Today, we hear the debate every day: are we in an AI bubble now? Some say yes, pointing to trillion-dollar valuations on unproven revenue; others disagree, citing real productivity gains.  But the real question investors should ask is: If we are in an AI bubble, what traits will help companies survive and continue growing after the burst?

With the rise of AI hype, we hear it everywhere. Founders pitch themselves as AI-first or AI-native. The labels sound impressive, but what do they actually mean? And more importantly, what distinguishes companies that merely use AI from those fundamentally built on it?

Raising capital can shape the entire future of a startup, but before term sheets, KPIs, and financial models, there is one moment that sets everything in motion.

From the beginning, finance was my first and only choice. It’s a field that connects the present to the future, a language of numbers that helps you understand the world and shape what comes next.

Studying actuarial science turned out to be one of the best decisions I made early in my career. Even though most people associate the field with insurance, it gave me a strong foundation that eventually led me into investment analysis.

التنس بالنسبة لي أكثر من مجرد رياضة، هي مدرسة ذهنية تعلّمني التركيز، الحضور الذهني، والمرونة.

في كل نقطة أتعلم كيف اتعامل مع الضغوط، انسى الأخطاء، وأعود الى اللحظة. هذه المقالة تلخص كيف غيّرت التنس طريقة تفكيري داخل الملعب وخارجه.

Fundraising can feel like a black box, but it doesn’t have to. After reviewing hundreds of pitches, I’ve noticed clear patterns that separate an “interesting idea” from a “serious opportunity.” Here’s a simple, friendly breakdown of what truly matters inside a VC’s decision-making process.