AI-Heavy Companies Grow Headcount Faster, New Data Shows

Aggressive AI Adopters Are Hiring, Not Cutting

Companies that invest heavily in artificial intelligence are expanding their workforces at a notably faster pace than their peers, according to new research that complicates the narrative around AI-driven job displacement.

A report from Ramp and Revelio Labs analyzed enterprise AI spending and workforce records from nearly 22,000 companies. The findings show that "high-intensity adopters"—firms spending an average of $30 per employee per month on AI during their first three months of adoption—increased headcount by 10.2%.

The growth wasn't confined to technical roles. Headcount rose across engineering, sales, administration, customer service, finance, marketing, and scientific positions. The information sector, encompassing software, internet, media, and adjacent tech firms, saw the strongest job growth among heavy AI adopters.

Entry-level positions, often cited as the most vulnerable to AI replacement, actually grew by 12% at these tech-forward companies. This stands in contrast to recent Goldman Sachs research indicating AI has eliminated approximately 16,000 net jobs monthly over the past year, with Gen Z and entry-level workers bearing the heaviest losses.

Why it matters

This research suggests AI adoption may be creating a two-tier economy where well-resourced firms use AI to expand operations while others struggle to translate experimentation into growth. Companies with capital, technical talent, and management capacity to implement AI strategically appear positioned to pull further ahead, potentially widening competitive gaps across industries.

The Expansion Effect

The report's authors argue that AI functions as a tool for firm expansion rather than simple labor substitution in certain contexts. For software and technology companies, AI reduces the cost and time required for core activities: writing code, debugging, building internal tools, producing technical documentation, and supporting product development.

When production costs drop in these workflows, the return on expanding the entire organization—not just engineering teams—increases. This dynamic may explain why AI-heavy adopters are growing rather than shrinking their workforces.

Not a Universal Pattern

The researchers acknowledge important limitations. The data skews heavily toward tech-forward, knowledge-work firms, many likely backed by venture capital and already experiencing rapid growth. This makes it difficult to determine whether AI drives the hiring or simply appears at companies that would be expanding regardless.

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

Companies that purchase subscriptions and run pilots but fail to make sustained AI investments show no headcount gains, according to the report. The implication: firms lacking the resources to move beyond experimentation risk falling behind competitors that can translate AI adoption into measurable business advantages.

Through May 2026, companies announced nearly 90,000 job cuts attributed to AI. Some projections estimate AI could eliminate up to 15% of U.S. jobs over the next five years. The new findings don't erase these concerns but add nuance to understanding which companies and workers may face the greatest risks.

These details were first reported by TechCrunch.