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Korea Business Review

startup

Startup Early Buildup Strategies Are Changing: The Era of 'Hiring People First' Is Over

According to Carta's second-half 2025 report, the median seed team size has dropped to 4 people, and average headcount for Series D companies has decreased by 29% from its peak, reflecting smaller teams across both early and late stages. Meanwhile, 25% of startups in Y Combinator's Winter 2025 batch generated over 95% of their codebase using AI, altering the very constraints of initial organizational design. Organizational structures are shifting away from functional teams toward principles of 'automated review before hiring, generalists first, and delayed management layers.' As writing code becomes cheaper, the value of problem definition, data, and distribution increases, while an investment environment heavily skewed toward AI (rising from 40% in 2025 to 54% in early 2026) places earlier pressure on non-AI startups to prove revenues. The trade-offs include pressure on core talent compensation, technical debt from AI code, and a loss of institutional learning, meaning smaller teams must bring documentation and quality checks forward.

강지혜 선임기자Published 2026년 9월 8일Updated 2026년 9월 8일
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Startup Early Buildup Strategies Are Changing: The Era of 'Hiring People First' Is Over

According to Carta's second-half 2025 report, the median seed team size has dropped to 4 people, and average headcount for Series D companies has decreased by 29% from its peak, reflecting smaller teams across both early and late stages. Meanwhile, 25% of startups in Y Combinator's Winter 2025 batch generated over 95% of their codebase using AI, altering the very constraints of initial organizational design. Organizational structures are shifting away from functional teams toward principles of 'automated review before hiring, generalists first, and delayed management layers.' As writing code becomes cheaper, the value of problem definition, data, and distribution increases, while an investment environment heavily skewed toward AI (rising from 40% in 2025 to 54% in early 2026) places earlier pressure on non-AI startups to prove revenues. The trade-offs include pressure on core talent compensation, technical debt from AI code, and a loss of institutional learning, meaning smaller teams must bring documentation and quality checks forward.

Startup Early Buildup Strategies Are Changing: The Era of 'Hiring People First' Is Over. Seed Teams of 4, AI Codebases at 95%... How to Rebuild Organizational Structure, Direction, and Strategy Until just a few years ago, the early buildup formula for startups was simple. Validate an idea, secure funding, hire people once funded, and divide the organization as headcount grew. Scale of hiring was proof of growth, and it was taken for granted that headcount would increase with each subsequent funding series. However, this formula is now collapsing. Following the chilled funding environment of 2023, the practice of 'hiring lean' took root, and from 2025 onward, AI transformed that practice into an entirely new principle of organizational design. Teams founding companies today are building them with significantly fewer people, much faster, and in radically different ways than before. The Red…

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