已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

The simple macroeconomics of AI

生产力 全要素生产率 经济 任务(项目管理) 不平等 计量经济学 工资 国内生产总值 骨料(复合) 自动化 技术变革 产品(数学) 宏观经济学 总产出 实际工资 技术进步 技术变更 生产(经济) 宏观经济模型 结果(博弈论) 生产力模型 计算机科学 分数(化学) 简单(哲学) 实际国内生产总值
作者
Daron Acemoğlu
出处
期刊:Economic Policy [Oxford University Press]
卷期号:40 (121): 13-58 被引量:68
标识
DOI:10.1093/epolic/eiae042
摘要

SUMMARY This paper evaluates claims about the large macroeconomic implications of new advances in Artificial intelligence (AI). It starts from a task-based model of AI’s effects, working through automation and task complementarities. So long as AI’s microeconomic effects are driven by cost savings/productivity improvements at the task level, its macroeconomic consequences will be given by a version of Hulten’s theorem: Gross Domestic Product (GDP) and aggregate productivity gains can be estimated by what fraction of tasks are impacted and average task-level cost savings. Using existing estimates on exposure to AI and productivity improvements at the task level, these macroeconomic effects appear non-trivial but modest – no more than a 0.66% increase in total factor productivity (TFP) over 10 years. The paper then argues that even these estimates could be exaggerated, because early evidence is from easy-to-learn tasks, whereas some of the future effects will come from hard-to-learn tasks, where there are many context-dependent factors affecting decision-making and no objective outcome measures from which to learn successful performance. Consequently, predicted TFP gains over the next 10 years are even more modest and are predicted to be less than 0.53%. I also explore AI’s wage and inequality effects. I show theoretically that even when AI improves the productivity of low-skill workers in certain tasks (without creating new tasks for them), this may increase rather than reduce inequality. Empirically, I find that AI advances are unlikely to increase inequality as much as previous automation technologies because their impact is more equally distributed across demographic groups, but there is also no evidence that AI will reduce labour income inequality. Instead, AI is predicted to widen the gap between capital and labour income. Finally, some of the new tasks created by AI may have negative social value (such as the design of algorithms for online manipulation), and I discuss how to incorporate the macroeconomic effects of new tasks that may have negative social value.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小雨发布了新的文献求助10
1秒前
艾席文发布了新的文献求助10
1秒前
2秒前
香蕉觅云应助青山语采纳,获得10
2秒前
rubyyoyo发布了新的文献求助10
2秒前
Criminology34举报mochou求助涉嫌违规
5秒前
5秒前
maguodrgon发布了新的文献求助10
6秒前
mountainbike完成签到,获得积分10
7秒前
爆米花应助rubyyoyo采纳,获得10
8秒前
自然天亦发布了新的文献求助200
8秒前
科目三应助机灵凌雪采纳,获得10
11秒前
12秒前
NexusExplorer应助舒服的鱼采纳,获得20
12秒前
12秒前
科研通AI6应助笔墨留香采纳,获得10
12秒前
13秒前
科研通AI6应助huanhuangogogo采纳,获得10
13秒前
可爱的函函应助kk采纳,获得10
14秒前
球球发布了新的文献求助10
14秒前
15秒前
科研通AI6应助小张采纳,获得10
16秒前
16秒前
肖兰发布了新的文献求助10
16秒前
好好养猪发布了新的文献求助10
16秒前
所所应助Naveed采纳,获得10
18秒前
靛蓝喹啉完成签到 ,获得积分10
18秒前
渴望者发布了新的文献求助10
18秒前
18秒前
19秒前
科研通AI6应助田富贵采纳,获得10
19秒前
赘婿应助张贵虎采纳,获得10
20秒前
FeifeiMeng发布了新的文献求助10
21秒前
21秒前
tree发布了新的文献求助10
21秒前
定海乾坤发布了新的文献求助10
23秒前
知秋完成签到,获得积分10
23秒前
24秒前
Owen应助枫树狐狸采纳,获得10
25秒前
27秒前
高分求助中
Aerospace Standards Index - 2025 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
List of 1,091 Public Pension Profiles by Region 941
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
Historical Dictionary of British Intelligence (2014 / 2nd EDITION!) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5443372
求助须知:如何正确求助?哪些是违规求助? 4553292
关于积分的说明 14241453
捐赠科研通 4474854
什么是DOI,文献DOI怎么找? 2452158
邀请新用户注册赠送积分活动 1443137
关于科研通互助平台的介绍 1418745