In recent years, artificial intelligence (AI) has increasingly been integrated into the financial sector. AI-powered applications and online services can track users’ spending, forecast budgets, and provide personalized saving recommendations. For example, algorithms can analyze banking transactions, identify recurring payments, and suggest ways to optimize expenses.
AI also supports investment management. Robo-advisors provide portfolios designed to minimize risks based on market data analysis. Users can receive guidance on asset diversification or choose investments aligned with their expected returns.
However, limitations remain. First, algorithms depend on data provided by users. Incorrect or incomplete data can lead to inaccurate recommendations. Second, privacy concerns exist: personal financial data can be vulnerable to cyberattacks or third-party misuse.
Nevertheless, the benefits of AI are evident. It saves time, provides personalized advice, and makes financial planning more accessible to a wide audience. Experts recommend using AI as a supporting tool rather than relying on it entirely, combining technology with human judgment.