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Leaders on AI Adoption

George Farag on the Hardest Part of AI Careers: What to Learn Next

The hardest part for young professionals is no longer learning technology. It is figuring out what to learn next.

George Farag, a third-year computer science student at Sheridan College who leads the Google Developer Group chapter there, put that challenge plainly in our recent conversation.

He has been coding since he was 10. Yet none of the tools he started with are the tools he uses today. Some of what students learn in their first years of school may be outdated by graduation.

His advice

Don't run from what you don't know. Write it down. Look it up. Test it. Learn from people who are already a few steps ahead.

AI should not replace the work of learning. It should help young professionals move from fear to practice.

Why this matters for teams adopting AI

That is also why mentorship matters more now, not less.

Rob Kamranpoor said connection is only the first step. A real network is built by staying in the relationship.

Sameer Lal added the other half: networking is not only about what you can take. It becomes valuable when you give back too.

The people who will thrive in this period are not the ones who pretend to know everything.

They are the ones willing to ask better questions, keep learning, and enter rooms ready to listen.

This conversation was part of the leader interviews for the YPLS Club Summit (October 3, 2026, Arcadian Court, Toronto).

First shared on LinkedIn.

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