Gender-stereotyped career advice and salary gaps define the current output of many AI systems. Mahzarin Banaji warns that these tools reproduce the prejudices of their creators rather than eliminating them. This systemic failure compromises fairness in automated hiring and financial planning. Practitioners must implement stricter auditing to prevent these ingrained biases from scaling.