Rethink Your Career
Knowing that AI is changing jobs (Day 6) is one thing. Having a strategy is another. Today we'll build that strategy — a practical framework for making your career AI-resilient.
The skill spectrum
Not all skills are equally vulnerable to AI. Think of it as a spectrum:
AI-vulnerable skills (left side): Tasks that are routine, rule-based, and information-heavy. Data entry. Basic writing. Standard analysis. Template-based work. Translation. Scheduling. These are being automated fastest.
AI-resilient skills (right side): Tasks that require complex human judgment, deep relationships, physical presence, or novel creativity. Strategic thinking. Empathy-driven leadership. Crisis management. Original creative vision. Complex negotiation. Physical craftsmanship.
Most people's jobs sit somewhere in the middle — a mix of vulnerable and resilient tasks. Your goal is to shift your mix toward the resilient end.
The three career moves
Here's your practical career playbook for the AI era:
Move 1: Become the AI person in your current role. Whatever you do now, become the person on your team who knows how to use AI to do it better. This is the fastest, lowest-risk move. You don't change jobs — you change how you do your job. The "AI person" on any team is the last one to be let go and the first one to be promoted.
Move 2: Move toward uniquely human skills. Actively develop skills that AI can't replicate — relationship building, leadership, complex judgment, creative direction. If your job is 80% tasks that AI could do, start volunteering for the 20% that requires human insight. Make that 20% your identity at work.
Move 3: Use AI to build leverage. Instead of just using AI to do your current job better, use it to build something on the side. A consulting practice. A content platform. A product. A service. AI gives you the ability to build things that previously required a team. Use that power to create options for yourself — so you're never fully dependent on a single employer.
What to stop doing
Just as important as what to start doing is what to stop investing in:
Stop banking on credentials alone. A degree or certification used to signal competence for decades. Now, the half-life of professional knowledge is shrinking. What matters is demonstrated capability, not a diploma.
Stop optimizing for one narrow specialty. Hyper-specialization was rewarded in the old economy. In the AI economy, adaptability and breadth are more valuable. The person who can use AI across multiple domains is more valuable than the expert in one domain who can't use AI at all.
Stop assuming stability. The idea that you'll work one role at one company for years is becoming less and less realistic. Build your career like a portfolio — diversified, with multiple income sources and skill sets.