Hiring specialists made sense before AI — now generalists win

Tony Stoyanov, CTO of EliseAI, observes a shift in tech hiring preferences due to the rapid evolution of AI. In the past, tech companies favored specialized roles, but the accelerating pace of AI development necessitates a new approach. The ability to learn and adapt quickly is now more valuable than specialized expertise, as the field changes too rapidly. AI lowers the barrier to entry while increasing expectations for real expertise, making adaptability key. The most effective engineers work across disciplines, bridging engineering, product, and operations. Many companies still operate with outdated structures that hinder adaptation, while a modern approach prioritizes accountability, adaptability, and first-principles thinking. Strong generalists possess breadth and depth, connecting information rather than simply collecting it. Essential traits include ownership, adaptability, and strong communication skills. Stoyanov's team embraces this shift by fostering adaptable builders who use AI tools to learn and execute confidently. The AI era prioritizes curiosity and initiative over traditional credentials, making it a prime time for generalists. The future of tech, according to Stoyanov, belongs to adaptable generalists and the organizations that embrace them.