Andrew continued. “Not as charity. As investment. I want to build a division focused on using AI and mathematical systems to address problems most companies ignore—education access, health inequity, urban infrastructure, resource allocation. Real problems. Problems people in boardrooms talk about abstractly and communities live concretely. You understand both sides. That makes you rare.”
Noah was silent for several seconds.
“That’s… a lot.”
“It is.”
“I’m sixteen.”
“You won’t stay sixteen.”
Noah smiled at that despite his shock.
Andrew leaned back. “Think of this as me being selfish. I’d rather start the conversation now than watch someone else figure out your value first.”
On the third day, Noah faced the final round: an individual presentation built around an open-ended real-world problem. His assigned topic involved modeling the spread of infectious disease in densely populated urban communities and designing a predictive prevention framework.
It was exactly the kind of problem he loved—mathematics braided tightly to human consequence.