📰 Key Takeaways

Fears of AI replacing jobs keep rising. By May 2026, nearly 98,000 US positions had been explicitly marked for “AI-driven cuts,” with some forecasts projecting up to 15% of American jobs could vanish in the next five years. However, after tracking AI spending and workforce data across nearly 22,000 companies, Ramp and Revelio Labs found a counterintuitive signal: companies aggressively adopting AI actually saw faster headcount growth.

The report defines companies spending an average of over $30 per employee per month on AI tools as “high-intensity adopters.” These firms saw their overall headcount grow 10.2% within the first three months of adoption, with growth spanning engineering, sales, admin, customer support, finance, marketing, and research. Even more notably, even the entry-level roles that everyone worried were “first to be eliminated” actually rose by 12% at these tech-forward companies — a stark contrast to Goldman Sachs Research’s finding that AI is wiping out roughly 16,000 net jobs per month (with Gen Z and frontline workers hit hardest).

That said, the study’s authors admit the sample heavily skews toward fast-growing, venture-capital-backed tech knowledge-work companies, so you can’t directly conclude “AI universally creates jobs.” Additionally, companies that only subscribed to trials without sustained investment saw virtually no workforce benefits. This suggests future AI gains may concentrate among firms with capital, technical talent, and management bandwidth — while companies “stuck in trial mode” fall further behind.

💬 JudyAI Lab’s Take

“Companies aggressively adopting AI actually saw faster headcount growth” — this counterintuitive finding from nearly 22,000 companies’ tracked data has put the first crack in the “AI will inevitably cut jobs” anxiety narrative.

The data reveals a clear dividing line: companies spending an average of over $30 per employee per month on sustained AI tool procurement saw their overall headcount grow 10.2% in three months, with even the entry-level roles everyone worried about rising 12%. In contrast, companies that only subscribed to trials without sustained investment saw virtually no benefits. The study’s authors also admit the sample heavily skews toward VC-backed fast-growth tech companies, so you can’t directly conclude “AI universally creates jobs.” But this “intensity threshold” signal is practical for AI builders: whether AI truly transforms a company’s DNA depends on adoption depth, not just having a subscription account.

When evaluating AI tool procurement, ask first: is our team “consistently深度 using” it or “trying and shelving”? This gap may be determining competitive distance in the years ahead.

📅 Source Info

🔗 Further Reading