Handshake discovered that its network of 500,000 PhDs and 3 million advanced-degree holders represented the world’s largest pool of academic experts—perfect for high-quality AI data labeling. This insight led to a new 'startup within a startup' focused on supplying frontier AI labs with expert-generated training data. Unlike traditional labeling that relies on generalists or low-paid labor, Handshake leverages trusted, pre-vetted experts who provide accurate, reasoning-rich feedback crucial for improving advanced models. The business hit $50M in revenue in four months and is on track for over $100M in its first year. To scale quickly, Handshake built a separate team with entrepreneurial ownership, enabling agility and speed. Far from replacing entry-level jobs, AI is augmenting them—students and young professionals use AI tools to become far more productive. As AI models demand increasingly sophisticated data, access to real-world expertise becomes a key bottleneck, positioning Handshake’s expert-driven approach as a critical advantage in the next phase of AI development.