- Research from Harvard Business School and INSEAD shows that AI-native startups hire fewer entry-level employees compared to traditional startups.
- The study analyzed startups in Y Combinator from 2020 to 2024 along with many US venture-backed startups during the same period.
- AI-native startups are defined as businesses that both use AI to increase internal productivity and integrate AI directly into products provided to customers.
- AI-native startups have a workforce size approximately 25% smaller than non-AI-native counterparts.
- The proportion of engineers in the workforce is about 13% higher, reflecting a massive demand for technical capabilities.
- The percentage of entry-level employees and managers is both about 15% lower than in other startups.
- Conversely, the proportion of senior personnel is about 20% higher, indicating that businesses prioritize hiring experienced experts.
- Personnel at these startups often graduate from prestigious universities, are concentrated in Silicon Valley, and are predominantly male.
- The results raise questions about the notion that AI will expand career opportunities for all types of workers.
- Researchers warn that uneven access to and use of AI could widen the competency gap between workers as well as between business founders.
📌 Research shows that being AI-native not only changes how businesses operate but also reshapes recruitment strategies. Instead of expanding opportunities for new personnel, AI-native startups prioritize smaller teams with more engineers and experts, with size reduced by 25%, the ratio of senior personnel increased by 20%, and entry-level employees decreased by 15%. This trend could increase the gap in skills, career opportunities, and inequality in the labor market as AI becomes more prevalent.
