Artificial Intelligence in the Context of Global Resource Mobility. What Can Be Expected from It?

IF 0.7 Q3 ECONOMICS
R. Piasecki, Miron Wolnicki, Erico Wulf Betancourt
{"title":"Artificial Intelligence in the Context of Global Resource Mobility. What Can Be Expected from It?","authors":"R. Piasecki, Miron Wolnicki, Erico Wulf Betancourt","doi":"10.18778/1508-2008.24.23","DOIUrl":null,"url":null,"abstract":"The impact of artificial intelligence (AI) on business, government, and society is getting more attention. The leading AI sectors have higher productivity but a lower share of GDP than those lagging in digitization and AI. There is a technological gap, with still unknown consequences concerning the social contract, the expected new digital welfare profile, as well as the business strategy about globalization. The hypothesis is that while digitization was already in motion (2000–2005), capital outflow from the US to MHGEs (market high-growth economies) in Asia negatively affected its productivity outcome. Additionally, it is expected that AI will give more market power to multinationals, reshaping the social contract. Thus, the current western social contract will no longer be able to cope with the consequences of the weakness of the nation-state, its policymakers, or the powerful profit-driven multinationals to deal with the overall effect of AI. We aim to look at the impact of this new state of technology on the social contract, focusing on the proper actions of government and business to deal with it. We used a descriptive approach based on desk research concerning productivity data, European government policies, trade model analysis, and business approach to AI. We expect to demonstrate the dynamic interaction of the K/L ratio within the prevailing status of global resources mobility, and the dangers unregulated AI represents to labor. Policy actions are needed concerning the legal status of AI and how to avert the collapse of the social contract and the rise of oligarchic cyber‑autocracies. \nOur general conclusion is as follows: While capital investments, which would have contributed to improved total factor productivity (TFP) in the USA, went to MHGEs, increasing their GDP growth in less than a decade, the broad use of Artificial Intelligence (AI) will reverse massive offshoring, and new types of manufacturing processes will emerge in developed countries.","PeriodicalId":44249,"journal":{"name":"Comparative Economic Research-Central and Eastern Europe","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative Economic Research-Central and Eastern Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18778/1508-2008.24.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

The impact of artificial intelligence (AI) on business, government, and society is getting more attention. The leading AI sectors have higher productivity but a lower share of GDP than those lagging in digitization and AI. There is a technological gap, with still unknown consequences concerning the social contract, the expected new digital welfare profile, as well as the business strategy about globalization. The hypothesis is that while digitization was already in motion (2000–2005), capital outflow from the US to MHGEs (market high-growth economies) in Asia negatively affected its productivity outcome. Additionally, it is expected that AI will give more market power to multinationals, reshaping the social contract. Thus, the current western social contract will no longer be able to cope with the consequences of the weakness of the nation-state, its policymakers, or the powerful profit-driven multinationals to deal with the overall effect of AI. We aim to look at the impact of this new state of technology on the social contract, focusing on the proper actions of government and business to deal with it. We used a descriptive approach based on desk research concerning productivity data, European government policies, trade model analysis, and business approach to AI. We expect to demonstrate the dynamic interaction of the K/L ratio within the prevailing status of global resources mobility, and the dangers unregulated AI represents to labor. Policy actions are needed concerning the legal status of AI and how to avert the collapse of the social contract and the rise of oligarchic cyber‑autocracies. Our general conclusion is as follows: While capital investments, which would have contributed to improved total factor productivity (TFP) in the USA, went to MHGEs, increasing their GDP growth in less than a decade, the broad use of Artificial Intelligence (AI) will reverse massive offshoring, and new types of manufacturing processes will emerge in developed countries.
全球资源流动背景下的人工智能。我们能从中期待什么?
人工智能(AI)对商业、政府和社会的影响越来越受到关注。与数字化和人工智能落后的行业相比,领先的人工智能行业生产率更高,但占GDP的比重较低。技术差距仍然存在,在社会契约、预期的新数字福利状况以及全球化的商业战略方面,其后果仍不得而知。假设是,虽然数字化已经开始(2000-2005年),但从美国向亚洲市场高增长经济体(MHGEs)的资本外流对其生产率结果产生了负面影响。此外,预计人工智能将赋予跨国公司更多的市场力量,重塑社会契约。因此,当前的西方社会契约将不再能够应对民族国家、政策制定者或强大的逐利跨国公司在应对人工智能整体影响方面的软弱所带来的后果。我们的目标是研究这种新技术状态对社会契约的影响,重点关注政府和企业应对它的适当行动。我们使用了一种基于桌面研究的描述性方法,涉及生产率数据、欧洲政府政策、贸易模型分析和人工智能的商业方法。我们希望证明在全球资源流动的普遍状态下,K/L比率的动态相互作用,以及不受管制的人工智能对劳动力的危害。关于人工智能的法律地位,以及如何避免社会契约的崩溃和寡头网络专制的兴起,需要采取政策行动。我们的总体结论如下:虽然资本投资将有助于提高美国的全要素生产率(TFP),但在不到十年的时间里,这些资本投资流向了mhge,提高了它们的GDP增长,但人工智能(AI)的广泛使用将扭转大规模的离岸外包,新型制造工艺将在发达国家出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
26
审稿时长
16 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信