I’ve been meaning to write this with a bit more calm for a while.
Out of the 16 MBA courses, I’ve now completed 10. Everything from Business AI to Decision Making. It’s been almost four intense months, fitting study wherever I could: spare moments, nights, weekends, gaps between work and personal life. Not always with energy — often just through consistency.
So far, this first phase has been fairly manageable. A lot of technology, data, marketing, product, and decision-making. Areas I was already touching in my professional day-to-day or personal projects, but that here came with something I don’t always find outside: structure, shared language, and a clear mental framework.
I haven’t learned anything magical.
What I’ve learned is how to organize ideas I already had scattered around.
And that, even if it sounds small, is worth a lot.
Easy doesn’t mean shallow
During this first phase, it felt like I was moving fast. Not because it was trivial, but because it connected well with my technical background. Business-oriented AI, data analysis, e-commerce, SEO, marketing, agile methodologies… everything mapped nicely to past experience.
But I also realized something important: we often think we know a topic just because we use it. When you have to put it into words, justify decisions, or analyze it from the outside, gaps start to appear.
So far, the MBA has been more of a mirror than a source of brand-new knowledge.
Now comes the uncomfortable part
What’s left is much less about technology and much more about people, operations, accounting, finance, and the business plan. Pure business.
It’s not the part that excites me the most, and it’s definitely not where I feel strongest. But precisely because of that, it’s where I see the most long-term value.
If I want to make fewer blind decisions in real projects — my own or others’ — I need to better understand what’s underneath: costs, margins, structure, organization, incentives, real trade-offs.
Not to become an expert in everything, but to have better judgment.
2025: consistency over epic moments
This MBA has also been running in parallel with a strange year, both personally and professionally. A lot of tiredness, some mental blocks, plenty of autopilot… until, towards the end, things started to click.
There were important decisions, projects that were paused, and focus that had to be reset. Stopping ideas like Laiboris or ClinicWise wasn’t giving up — it was understanding that not everything needs to move forward at the same time. Choosing when not to push is also a form of progress.
The same happened with AI: less hype, more judgment. Less “building for the sake of it” and more thinking before creating. Using it as support, not as a replacement for thinking.
📈 Moving forward, but better
The goal for this year isn’t to rush or to finish the MBA exhausted.
It’s to complete it calmly, without stopping, and to use it as a tool to make better decisions in real contexts.
Not memorizing theory. Gaining perspective.
After more than 15 years programming, I still feel like a learner.
And, interestingly, that motivates me more than ever.
There’s still work to do.
But we keep going.
I’d love your take
Have you gone through a similar phase of learning or shifting focus in your career?
Have you noticed that what excites you the least is often what helps you grow the most?
I’m reading 👇