Career with AI, not against it

The big misunderstanding

The "AI takes jobs" narrative obscures a more important truth: AI displaces junior tasks and creates senior roles. In every profession, certain tasks used to be junior work — today AI does them in seconds, and the senior becomes director of their own little team of AI agents.

So the question isn't "AI or me?" but "How do I become 5x more productive with AI — and prove it to my market?"

Three profiles of the AI era

1. The losing pattern: AI avoider. Pretends AI doesn't exist. Keeps working like 2020. Gets overtaken in 2–5 years by colleagues or competitors who deliver 3x as much for the same pay.
2. The transitional pattern: AI user. Uses ChatGPT for emails, bullet points, basic research. Saves time but doesn't fundamentally change the value created. Stays mid-term replaceable.
3. The winning pattern: AI director. Combines own domain expertise with AI workflows into a 5–10x more productive profile. Takes more responsibility, less execution — and earns senior pay.

How to become an AI director

1. Routine inventory

For one week, write down how you spend your time. Tag each task:

• 🟢 Keep: empathy, negotiation, creative vision, accountability
• 🟡 Augment: you do it faster with AI, but final judgement stays with you
• 🔴 Delegate: entire tasks AI can handle alone

Goal: delegate 50% of red and yellow tasks to AI within 6 months — reinvest the freed time in green tasks.

2. Build workflow blocks

Anyone with standard tasks in a knowledge job can build reusable AI blocks — even without coding skills:

• Custom Instructions / Custom GPTs for recurring tasks
• Prompt library on the team wiki (bring colleagues along)
• Zapier/Make automations with AI steps
• Industry-specific tools (Harvey for law, Tome for pitches, Cursor for code, Notion AI for docs)

3. Double down on domain knowledge

AI is a generalist. You're (hopefully) a specialist. Where generalism falls short, you win:

• Your market knowledge: which customers need what — AI doesn't know that in real-time.
• Your relationships: trust AI fails to build.
• Your context: political, cultural, organizational nuances of your company.
• Your taste: what makes a great vs. mediocre output in your field? AI only knows the average.

4. Make it visible

People who use AI well are poorly served by silence. Make your productivity gains transparent:

• On the team: show colleagues how you solve things — be the workflow pioneer.
• In promotion talks: document AI-augmented output gains with numbers.
• On LinkedIn: write occasionally and concretely without hype — useful examples from daily work.
• In your industry: in 1–2 years, the AI-champion role will become its own title. Be early.

Warning: senior profiles aren't for everyone

Not everyone can become an AI director. Path prerequisites:

• Solid domain knowledge (5+ years professional experience)
• Relationships not easily replaced
• Willingness to actually learn new tools — not surface-only
• Openness to take responsibility instead of execution

If those don't apply, you're better served by re-skilling or sidegrading.

Concrete: 30-day plan

1. Day 1–7: routine inventory, tag every task.
2. Day 8–14: delegate three red tasks to AI as a test — measure quality.
3. Day 15–21: build first workflow blocks (prompts, custom GPTs), share with team.
4. Day 22–28: talk to your manager about an evolved role — more responsibility in exchange for faster delivery.
5. Day 29–30: document outcomes, write next-month plan.

AI-resistant professions have one advantage: less acute threat. AI-augmented professionals have a different advantage: they capture the margin gap of the next 5 years. Both strategies are valid — the worst one is having none.