During discussions about education I regularly encounter two popular arguments. First: "Mathematics is just plugging numbers into formulas. I never needed it in real life." Second: "Why study math if there's ChatGPT?" Both arguments only sound logical at first glance.
Mathematics Is Not About Formulas
When people talk about mathematics, they often think of equations and complex formulas. But in real life we use mathematical thinking far more often than it seems: assessing risks, making financial decisions, comparing options, working with uncertainty, finding logical errors. Is it worth buying on installments? Can you trust certain figures in advertising? This is all mathematics in real life.
What Artificial Intelligence Has Changed
With the advent of large language models, many people started to believe that the need for mathematics was disappearing. In reality, the opposite is happening. AI answers the questions it is asked very well. The problem is that it doesn't always know which questions need to be asked. If a task is incorrectly formulated or important parameters are missing, the model will still try to give an answer — and it may look very convincing.
AI Answers the Question It Is Given
In working with AI, situations frequently arise where a small change in input data radically changes the result. The problem isn't that the model is 'wrong' — most often it simply answers the prompt it received. If a person didn't account for important variables, AI won't always be able to understand the context on its own.
This is where mathematical thinking becomes essential. A person needs to be able to ask themselves a few simple questions: is there enough data to draw a conclusion? Which factors might influence the result? What assumptions are we making? What might be getting overlooked?
The Answer Is Not the Main Thing
Perhaps the most important skill of the future is not the ability to find answers — AI is already good at that. What becomes far more important is the ability to formulate the right questions, verify input data, analyze the results received, and make decisions based on information. And this is largely what mathematics teaches.
Mathematics is needed not because people will have to perform complex calculations by hand. It's needed because AI can help find an answer, but determining whether that answer is correct will still be up to humans.
