Tutorials · Chapter B (2/4) · ~10 min

Careers in AI

Try it → see it → read → next

Choose a next experiment, not a forever title.

Try yourself

Careers

Pick a 2-week experiment

Role cards show experiments — not forever titles. Pick one and lock it.

Recap

What you just did

CareerExperimentPicker offered Ops, Product, Data, Engineering, and Domain experiments — a 2-week test, not a forever title.

Teach

How it works

Explore four broad paths:

Build — software, data, models, infrastructure
Apply — use AI deeply in a profession or industry
Shape — product, design, operations, education, marketing
Evaluate and govern — quality, safety, policy, security, compliance

Use evidence from your own experience:

Things I enjoy: explaining hard ideas, interviewing people, editing
Current skills: classroom teaching, spreadsheets, basic research
Constraints: 4 hours per week; no career break

Suggest 3 AI-related path experiments.
For each give:
- one role family, not a guaranteed job title
- skills I already transfer
- one skill gap
- a 2-week portfolio project
- one working professional I could learn from
Do not predict salary or hiring chances without current sources.

Then validate outside the chat. Read current job descriptions, compare repeated requirements, talk to people doing the work, and build something small. Titles change quickly; demonstrated judgment and domain knowledge travel better.

Use it

When you'd use this

Exploring how AI changes your current field
Choosing a course or portfolio project
Translating existing experience into new role families

Watch out

Career advice from AI can be outdated, generic, or biased toward highly visible tech jobs. Verify labor-market claims with current sources. Do not assume every role needs advanced math — or that a weekend prompt course guarantees employment.

Try next

Try this next

Collect five real job descriptions from one path. Highlight repeated skills, tools, and outcomes, then choose one gap that a small project can demonstrate.