06 Do you Need a Lab Coat to Lead AI
Hot take: Data science is vital—but not the whole job. AI experts aren’t just model builders—they’re system builders. Real AI expertise = strategy + integration + adoption. A short read on the enterprise stack that cuts risk and cycle time.
05 Will AI Make Us Lazy or Sharper Thinkers?
Remember when people said Google would make us stop thinking?
“Search engines will dumb us down.”
Reality: Google didn’t kill curiosity — it amplified it.
We’re hearing the same fears about AI today.
But here’s the truth: AI doesn’t replace critical thinking, it requires it.
Lazy will stay lazy.
Learners will get sharper.
The real skill? Knowing how to ask the right questions.
04 Why Big Tech Is Paying a Few AI Geniuses Crazy Money
🚨 $250M for one AI researcher?!
No, Big Tech hasn’t lost its mind—it’s playing a high-stakes talent game for a handful of people who can rewrite the future of AI.
This isn’t about every engineer getting yacht money.
It’s a sniper hunt for the few who:
💡 Invent new AI paradigms
⚡ Turn theory into breakthroughs
🏆 Deliver tech that defines the next decade
Welcome to the AI gold rush for brains—and why only a select few get the crazy offers.
03 Delivery Isn’t Dead: Why Execution Is the New Differentiator
In the AI era, everyone’s chasing strategy. But the real winners? They deliver.
Here’s why execution is your unfair advantage—plus how AI can make it even stronger.
02 Agents vs. Agentic Systems: What’s the Real Difference—and Why It Matter
In the sea of AI terminology, two words are being thrown around more than most: agent and agentic. They sound similar, and the hype around both is loud—but if you’re leading a business, understanding the difference isn’t just helpful. It’s essential.
01 What Intelligence Training Taught Me About Business Strategy
The most powerful lessons I learned interrogating in the field now shape how I lead AI and business transformation. This post kicks off my new blog—real-world strategy, no fluff.