Career Contessa How to Manage in The AI Era
Feb 3, 2026
Julie Zhuo, author and product leader who rose from intern to VP of Product Design at Facebook and co-founded Sundial. She talks about leading teams with AI as collaborators. Discussion covers how AI exposes clarity gaps, why productivity gains can create new bottlenecks, using AI to rehearse hard conversations, and which leadership skills grow in importance.
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Define Clear Success For AI Like A Junior Employee
- Effective AI use looks like strong management: define clear purpose and concrete success criteria before asking AI to help.
- Julie Zhuo compares AI to a junior employee that needs tightly scoped goals and decomposition to be useful.
Don't Confuse Local Speed With System Efficiency
- Avoid the productivity trap where faster output creates more downstream work; tune the whole system not just the front end.
- Julie Zhuo gives the example of AI writing more code that increases burdensome code review and test case work.
Engineer Found AI Increased Review Time
- An engineer Julie spoke with produces code faster with AI but now spends far more time reviewing messy AI-generated code.
- The review burden rose because AI output contains missing edge cases and more volume, offsetting coding speed gains.
