Forecasting the Future: The Interplay of Artificial Intelligence, Innovation, and Competitiveness and its Effect on the Global Economy

Author:

Adigwe Chinasa SusanORCID,Olaniyi Oluwaseun OladejiORCID,Olabanji Samuel OladiipoORCID,Okunleye Olalekan JamiuORCID,Mayeke Nanyeneke RavanaORCID,Ajayi Samson AbidemiORCID

Abstract

The study investigates the profound impact of Artificial Intelligence (AI) on various facets of the global economic landscape. Against a backdrop of rapid technological advancements, the study draws on the context of the pivotal IMF report highlighting the transformative potential of AI. The report suggests that AI could modify, replace, or transform about 60% of jobs in advanced economies and a significant proportion in emerging and low-income countries, reflecting a global paradigm shift in employment and economic structures. The core objective of this study is to thoroughly examine the role of AI-driven innovation in organizational competitiveness, its impact on community development and socioeconomic dynamics, and its implications on national economic policies and global economic trends. A quantitative research methodology was employed, involving a structured survey targeting a diverse group of professionals in various industries. The survey was meticulously designed to capture insights into participants' experiences and perceptions regarding AI implementation and its impacts. A total of 642 valid responses from consultants, technology enthusiasts, industry experts, and policymakers provided a robust dataset for analyzing the study's four hypotheses. The research findings reveal that AI integration significantly bolsters organizational competitiveness, echoing the insights from contemporary literature. Higher levels of AI adoption in communities are linked to improved socioeconomic outcomes, albeit with the risk of intensifying existing inequalities. On a national scale, strategies focusing on AI and innovation correlate with enhanced global economic competitiveness. Furthermore, the integration of AI in business processes markedly influences workforce dynamics, necessitating shifts in skill requirements and job roles. In light of these findings, the paper recommends strategic AI integration within businesses, equitable policy frameworks for AI deployment, a focus on AI in national economic strategies, substantial investment in workforce training, and international collaboration in AI development and ethics are imperative for maximizingAI's benefits while mitigating potential risks.

Publisher

Sciencedomain International

Cited by 5 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

1. Risk Assessment and Mitigation With Generative AI Models;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

2. Ethics and Transparency in Secure Web Model Generation;Advances in Information Security, Privacy, and Ethics;2024-07-26

3. MODA TASARIMINDA YAPAY ZEKANIN KULLANIMI;Elektronik Sosyal Bilimler Dergisi;2024-07-15

4. Exploring the Concept of Explainable AI and Developing Information Governance Standards for Enhancing Trust and Transparency in Handling Customer Data;SSRN Electronic Journal;2024

5. Leveraging Collaboration for Industry 5.0: Needs, Strategies and Future Directions;IFIP Advances in Information and Communication Technology;2024

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