Machines can learn from data. Should humans still learn statistics?

Artificial intelligence can already analyze massive datasets, build predictive models, and discover patterns that humans might never notice. Machine learning systems can train on millions of data points in minutes. AutoML tools can build entire pipelines automatically. AI assistants can generate code and statistical analysis almost instantly. So a natural question appears: If machines can analyze data for us, why should humans still learn statistics? Is statistics becoming obsolete for humans? Or is it actually becoming more important than ever? The Reality The truth is that machines are extremely good at computing, but they are still limited when it comes to understanding. A machine learning model can optimize a loss function. It can find correlations. It can produce predictions. But it cannot answer deeper questions like: Are these results statistically reliable? Is this correlation meaningful or accidental? Is the model biased? Are we interpreting the results correctly? This is wher