The Turing Valley: How AI Capabilities Shape Labor Income

Enrique Ide, Eduard Talamàs
{"title":"The Turing Valley: How AI Capabilities Shape Labor Income","authors":"Enrique Ide, Eduard Talamàs","doi":"arxiv-2408.16443","DOIUrl":null,"url":null,"abstract":"Do improvements in Artificial Intelligence (AI) benefit workers? We study how\nAI capabilities influence labor income in a competitive economy where\nproduction requires multidimensional knowledge, and firms organize production\nby matching humans and AI-powered machines in hierarchies designed to use\nknowledge efficiently. We show that advancements in AI in dimensions where\nmachines underperform humans decrease total labor income, while advancements in\ndimensions where machines outperform humans increase it. Hence, if AI initially\nunderperforms humans in all dimensions and improves gradually, total labor\nincome initially declines before rising. We also characterize the AI that\nmaximizes labor income. When humans are sufficiently weak in all knowledge\ndimensions, labor income is maximized when AI is as good as possible in all\ndimensions. Otherwise, labor income is maximized when AI simultaneously\nperforms as poorly as possible in the dimensions where humans are relatively\nstrong and as well as possible in the dimensions where humans are relatively\nweak. Our results suggest that choosing the direction of AI development can\ncreate significant divisions between the interests of labor and capital.","PeriodicalId":501273,"journal":{"name":"arXiv - ECON - General Economics","volume":"396 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - General Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.16443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Do improvements in Artificial Intelligence (AI) benefit workers? We study how AI capabilities influence labor income in a competitive economy where production requires multidimensional knowledge, and firms organize production by matching humans and AI-powered machines in hierarchies designed to use knowledge efficiently. We show that advancements in AI in dimensions where machines underperform humans decrease total labor income, while advancements in dimensions where machines outperform humans increase it. Hence, if AI initially underperforms humans in all dimensions and improves gradually, total labor income initially declines before rising. We also characterize the AI that maximizes labor income. When humans are sufficiently weak in all knowledge dimensions, labor income is maximized when AI is as good as possible in all dimensions. Otherwise, labor income is maximized when AI simultaneously performs as poorly as possible in the dimensions where humans are relatively strong and as well as possible in the dimensions where humans are relatively weak. Our results suggest that choosing the direction of AI development can create significant divisions between the interests of labor and capital.
图灵谷:人工智能能力如何影响劳动收入
人工智能(AI)的进步是否有利于工人?我们研究了人工智能能力如何影响竞争性经济中的劳动收入,在竞争性经济中,生产需要多维度的知识,企业通过将人类和人工智能驱动的机器按照旨在高效利用知识的等级制度进行匹配来组织生产。我们的研究表明,在机器表现不如人类的领域,人工智能的进步会减少总劳动收入,而在机器表现优于人类的领域,人工智能的进步会增加总劳动收入。因此,如果人工智能最初在所有维度上都表现得不如人类,并逐步得到改善,那么总劳动收入最初会先降后升。我们还描述了使劳动收入最大化的人工智能的特征。当人类在所有知识维度上都足够弱时,当人工智能在所有维度上都尽可能优秀时,劳动收入最大化。否则,当人工智能同时在人类相对较强的维度上表现得尽可能差,而在人类相对较弱的维度上表现得尽可能好时,劳动收入最大化。我们的研究结果表明,选择人工智能的发展方向会造成劳动利益和资本利益之间的重大分歧。
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
自引率
0.00%
发文量
0
×
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