Heavy AI Adopters Grew Workforces 10%, New Study Finds

Companies investing heavily in AI are hiring, not cutting

Firms that commit substantial resources to artificial intelligence are expanding their workforces rather than shrinking them, according to new research that challenges the narrative linking AI adoption to mass layoffs.

A study published Tuesday by financial services company Ramp and employment database Revelio Labs tracked nearly 22,000 U.S. companies between January 2021 and February 2026. The research found that organizations spending heavily on AI increased their total headcount by an average of 10% in the two years following implementation. Companies making the largest AI investments expanded entry-level hiring by 12%.

"Our early result is that it looks like firms are starting to look for more entry-level hires, likely people who are more AI native," said Ara Kharazian, lead economist at Ramp.

Why it matters

This research offers a counterpoint to the "AI washing" phenomenon, where companies may attribute routine cost-cutting to technology adoption. For job seekers and recent graduates, the findings suggest that AI-forward companies represent better employment prospects than those avoiding or minimally adopting the technology. The distinction between heavy and light adopters is critical: only firms spending more than $100 per employee monthly on advanced AI tools—such as coding subscriptions rather than basic ChatGPT access—saw workforce growth.

The intensity threshold matters

The study revealed a sharp divide between adoption levels. Companies classified as "early and intense" AI adopters provided employees with advanced AI tools and spent more than $100 per month per employee. These organizations saw meaningful hiring gains.

In contrast, "low-intensity, casual" adopters who made minimal AI investments didn't experience hiring gains and actually reduced headcount.

"If you are a job seeker, or you are graduating from college, and you're choosing between two different firms that are otherwise similar, I would choose the one that's using AI," Kharazian said. "Our paper shows that that firm is going to grow faster."

Reconciling conflicting data

The Ramp findings appear to contradict other recent research. A November 2025 Stanford University study examining payroll data across the entire labor market found employment among young software developers had declined nearly 20% from its late-2022 peak.

Kharazian argues both findings can be accurate because they examine different populations. The Stanford study looked at the broader labor market, while Ramp focused specifically on AI-adopting companies—many of them fast-growing, venture-backed firms actively hiring AI-native junior employees.

Meanwhile, California's AI-unemployment tracker revealed concerning trends among highly educated workers. Unemployment insurance claims among college-educated workers in high-AI-exposure jobs like customer service and software development increased after ChatGPT's November 2022 release and remained elevated through May 2026. Claims among master's and PhD holders in AI-exposed occupations rose from 13,000 per month to between 16,000 and 22,000 monthly since mid-2023.

The California data also showed that workers aged 36 to 65 filed a significant portion of claims, contradicting assumptions that AI primarily affects early-career employees.

The AI washing question

In 2026, tech companies have eliminated more than 160,000 positions, according to trueup.io. Meta, Oracle, Microsoft, and other major firms have laid off tens of thousands while simultaneously investing billions in AI data centers, often citing AI as a primary reason.

The Ramp research suggests some companies may be using AI as cover for standard cost reduction. "When you hear CEOs talk about layoffs and they attribute it to AI, I would be skeptical," Kharazian said.

The details were first reported by the Los Angeles Times.