Transforming personal finance thanks to artificial intelligence: myth or reality?

Author:

Ribes Edouard Augustin

Abstract

<p>Current societal challenges related to retirement planning, healthcare systems&rsquo; evolution and environmental changes require households to pay a closer attention to their personal finances. This in turns calls for the associated industry to transform and scale. To do so, the personal finance industry could potentially leverage artificial intelligence tools for which there has been increasing levels of chatter. However, there is, to my knowledge, little consensus on whether or not those tools are appropriate given the challenges ahead. The literature review at the heart of this article first suggests that the stream of personal finance where transformation is more than needed is the one pertaining to investments, rather than the ones associated to loans, insurances or payments. Second, the productivity levers fueling the transformation of this branch are yet more driven, as of today, by simple digitalization notions rather by the usage of A.I. instruments. Over the next couple of years, more attention should thus be paid to use/business cases associated to investment products and the digitalization of their distribution chain.</p>

Publisher

Anser Press Pte. Ltd.

Reference76 articles.

1. Accenture. (2020). Accenture 2020 fintech report by cb insights (Tech. Rep.). Author. Retrieved from https://newsroom.accenture.com/news/fintech-fundraising-grew-strongly-in-most-major-markets-in-2019-accenture-analysis-finds.html

2. Acemoglu, D., & Restrepo, P. (2022). Tasks, automation, and the rise in us wage inequality. Econometrica, 90(5), 1973–2016.

3. Agarwal, S., & Zhang, J. (2020). Fintech, lending and payment innovation: A review. Asia-Pacific Journal of Financial Studies, 49(3), 353–367.

4. Ando, A., & Modigliani, F. (1963). The” life cycle” hypothesis of saving: Aggregate implications and tests. The American economic review, 53(1), 55–84.

5. Balasubramanian, R., Libarikian, A., & McElhaney, D. (2018). Insurance 2030—the impact of ai on the future of insurance. McKinsey & Company.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3