The Debate Over AI and Jobs Just Became More Complex Posted on : Jun 30 - 2026

Concerns about AI-driven job losses intensify each time another company announces layoffs linked to automation. Through May 2026, companies reported nearly 90,000 job cuts associated with AI adoption, while some forecasts suggest that as many as 15% of U.S. jobs could be eliminated by AI over the next five years. Against this backdrop, assurances from the technology industry that AI will also create new opportunities have done little to ease anxieties—especially among students and early-career professionals wondering what the future job market will look like.

However, new research from Ramp and Revelio Labs adds important nuance to this increasingly polarized debate. Drawing on enterprise AI spending data and workforce records from nearly 22,000 companies, the report challenges the assumption that AI adoption inevitably leads to widespread job losses.

The researchers found that companies making substantial investments in AI are actually expanding their workforces faster than their peers, including in many entry-level roles that are often viewed as most vulnerable to automation. According to the study, "high-intensity adopters"—companies spending an average of $30 per employee per month on AI during their first three months of adoption—experienced headcount growth of 10.2%.

Employment growth was observed across multiple business functions, including engineering, sales, administration, customer service, finance, marketing, and scientific roles. The strongest gains occurred in the information sector, encompassing software, internet, media, and other technology-focused industries.

Yet the findings are not entirely straightforward. The data is heavily weighted toward fast-growing, technology-oriented companies, many of which may already benefit from venture capital funding and strong growth trajectories. This makes it difficult to determine whether AI is directly driving hiring growth or simply being adopted by companies that were already expanding.

As the report's authors acknowledge, "This paper does not show that AI universally creates jobs, but it does counter claims that AI will lead to broad job losses."

The study also challenges the narrative that AI is eliminating all entry-level positions. While separate research from Goldman Sachs estimates that AI has contributed to a net loss of approximately 16,000 jobs per month over the past year—with younger and entry-level workers disproportionately affected—the Ramp and Revelio analysis found that entry-level employment at high-AI-adoption firms actually increased by 12%.

One possible conclusion is that AI may function less as a tool for labor substitution and more as a catalyst for business expansion. As the report explains, AI enables software and technology companies to reduce the cost and increase the speed of core activities such as coding, debugging, building internal tools, creating technical documentation, and supporting product development. Lower costs and greater productivity can increase the economic incentive to expand the business as a whole, rather than simply reducing headcount.

At the same time, companies that limit their AI efforts to subscriptions and pilot programs without making sustained investments appear to experience little or no employment growth. This raises the possibility of a widening divide between organizations with the capital, technical talent, leadership capacity, and networks necessary to translate AI adoption into business expansion, and those that remain stuck in the experimentation phase.

In other words, the companies that already possess significant resources may be the ones best positioned to realize the benefits of AI. As the report's authors warn, this gap could continue to widen over time: "Firms without those channels may fall behind."