Top AI spenders grow jobs by 10%: Ramp Economics Lab
NEW YORK, UNITED STATES — A first-of-its-kind study linking corporate AI spending to workforce data found that top spenders grew headcount by 10.2% over two years — with entry-level roles rising 12% — while low-intensity adopters showed no statistically significant change, according to a report from Ramp Economics Lab.
Heavy AI investment drives hiring, not headcount cuts
Ara Kharazian, lead economist at Ramp, said the findings challenge the dominant AI job-displacement narrative.
“Our research shows that firms that invest more in AI also hire more following adoption, including in entry-level roles,” Kharazian said.
The Ramp Economics Lab study tracked 21,599 US firms, linking corporate card and bill pay data to Revelio Labs workforce records — the first analysis to use observed, firm-level AI spending to measure workforce outcomes at scale.
High-intensity adopters — firms spending roughly $30 per employee per month on AI in the initial three months — saw headcount gains materialize 6 to 12 months after adoption and compound from there.
AI adoption does not create job loss — it creates a bifurcated market where heavy spenders add workers and light spenders stand still.
The gains compound — and reach entry-level workers
“If you are reading headlines where CEOs blame layoffs on AI, be skeptical,” Kharazian wrote, noting that high spenders are not replacing workers — they are doing more.
Entry-level headcount grew 12% at high-intensity AI spenders, and that cohort’s entry-level share of total employment rose 1.15 percentage points relative to comparable non-adopting firms.
The researchers caution the study shows correlation rather than causation — AI adopters were already larger, faster-growing, and more technical before the study period — but argue the direction of the relationship is clear.
Kharazian put it in plain terms: “These firms can go do more things now” — a summary of why AI investment translates to headcount growth rather than headcount reduction. Twelve percent more entry-level workers at the firms investing hardest in AI is not a rounding error — it is a structural signal that AI is creating work, not eliminating it.
For BPO providers and offshore staffing firms, the Ramp findings map directly onto their service proposition — companies scaling AI infrastructure need more people to run it, train it, and apply it across business functions.
Entry-level roles — the category growing fastest at top AI spenders — are precisely the tier where offshore teams in the Philippines provide the fastest, most cost-effective scale. As heavy AI investment becomes the dividing line between companies that grow and companies that stagnate, offshore delivery partners who align their delivery to AI-enabled workflows will capture the demand the data already signals.
