Compass Program
Career Compass
Redesign your career before AI does it for you.
For engineers and managers with solid careers who, for the first time, don't know the next step. I'm CEO of an AI company. I don't talk about this as an observer. I talk as someone who hires, manages and makes decisions every day about which roles AI replaces and which it amplifies.
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- Data
The ground you're competing on
of knowledge workers already use generative AI at work.
Microsoft, Work Trend Index
of professional skills are expected to change by 2030.
LinkedIn, Workforce Report
new jobs will be created globally by 2030 - but not for those who stayed still.
World Economic Forum
- Context
You're managing today's career with a 2010 playbook.
AI isn't going to replace everyone. But in three years it has rewritten what it means to be an engineer, a manager, a director. You feel behind. You know you need to update. But you don't have time, you don't know where to start, or you cling to LinkedIn gurus selling certainty to people who need answers. The next few years will be a bloodbath for solid careers that decided to wait and see. Not from lack of talent. From an excess of inertia. The difference between those who reposition and those who fall behind isn't intelligence. It's decision.
- Fit
Sound familiar?
- Senior software engineer who sees code being automated and doesn't know whether to specialise or generalise.
- Manager or director with an MBA who needs to understand if their role will still exist in 3 years.
- Professional with 10 to 25 years of experience who, for the first time in life, doesn't know the next step.
- Smart, accomplished people who refuse to sit still and wait to see.
- Not for
Not for everyone.
- You want to learn ChatGPT. There are online courses for that.
- You're early in your career. This isn't career counselling for juniors.
- You want me to tell you: go into data science. There are no recipes.
- You're not willing to question everything you've built so far.
- Work
What we work on.
Exposure diagnosis
How vulnerable your current role is to automation. Real analysis, not panic.
Skills map
What you know that still has value. What's losing value. What you need to learn.
Strategic positioning
How you become the person companies need in the new paradigm, not the one they replace.
AI as leverage
Don't compete with AI. Use AI to multiply your value. Real cases, not theory.
Career decisions
Stay vs leave. Corporate vs entrepreneurship. Specialise vs generalise. Local vs international.
Narrative and personal brand
How to communicate the transition without sounding desperate. LinkedIn, positioning, network.
"The question isn't whether AI will change your career. The question is whether you'll still be the one deciding how."