Topic Hub
Professional Formation & Reinvention
How will professionals develop and remain valuable as AI changes the work?
Professional capability has historically been built inside work: first drafts, difficult cases, review, correction and progressively larger responsibility. AI changes that learning environment at the same time that it changes the work itself.
01 · Start here
What happens when the work that trained you disappears?
What Happens When AI Removes the Work That Used to Develop Professionals?
Automation can remove burden and still remove developmental exposure. If the task was carrying apprenticeship, its learning function has to be redesigned somewhere else.
02 · Core arguments
The core arguments.
Your Career Has a Curriculum
Every career contains a learning sequence. The question is whether that sequence is developing transferable capability or only current usefulness.
Productive Difficulty: What AI Should Not Make Too Easy
Some work is worth preserving because it forms capability the professional will later need under greater consequence.
Prompting Is Not Workflow Design
Role redesign requires an end-to-end view of work, not simply greater individual fluency with AI tools.
03 · Questions people are asking
Questions people are asking.
- What happens to junior development when entry-level work is automated?
- Is my current job still developing capabilities that will transfer?
- What should I continue practising independently?
- How do I redesign a career when the work itself is changing?
- What counts as experience when AI performs much of the visible task?
04 · Connected authored work
The Self-Curriculum.
The Self-Curriculum
A personal learning architecture for taking greater ownership of what you are becoming.