AI Investment Linked to Workforce Growth Rather Than Large-Scale Job Cuts, Study Shows

For years, concerns about artificial intelligence replacing workers have dominated discussions about the future of employment. However, new research from Ramp Economics Lab and Revelio Labs suggests that companies making significant investments in AI have generally expanded their workforces instead of reducing them.

The report, "A New Look at AI’s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment," examined data from 21,559 companies across the United States. Researchers combined Ramp's transaction data, which reflects business spending on AI tools, with workforce information from Revelio Labs to evaluate how AI adoption corresponded with employment trends.

To measure adoption, the study identified companies that consistently spent at least $100 per month on AI tools for three consecutive months. Businesses were then grouped according to their AI spending per employee during the first three months of sustained adoption.

Among companies with the highest level of AI investment, total employee headcount increased by 10.2% over the following two years. In comparison, organizations with lower AI spending showed no statistically significant change in workforce size.

The research found that employment growth occurred gradually as companies integrated AI into their operations. Hiring expanded across multiple functions, including engineering, sales, customer success, and administrative roles, rather than being concentrated in a single department.

The findings also challenge the belief that AI mainly replaces entry-level employees. Within the group of companies investing most heavily in AI, entry-level employment rose by 12%, slightly outpacing overall workforce growth. The proportion of entry-level employees also increased modestly during the period studied.

Researchers noted that companies adopting AI more aggressively already shared certain characteristics before increasing their investments. Many were larger organizations, had stronger technical capabilities, and were growing more rapidly, often with venture capital backing. According to the study, sustained AI investment appeared to support their ongoing expansion, leading to greater hiring demand.

The report also highlights several limitations. It focuses on a two-year period after AI adoption and examines firms making substantial AI investments rather than those using only basic AI subscriptions. The strongest workforce gains were observed in the information sector and other knowledge-intensive industries.

While the researchers acknowledge that workforce structures may change over a longer timeframe as AI technology evolves, the current evidence does not support the expectation of widespread job losses among companies actively investing in AI. Instead, the study concludes that businesses adopting AI at scale have generally continued to grow their teams.