Why can't we just write traditional programs for all problems instead of using Machine Learning?

Some problems are too complex, have too many variables, or change too frequently for traditional rule-based programming to handle effectively.\n\n• Complexity: Too many possible scenarios to code manually\n• Pattern Recognition: Humans can't identify all subtle patterns\n• Dynamic Changes: Rules change faster than programmers can update\n• Scale: Processing millions of data points requires automation\n\nExample: Writing rules to recognize handwritten digits would require thousands of conditions for different handwriting styles. ML learns from examples automatically. Weather prediction involves countless variables that change constantly.