AI-DRIVEN BUSINESS MANAGEMENT STRATEGIES: ANALYZING THE ECONOMIC IMPLICATIONS OF TECHNOLOGICAL ADVANCEMENTS ON U.S. ECONOMIC GROWTH AND EMPLOYMENT TRENDS

Abstract

The research explores the effect that AI technological improvements create on economic expansion and labor force evolution in the United States. Artificial Intelligence into their business management strategies play a determining role in shaping how economies develop. Artificial intelligence systems are altering operational practices throughout sectors of the United States, which generates substantial effects on both national economic expansion and workforce pattern changes. The writer examines productivity evolution supported by testimonies from recent studies about AI technologies as creators of new jobs and stimulators of economic production. The analytical framework derives data from reports at McKinsey Global Institute, which merges information from academic journals alongside research from the International Monetary Fund regarding AI adoption rates and economic performance statistics. The author has selected impacted industries for evaluation purposes to analyze the job effects alongside productivity transformations within areas affected by AI technology. AI-based business approaches generate improved productivity and economic development within the United States economic landscape. The advantages of AI technology create various degrees of benefit distribution among different occupational fields, thus potentially increasing earnings disparities. AI technology generates modern employment positions mostly in technology-based fields yet threatens existing positions of workers who operate in automatable job profiles. The economic advantages of AI, alongside the protection of affected employees, require governments to develop programs that nurture employee proficiency enhancement together with funding technological advances and distributing advantages equitably throughout society.