How staying small became AI startups’ biggest flex

Subscribe to enjoy similar stories. Boosted by powerful new artificial-intelligence tools, Silicon Valley startups are running leaner than ever, spawning new benchmarks like revenue-per-employee and even talk of the billion-dollar, one-person company. AI coding products like Anthropic’s Claude Code and OpenAI’s Codex, along with AI tools for sales, marketing and other functions, have reduced the need to hire, some founders and Silicon Valley insiders say.

“AI itself is just a very big enabler," said Burkay Gur, co-founder and chief executive of AI startup Fal. “We are definitely in the camp where we take people who are extremely productive, and they become insanely productive with AI," he said. It might only be the beginning.

The rise of independent AI agents means a single human entrepreneur could be aided by thousands, or millions of such bots, said Steve Jang, founder and managing partner of Kindred Ventures. But some entrepreneurs say there is such a thing as being too lean, especially when selling to corporate clients who demand a human touch. Startups are trying to find the right balance.

The lean trend is particularly apparent for early-stage startups, where some founders are chasing the dream of the so-called billion-dollar, single-person startup. Median head count at Series A startups fell from about 57 employees in 2020 to about 44 in 2024, with companies becoming “increasingly lean and AI boosting productivity per employee," said PitchBook senior AI analyst Dimitri Zabelin. “There’ll be this huge movement of software engineers and product managers who will build very, very small head count businesses that drive $5 million to $15 million [in annual recurring revenue] and be thrilled with it, because of AI,"