AI-Native Startups Reduce Entry-Level Hiring, Harvard Study Finds

A new joint study by researchers at Harvard Business School and INSEAD has revealed a significant shift in the hiring strategies of artificial intelligence (AI)-native startups. These companies, which integrate AI into their operations and products, are building smaller, flatter teams compared to their traditional counterparts and are hiring fewer entry-level workers. This trend signals important changes for the future of the labor market within the technology sector.

The study, titled "AI-Native Firms," examined Y Combinator startups and a broader set of US venture-backed companies between 2020 and 2024. The research indicates that AI-native firms are 25% smaller than their non-AI counterparts and employ approximately 13% more engineers. Furthermore, the share of entry-level workers and managers in these companies is roughly 15% lower. This transformation stems from companies utilizing AI primarily through two channels: the process channel (internal use to enhance employee productivity) and the product channel (direct integration into products).

Researchers Hyunjin Kim (INSEAD) and Rembrand Koning (Harvard Business School) note that the share of senior workers at AI-native startups is 20% higher, and these firms tend to attract a specific type of expert talent. This finding challenges the widely accepted premise that AI is reshaping the lower rungs of the career ladder, allowing entry-level workers to take on bigger responsibilities sooner by automating routine tasks. Instead, the study suggests that AI is creating a greater demand for expert-level talent and is concentrating opportunities rather than democratizing them.

This trend could have significant implications for the broader labor market and economic growth. The fact that AI-native firms maintain comparable valuations with smaller teams indicates an increase in capital and valuation per employee. While this demonstrates the potential for companies to generate higher efficiency and value with fewer human resources, it could simultaneously make entry-level hiring more challenging for young professionals due to a reduction in such positions. Declines in entry-level job postings are observed particularly in sectors highly exposed to AI, such as finance and technology.

The impact of AI on the labor market is part of a broader transformation in the global economy. The rise of generative AI tools like ChatGPT has heightened concerns about the technology's potential effect on employment. Some research indicates that AI reduces employment in jobs involving routine and repetitive tasks while increasing demand for roles requiring more analytical, technical, and creative skills. In this context, companies accelerating their AI investments are reshaping workforce plans, leading to thousands of layoffs.

Analysts and market observers suggest that this situation is not eliminating the lower rungs of the career ladder but rather repositioning them. The task for employers is to prepare young workers for higher value-added tasks and to create new entry points for more complex jobs where AI plays an accelerating role. In the future, companies will need to develop AI talent at all organizational levels, considering not only current needs but also future capabilities. This indicates that human-AI collaboration will be key to the labor market's transformation.