People in their early 20s are the first truly "AI-native" generation, using AI from the ground up in their engineering process, making them fundamentally faster. To innovate, companies must hire these young engineers to teach the rest of the organization new problem-solving approaches.

Silicon Valley's pro-youth bias is amplified in AI because the field is so new. Founders unburdened by "old world" industry practices can develop more contrarian, and often correct, theses. Experience in legacy systems becomes a liability when the entire paradigm is shifting.

In the current AI paradigm shift, experience building and selling traditional SaaS products is less relevant. Young founders, as native adopters of new AI technology, are at an advantage because everyone is rewriting the rules in real-time, leveling the playing field.

AI startup Serval hires entrepreneurial engineers for enterprise deployment roles, framing it as a training ground for their future startups. By giving them real-world experience, accelerated vesting, and connections to top VCs, they attract top talent who can solve complex implementation challenges, turning their talent pipeline into a GTM advantage.

In the current AI wave, young founders possess a unique advantage: they never learned the 'old way' of doing things. This lack of pre-AI mental baggage allows them to rethink entire workflows from first principles, giving them a speed and innovation edge over experienced operators who must first 'unlearn' old habits.

Gokul is a huge fan of the trend toward very young founders, noting he's invested in more dropouts recently than in the past 15 years. He believes they are "AI maxing"—natively adopting AI tools to live and breathe differently, giving them an operational edge.

The ideal founding team for an AI startup can be an age-differentiated pair. A young, AI-native founder brings contrarian ideas and speed, while an older co-founder with big-tech experience provides structure, best practices, and operational discipline, creating a powerful balance.

Lovable's hiring strategy combines talent straight from school, who grew up with AI and lack preconceived limits, with experienced professionals who bring industry patterns. This creates a powerful dynamic where both groups learn from each other.

There's a growing belief in venture that experienced, second-time founders may be at a disadvantage in the AI era. Younger founders who grew up natively with new tools can move faster because they don't have to unlearn established, but now obsolete, ways of working.