Economic Perspectives on AI Integration in Business: A Comprehensive Analysis of Trends and Impacts

Abstract

This research paper provides an extensive economic analysis on artificial intelligence implementation in business incorporating extensive meta database searches from IEEE, ResearchGate, Scopus and recent statistical inputs from reliable sources such as Deloitte, McKinsey and Statista. This research paper critically examines the impacts of AI, mainly highlighting it as the drive of productivity, operational efficiency and competitive advantage. Researchers have also emphasized ethical and persistent organizational challenges. Issues such as transparency, fairness and bias often weaken trust and slow down its acceptance. In contrast to earlier studies this paper uses a broader qualitative approach, utilizing case studies and a SWOT analysis. This approach explains both limitations and tangible benefits of designing and using AI. Policy implications show the importance of governance strategies and adapting regulatory frameworks as AI evolves. The future research should focus on creating ways to measure the value AI brings and building various models that can adjust to the evolving digital economy. Overall, the findings include AI implementation that is ethically and effectively managed will shape the future of growth and markets.