Start here01
What should you do about your career and AI?
Start with your situation, choose one useful thing to learn and test a realistic route into paid work. You do not need to predict the future first.
Work beyond the obvious.
Understand AI, inspect the evidence and build a career strategy you can revise as work changes.
Our first issue establishes the continuing question: how can people make informed career decisions as AI changes work? These briefings remain available as the publication grows. Article publication dates may precede the issue in which they are collected.
The foundation stays available.
Starting out02
How to get started when you need experience
Choose a realistic entry route, make one small work sample and ask for feedback. You do not need to master every AI tool first.
Changing course03
How to change direction without starting over
Use what you already know to explore a nearby role. Check the work, the pay and the route in before committing to retraining.
Robotics04
Is hands-on work a good next move?
Explore practical and robotics-related work through real employers and supervised training—not a list of supposedly robot-proof jobs.
The opening argument05
Which parts of your work should you learn next?
Break one familiar task into steps. See where AI helps, where it makes mistakes and what you need to understand better.
For leaders06
How to help your team learn AI safely
Pick one small task, agree on what good looks like and give people time to learn. Measure the finished work before expanding the trial.
Human infrastructure07
Should you consider a career in care?
Care may offer a realistic route—but the specific role matters. Compare training, pay, supervision and daily working conditions before deciding.