The most valuable startup employees ("10x joiners") leverage AI to execute at the level of a full team. Instead of looking to hire direct reports, they bring a suite of AI agents and workflows, enabling companies to achieve massive scale with tiny headcounts.

The idea of a single founder building a billion-dollar company, once a tech meme, is now achievable. AI provides the leverage of a massive workforce, shifting the key skill from managing people to productively directing swarms of AI agents.

Previously, teams needed specialists ('ammunition') to execute tasks. With AI copilots, a single, high-agency individual ('barrel') can now build entire products. This changes hiring strategy to prioritize resourceful generalists who can leverage AI to knock down doors and get things done independently.

In a world where AI handles routine tasks, the most valuable human contribution is the initiative to solve problems independently. ElevenLabs prioritizes hiring for "agency," seeing it as the ultimate amplifier for an individual's impact, regardless of their seniority. High-agency people are the winners of the AI era.

Finding people who can effectively deploy AI agents is hard. Instead of sifting through LinkedIn for "AI experience," the best talent pools are top-performing Forward Deployed Engineers from AI companies or intellectually curious internal employees who deeply understand the business context.

True AI-native companies apply AI beyond their external products. They create dedicated internal teams to help employees leverage new AI tools, like LLMs, to boost their own productivity. This is a deliberate, culturally ingrained motion to ensure the entire organization moves with technological shifts.

Lovable prioritizes hiring individuals with extreme passion, high agency, and autonomy—people for whom the work is a core part of their identity. This focus on intrinsic motivation, verified through paid work trials, allows them to build a team that can thrive in chaos and drive initiatives from start to finish without supervision.

The paradigm for employees shifts from being an individual contributor to being a manager of AI agents. Success is no longer just direct output, but the ability to effectively set up, direct, and manage a team of autonomous agents to achieve goals.

At the AI-native company Cursor, roles are "really muddy." Team members contribute based on individual strengths—like visual design or systems architecture—and use AI agents to bridge skill gaps and tie work together. This creates a more fluid and efficient team structure.