并未深入探讨风险投资(VC)对人工智能企业投资的特点。在本研究中,我们将探讨人工智能风险投资与类似的非人工智能风险投资是否存在差异,差异程度如何,以及这些差异是否受到风险投资层面、国家层面和投资者层面因素的调节。我们以 2000 年至 2019 年期间观察到的 2689 家人工智能企业的 5235 笔投资和 4373 家属于工业 4.0 领域的非人工智能企业的 9215 笔投资为样本,检验了我们的假设。我们发现,对人工智能企业的投资金额明显低于非人工智能企业:然而,这种负相关关系会受到企业发展阶段、风险投资人经验以及所投资企业所在国家的人工智能发展水平的影响。
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
39
期刊介绍: The journal aims to provide an international forum for a new approach to economics. Following the tradition of Joseph A. Schumpeter, it is designed to focus on original research with an evolutionary conception of the economy. The journal will publish articles with a strong emphasis on dynamics, changing structures (including technologies, institutions, beliefs and behaviours) and disequilibrium processes with an evolutionary perspective (innovation, selection, imitation, etc.). It favours interdisciplinary analysis and is devoted to theoretical, methodological and applied work. Research areas include: industrial dynamics; multi-sectoral and cross-country studies of productivity; innovations and new technologies; dynamic competition and structural change in a national and international context; causes and effects of technological, political and social changes; cyclic processes in economic evolution; the role of governments in a dynamic world; modelling complex dynamic economic systems; application of concepts, such as self-organization, bifurcation, and chaos theory to economics; evolutionary games. Officially cited as: J Evol Econ
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