ASSESSING THE IMPACT OF AI INTEGRATION ON BUSINESS EFFICIENCY AND PROFITABILITY: A CASE STUDY ANALYSIS

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Date

2025

Authors

Tkachuk, Oksana

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Abstract

The objective of this research is to evaluate how artificial intelligence (AI) can enhance business productivity and efficiency, particularly in response to the labor shortage crisis. This shortage is driven by demographic shifts, economic and social factors, skills mismatches, economic uncertainties, and evolving work preferences. Industries such as technology, healthcare, manufacturing, construction, finance, and education are most affected. AI technology has the potential to address these challenges, as evidenced by reports indicating significant improvements in productivity and potential GDP growth. This research aims to assess the impact of AI on business efficiency and profitability using real-case examples and modeling through Profit and Loss Financial Statements. The object of research in this study is the impact of AI technologies on business operations, with a focus on management-related aspects such as operational efficiency, financial performance, and strategic integration. The research addresses the critical challenges posed by global labor shortages and evaluates how AI can transform managerial processes to enhance productivity, profitability, and competitiveness. The study will examine AI's effects on operational efficiency, and financial performance, and provide a framework and roadmap for successful AI integration.

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Keywords

business efficiency, business operation, AI, profitability, productivity, efficiency, business impact, integration, cases

Citation

Tkachuk, Oksana. (2025). ASSESSING THE IMPACT OF AI INTEGRATION ON BUSINESS EFFICIENCY AND PROFITABILITY: A CASE STUDY ANALYSIS. Kyiv: American University Kyiv. 59 p.