Book list

• It gives you a useful way to break down your job. One of its central ideas is "Jobs Are Tasks, Not Titles." Instead of thinking "I'm a developer," "I'm a marketer," or "I'm a manager," you examine the individual tasks that make up that work.
• It helps you decide what AI should handle. The book uses a three-bucket approach: tasks AI can perform, tasks where you work together with AI, and tasks where human involvement provides the greatest value. That's something you can apply immediately to your own workflow.
• It provides a different model of career progression. Another chapter is called "Careers Are Climbing Walls, Not Ladders." The idea is useful when skills and roles are changing quickly: career progress can involve sideways moves, new skills, experiments, and changing directions.
• It identifies the human skills that become more valuable alongside AI. The authors emphasize five: curiosity, courage, creativity, compassion, and communication.
• It turns the ideas into actions. The book concludes with a 30-60-90-day plan for increasing AI fluency, strengthening human capabilities, and adapting how you work.
• The authors have an unusually interesting dataset behind their perspective. Roslansky led LinkedIn, while Raman is LinkedIn's Chief Economic Opportunity Officer. That gives them visibility into changes in skills, hiring and careers across LinkedIn's enormous professional network.

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