Career planning describes the deliberate, long-term management of one's professional development. Instead of reacting from role to role, goals, possible paths, required competencies and life phases are considered. Classic tools include the four-field matrix (What can I do? What do I want? What is needed? What pays for it?), regular self-checks and CV reviews.
Good career planning is iterative: it shifts with experiences, market changes, personal values and external shocks. Anyone running a career check every one or two years – with or without a coach – maintains an overview and can plan moves early.
In the AI era three topics become more important: AI safety of own activities, continuous further education and building a clearly profiled specialisation. Investing early in robust areas pays off long-term.
Lunigi supports career planning indirectly: continuous market insight without active search effort shows where the market for one's own competencies is moving.