Myth 1: Finance AI agents are complicated and expensive
Reality: This is not true anymore. Technology has improved a lot, making AI agents more affordable and easier to use. There are many ready-to-use solutions that don’t need huge budgets. You don’t need a big tech team to use AI; many platforms are user-friendly and designed for everyone.
Myth 2: Companies can build AI agents internally
Reality: Building an AI agent internally sounds great but is harder than it seems. It takes time, money, and specialized skills. Most companies find it easier to use an existing AI platform or service, instead of building one from scratch. Ready-made AI solutions can save you a lot of effort and get results faster.
Myth 3: You need clean data to start with AI agents
Reality: Having clean data is good, but it is not always necessary at the start. AI agents can often work with imperfect data and improve over time. Advanced systems can help clean and organize your data as they learn. So, don’t let messy data hold you back!
Myth 4: AI agents are not consistent in output
Reality: AI agents have improved a lot in providing consistent results. But like any system, they can have errors if they’re used outside their training data or in unfamiliar scenarios. Still, with proper testing and monitoring, AI can give reliable and stable outcomes in finance.
Myth 5: AI is approaching human intelligence
Reality: AI is smart, but it is not like human intelligence. AI systems can beat humans at specific tasks, like playing chess, but they don’t truly “think” or understand. For example, an AI can create music based on patterns, but it doesn’t understand what music is. AI can recognize patterns and make predictions but lacks human-like creativity and reasoning.
