AI - DRIVEN FINANCIAL STRATEGIES: TRANSFORMINGBUDGETING AND BUDGETING AND INVESTMENT

By improving investment and budgeting techniques, artificial intelligence (AI) istransforming financial decision-making. This study investigates the ways in whichAI-powered models enhance financial management by providing data-driven insights, mitigatinghuman biases, and enhancing forecasting precision. The study assesses the benefits anddrawbacks of AI applications in investment strategies, corporate budgeting, and personal finance.AI-driven algorithms optimize asset allocation, risk assessment, and portfoliomanagement in investing strategies by utilizing real-time market data and predictive analytics. The financial landscape has changed as a result of robo-advisors and AI-poweredtradingplatforms, which provide automated, reasonably priced, and incredibly precise tools formaking decisions. This study assesses AI applications in investment planning, businessbudgeting, and personal finance and shows how well they improve financial performance. Even with AI's many benefits in banking, there are still issues, such as algorithmic biases, data security threats, ethical dilemmas, and regulatory issues. To guarantee appropriateAIuse in financial management, these issues must be resolved. In this essay, the revolutionarysignificance of AI in investing and budgeting is discussed, along with its advantages, disadvantages, and future prospects. Transparency, regulation, and additional technological breakthroughs are emphasized.