AI-native startups hire 15% fewer junior workers, favor senior talent, Harvard study reveals

AI-native startups hire fewer juniors, Harvard finds

A Harvard Business School and INSEAD working paper finds AI-native startups are 25% smaller, employ 13% more engineers, and carry roughly 15% lower shares of entry-level workers and managers than non-AI peers. Their hires skew senior, elite-educated, Silicon Valley-based, and male, suggesting AI is concentrating rather than democratising opportunity. Startups built around AI hire fewer entry-level workers than their peers, according to a working paper from Harvard Business School and INSEAD, first reported by Business Insider. The firms are leaner, flatter, and heavily weighted towards senior technical talent. Researchers Rembrand Koning and Hyunjin Kim examined Y Combinator startups from 2020 to 2024 alongside a broader set of US venture-backed firms. They define AI-native startups by two shifts: using AI internally to make employees more productive, and embedding it in products so customers can automate work that once required human teams. The numbers are stark, with AI-native startups 25% smaller, employing 13% more engineers, and carrying roughly 15% lower shares of both entry-level workers and managers. The share of senior workers runs 20% higher, and valuations are comparable to non-AI peers, implying more value created per employee. The workers these firms do hire skew a particular way. "These workers are especially likely to be graduates from elite institutions, concentrated in Silicon Valley, and male," the authors wrote. That cuts against the hopeful reading of the AI boom, in which juniors use AI to punch above their grade and vibe coding lowers the technical bar. The paper suggests opportunity is instead concentrating among the already credentialed. The authors' deeper worry is compounding inequality, warning that if AI accelerates learning for those who use it, "differential adoption rates may translate into widening performance gaps". That applies to workers within firms and to the entrepreneurs who found them. The bottom rung is cracking The findings echo what is already visible in the labour market, where AI is killing the summer internship and graduate unemployment is climbing. Recent graduates now make up just 7% of new hires at major tech companies. Big Tech is busy converting payroll into compute, with Meta and Microsoft cutting 23,000 roles as AI spending hits records. Demand at the top is so hot, meanwhile, that AWS is putting $1bn into forward-deployed AI engineers. Even hiring itself has become an AI-on-AI arms race. For new graduates, the machines now sit on both sides of the table. The study's implication is uncomfortable for anyone selling AI as a democratising force. The technology may flatten hierarchies inside companies while steepening the climb to get into them.

AI-Native Startups Hire Fewer Junior Workers and More Senior Talent, Harvard Study Finds - Microsoft (NAS

Researchers from Harvard Business School and INSEAD said in a working paper published in June that AI-native startups are building smaller, flatter organizations while hiring fewer entry-level workers and more experienced technical talent than traditional startups. The study, titled "AI-Native Firms," analyzed Y Combinator startups from 2020 through 2024 and a broader group of U.S. venture-backed companies founded during the same period. The researchers defined AI-native firms as companies that use artificial intelligence both to improve employees' productivity and to embed AI directly into the products they sell. The researchers found AI-native startups are about 25% smaller than comparable non-AI startups while employing roughly 13% more engineers. They also have about 15% fewer entry-level employees and managers, while the share of senior workers is about 20% higher. Despite operating with smaller teams, the companies achieve valuations similar to non-AI peers, suggesting they generate more value with fewer employees. Changing Hiring Patterns According to the study, AI is reshaping hiring by reducing the need for large junior workforces while increasing demand for experienced technical employees. The authors found AI-native companies are more likely to hire graduates from elite universities, are concentrated in Silicon Valley and employ a workforce that skews male. The researchers said AI is improving productivity in two ways. Companies are using AI internally to help employees complete tasks such as coding, sales and design more efficiently, while also building AI directly into products so customers can perform work that previously required human teams. The authors warned that if AI adoption continues to accelerate unevenly, it could widen performance gaps among workers and entrepreneurs rather than expanding access to opportunities. International Monetary Fund Managing Director Kristalina Georgieva has also urged policymakers to ensure AI's economic benefits are broadly shared as the technology transforms labor markets. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo courtesy: Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.